STIC Sensitivity Harvard Forest.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Callable\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from verma_net_radiation_sensitivity.verma_net_radiation_sensitivity import process_verma_net_radiation_table\n",
    "from STIC_sensitivity import process_STIC_table\n",
    "from sensitivity import perturbed_run\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_verma_STIC_table(input_df: pd.DataFrame) -> pd.DataFrame:\n",
    "    return process_STIC_table(process_verma_net_radiation_table(input_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0.1', 'Unnamed: 0', 'tower', 'lat', 'lon', 'time_UTC',\n",
       "       'date_UTC', 'time_solar', 'NDVI', 'NDVI-UQ', 'albedo', 'albedo-UQ',\n",
       "       'BESSinst', 'ESI', 'ESIdaily', 'ESIdailyUncertainty', 'ETdaily',\n",
       "       'ETdailyUncertainty', 'ETinstUncertainty', 'EmisWB', 'GPP', 'LST',\n",
       "       'LST_err', 'MOD16inst', 'PET', 'PTJPLSMcanopy', 'PTJPLSMinst',\n",
       "       'PTJPLSMinterception', 'PTJPLSMsoil', 'RH', 'Rg', 'Rn', 'SM',\n",
       "       'STICcanopy', 'STICinst', 'Ta_C', 'WUE', 'elevation_m', 'radiance_2',\n",
       "       'radiance_4', 'radiance_5', 'view_zenith', 'elevation_km', 'doy', 'AOT',\n",
       "       'COT', 'vapor_gccm', 'ozone_cm', 'SZA', 'KG', 'Ra', 'UV', 'VIS', 'NIR',\n",
       "       'VISdiff', 'NIRdiff', 'VISdir', 'NIRdir', 'SWout', 'LWin', 'LWout',\n",
       "       'hour_of_day', 'Topt', 'fAPARmax'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_df = pd.read_csv(\"ha2_PTJPL_inputs.csv\")\n",
    "input_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.636\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1010.906\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.367\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-44.305\u001b[0m mean: \u001b[36m56.804\u001b[0m max: \u001b[36m249.063\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m227.448\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.24\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m176.735\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.361\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-44.302\u001b[0m mean: \u001b[36m56.540\u001b[0m max: \u001b[36m249.055\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m233.520\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.714\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m134.326\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.360\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-44.298\u001b[0m mean: \u001b[36m56.468\u001b[0m max: \u001b[36m249.054\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.330\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.498\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m339.899\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.357\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-44.294\u001b[0m mean: \u001b[36m56.392\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m240.851\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.359\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m464.191\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-44.290\u001b[0m mean: \u001b[36m56.308\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.260\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.023\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.355\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-44.639\u001b[0m mean: \u001b[36m56.306\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.186\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.114\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.355\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-45.025\u001b[0m mean: \u001b[36m56.264\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.550\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.866\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m441.148\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.354\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-44.448\u001b[0m mean: \u001b[36m56.163\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.831\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.597\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m360.724\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-44.264\u001b[0m mean: \u001b[36m56.022\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m240.647\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m-166.878\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m432.973\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-44.255\u001b[0m mean: \u001b[36m55.944\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.288\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.921\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m449.74\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.358\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-44.245\u001b[0m mean: \u001b[36m55.711\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.884\u001b[0m max: \u001b[36m906.544\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.446\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.358\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-44.234\u001b[0m mean: \u001b[36m55.699\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.490\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.178\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.357\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-44.221\u001b[0m mean: \u001b[36m55.716\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.211\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:31 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.905\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m429.048\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.358\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-44.206\u001b[0m mean: \u001b[36m55.703\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.470\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.84\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m427.592\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.360\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-44.211\u001b[0m mean: \u001b[36m55.710\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.120\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.807\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m426.579\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.361\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-44.473\u001b[0m mean: \u001b[36m55.645\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.991\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.715\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m426.579\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-44.720\u001b[0m mean: \u001b[36m55.613\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.733\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.747\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-44.950\u001b[0m mean: \u001b[36m55.595\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.906\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.824\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-45.340\u001b[0m mean: \u001b[36m55.608\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.873\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.901\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.321\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-45.666\u001b[0m mean: \u001b[36m55.588\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.675\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.91\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m275.314\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_21\u001b[0m min: \u001b[31m-45.927\u001b[0m mean: \u001b[36m55.563\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.905\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.794\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m265.952\u001b[0m (0.18 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_22\u001b[0m min: \u001b[31m-46.122\u001b[0m mean: \u001b[36m55.560\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.110\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.56\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m423.969\u001b[0m (0.19 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_23\u001b[0m min: \u001b[31m-46.087\u001b[0m mean: \u001b[36m55.571\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.976\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.566\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.20 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.365\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_24\u001b[0m min: \u001b[31m-45.821\u001b[0m mean: \u001b[36m55.589\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.060\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.894\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m472.503\u001b[0m (0.21 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.365\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_25\u001b[0m min: \u001b[31m-45.864\u001b[0m mean: \u001b[36m55.605\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.010\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.845\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m263.47\u001b[0m (0.22 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.365\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_26\u001b[0m min: \u001b[31m-45.874\u001b[0m mean: \u001b[36m55.588\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.862\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.971\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m234.565\u001b[0m (0.22 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_27\u001b[0m min: \u001b[31m-43.648\u001b[0m mean: \u001b[36m55.565\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.731\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.793\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m415.669\u001b[0m (0.23 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_28\u001b[0m min: \u001b[31m-43.694\u001b[0m mean: \u001b[36m55.550\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.979\u001b[0m max: \u001b[36m896.075\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.872\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m415.669\u001b[0m (0.23 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_29\u001b[0m min: \u001b[31m-43.853\u001b[0m mean: \u001b[36m55.548\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.895\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.843\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.321\u001b[0m (0.24 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_30\u001b[0m min: \u001b[31m-43.419\u001b[0m mean: \u001b[36m55.523\u001b[0m max: \u001b[36m249.053\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.093\u001b[0m max: \u001b[36m896.072\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tower</th>\n",
       "      <th>time_solar</th>\n",
       "      <th>LST_unperturbed</th>\n",
       "      <th>LST_perturbation</th>\n",
       "      <th>LST_perturbation_std</th>\n",
       "      <th>LST_perturbed</th>\n",
       "      <th>LE_unperturbed</th>\n",
       "      <th>LE_perturbation</th>\n",
       "      <th>LE_perturbation_std</th>\n",
       "      <th>LE_perturbed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-0.515748</td>\n",
       "      <td>-0.061876</td>\n",
       "      <td>304.784252</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-4.952059</td>\n",
       "      <td>-0.594117</td>\n",
       "      <td>300.347941</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-1.090430</td>\n",
       "      <td>-0.130823</td>\n",
       "      <td>304.20957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-2.472681</td>\n",
       "      <td>-0.296657</td>\n",
       "      <td>302.827319</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>3.015834</td>\n",
       "      <td>0.361821</td>\n",
       "      <td>308.315834</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2595</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>275.066667</td>\n",
       "      <td>1.260044</td>\n",
       "      <td>0.151172</td>\n",
       "      <td>276.326711</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>-1.76805</td>\n",
       "      <td>-0.007956</td>\n",
       "      <td>10.645767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2596</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>275.066667</td>\n",
       "      <td>-7.527299</td>\n",
       "      <td>-0.903079</td>\n",
       "      <td>267.539368</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>10.692947</td>\n",
       "      <td>0.04812</td>\n",
       "      <td>23.106764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2597</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>275.066667</td>\n",
       "      <td>-11.231289</td>\n",
       "      <td>-1.347460</td>\n",
       "      <td>263.835377</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>15.89879</td>\n",
       "      <td>0.071547</td>\n",
       "      <td>28.312607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2598</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>275.066667</td>\n",
       "      <td>-6.049585</td>\n",
       "      <td>-0.725792</td>\n",
       "      <td>269.017081</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>8.598819</td>\n",
       "      <td>0.038696</td>\n",
       "      <td>21.012636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2599</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>275.066667</td>\n",
       "      <td>-5.700378</td>\n",
       "      <td>-0.683896</td>\n",
       "      <td>269.366289</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>8.102754</td>\n",
       "      <td>0.036464</td>\n",
       "      <td>20.516571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2600 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tower time_solar LST_unperturbed  LST_perturbation  \\\n",
       "0     US-Ha2    05:59.3           305.3         -0.515748   \n",
       "1     US-Ha2    05:59.3           305.3         -4.952059   \n",
       "2     US-Ha2    05:59.3           305.3         -1.090430   \n",
       "3     US-Ha2    05:59.3           305.3         -2.472681   \n",
       "4     US-Ha2    05:59.3           305.3          3.015834   \n",
       "...      ...        ...             ...               ...   \n",
       "2595  US-Ha2    35:38.3      275.066667          1.260044   \n",
       "2596  US-Ha2    35:38.3      275.066667         -7.527299   \n",
       "2597  US-Ha2    35:38.3      275.066667        -11.231289   \n",
       "2598  US-Ha2    35:38.3      275.066667         -6.049585   \n",
       "2599  US-Ha2    35:38.3      275.066667         -5.700378   \n",
       "\n",
       "      LST_perturbation_std LST_perturbed LE_unperturbed LE_perturbation  \\\n",
       "0                -0.061876    304.784252            0.0             0.0   \n",
       "1                -0.594117    300.347941            0.0             0.0   \n",
       "2                -0.130823     304.20957            0.0             0.0   \n",
       "3                -0.296657    302.827319            0.0             0.0   \n",
       "4                 0.361821    308.315834            0.0             0.0   \n",
       "...                    ...           ...            ...             ...   \n",
       "2595              0.151172    276.326711      12.413817        -1.76805   \n",
       "2596             -0.903079    267.539368      12.413817       10.692947   \n",
       "2597             -1.347460    263.835377      12.413817        15.89879   \n",
       "2598             -0.725792    269.017081      12.413817        8.598819   \n",
       "2599             -0.683896    269.366289      12.413817        8.102754   \n",
       "\n",
       "     LE_perturbation_std  LE_perturbed  \n",
       "0                    0.0      0.000000  \n",
       "1                    0.0      0.000000  \n",
       "2                    0.0      0.000000  \n",
       "3                    0.0      0.000000  \n",
       "4                    0.0      0.000000  \n",
       "...                  ...           ...  \n",
       "2595           -0.007956     10.645767  \n",
       "2596             0.04812     23.106764  \n",
       "2597            0.071547     28.312607  \n",
       "2598            0.038696     21.012636  \n",
       "2599            0.036464     20.516571  \n",
       "\n",
       "[2600 rows x 10 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_variable = \"LST\"\n",
    "output_variable = \"LE\"\n",
    "results = perturbed_run(input_df, input_variable, output_variable, process_verma_STIC_table)\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input variable: LST\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.505\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1011.212\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-44.844\u001b[0m mean: \u001b[36m57.282\u001b[0m max: \u001b[36m228.379\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m228.115\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.36\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m334.711\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.360\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-44.854\u001b[0m mean: \u001b[36m57.049\u001b[0m max: \u001b[36m228.165\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m233.713\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.321\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m235.673\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.358\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-44.864\u001b[0m mean: \u001b[36m56.995\u001b[0m max: \u001b[36m228.090\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.676\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.03\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.019\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.355\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-44.876\u001b[0m mean: \u001b[36m56.913\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m240.887\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.388\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m460.786\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.350\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-44.887\u001b[0m mean: \u001b[36m56.839\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.479\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.514\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m460.786\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-44.899\u001b[0m mean: \u001b[36m56.724\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.941\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.48\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m466.346\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-45.060\u001b[0m mean: \u001b[36m56.695\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.816\u001b[0m max: \u001b[36m939.976\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.97\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m466.346\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.353\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-44.924\u001b[0m mean: \u001b[36m56.592\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m239.198\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.898\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m437.052\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.352\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-44.937\u001b[0m mean: \u001b[36m56.412\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m240.358\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.613\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m434.177\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.351\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-44.950\u001b[0m mean: \u001b[36m56.428\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.163\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.489\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m432.815\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.356\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-44.963\u001b[0m mean: \u001b[36m56.171\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.147\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.61\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m429.269\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.356\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-44.976\u001b[0m mean: \u001b[36m56.103\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.943\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.417\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m429.269\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.357\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-44.988\u001b[0m mean: \u001b[36m56.062\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.162\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.816\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m294.383\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.358\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-45.010\u001b[0m mean: \u001b[36m56.020\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m238.032\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m15.659\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m292.67\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.359\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-45.046\u001b[0m mean: \u001b[36m56.011\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m236.927\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.649\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m442.982\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.361\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-45.080\u001b[0m mean: \u001b[36m55.952\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.774\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.637\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m442.982\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.360\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-45.147\u001b[0m mean: \u001b[36m55.943\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.452\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.697\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m425.491\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.361\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-45.570\u001b[0m mean: \u001b[36m55.940\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.205\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.645\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m425.491\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.362\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-45.560\u001b[0m mean: \u001b[36m55.951\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.327\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.609\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.405\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.362\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-45.919\u001b[0m mean: \u001b[36m55.950\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.701\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.648\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.405\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_21\u001b[0m min: \u001b[31m-45.445\u001b[0m mean: \u001b[36m55.975\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.409\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.65\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m439.083\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_22\u001b[0m min: \u001b[31m-45.552\u001b[0m mean: \u001b[36m55.971\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.504\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.67\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m439.083\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.363\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_23\u001b[0m min: \u001b[31m-45.637\u001b[0m mean: \u001b[36m55.954\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.731\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.682\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m424.069\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_24\u001b[0m min: \u001b[31m-45.698\u001b[0m mean: \u001b[36m55.936\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.628\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.704\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.019\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_25\u001b[0m min: \u001b[31m-45.734\u001b[0m mean: \u001b[36m55.941\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.647\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.65\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m437.629\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_26\u001b[0m min: \u001b[31m-45.744\u001b[0m mean: \u001b[36m55.935\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.991\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.901\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m437.629\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.364\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_27\u001b[0m min: \u001b[31m-45.726\u001b[0m mean: \u001b[36m55.928\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.660\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.651\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.019\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.365\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_28\u001b[0m min: \u001b[31m-45.555\u001b[0m mean: \u001b[36m55.907\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.811\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.665\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.272\u001b[0m (0.18 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_29\u001b[0m min: \u001b[31m-45.020\u001b[0m mean: \u001b[36m55.907\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.670\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.684\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m276.272\u001b[0m (0.18 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.366\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_30\u001b[0m min: \u001b[31m-44.942\u001b[0m mean: \u001b[36m55.897\u001b[0m max: \u001b[36m228.084\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.502\u001b[0m max: \u001b[36m894.246\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input variable: NDVI\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "no relationship between NDVI and LE\n",
      "input variable: albedo\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/vegetation_conversion/vegetation_conversion.py:45: RuntimeWarning: divide by zero encountered in log\n",
      "  LAI = rt.clip(-np.log(1 - fIPAR) * (1 / KPAR), min_LAI, max_LAI)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m225.24\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-42.985\u001b[0m mean: \u001b[36m65.853\u001b[0m max: \u001b[36m218.688\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.990\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.25\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m51.958\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-43.219\u001b[0m mean: \u001b[36m65.553\u001b[0m max: \u001b[36m216.791\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.282\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.948\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m41.145\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-43.375\u001b[0m mean: \u001b[36m65.658\u001b[0m max: \u001b[36m215.285\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.144\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m13.299\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.324\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-43.480\u001b[0m mean: \u001b[36m66.013\u001b[0m max: \u001b[36m214.142\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.109\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.815\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m10.9\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-43.553\u001b[0m mean: \u001b[36m66.153\u001b[0m max: \u001b[36m213.247\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.098\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.294\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m237.812\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-43.607\u001b[0m mean: \u001b[36m66.339\u001b[0m max: \u001b[36m212.527\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.609\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.067\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m237.58\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-43.649\u001b[0m mean: \u001b[36m66.548\u001b[0m max: \u001b[36m211.937\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.135\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.793\u001b[0m\n",
      "[2024-01-09 14:11:32 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m237.58\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-43.681\u001b[0m mean: \u001b[36m66.164\u001b[0m max: \u001b[36m211.445\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.080\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.45\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m20.015\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-43.707\u001b[0m mean: \u001b[36m64.234\u001b[0m max: \u001b[36m211.029\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.896\u001b[0m max: \u001b[36m716.878\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.801\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m19.16\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-43.728\u001b[0m mean: \u001b[36m64.175\u001b[0m max: \u001b[36m210.673\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.065\u001b[0m max: \u001b[36m720.704\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.615\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m129.636\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-43.746\u001b[0m mean: \u001b[36m64.111\u001b[0m max: \u001b[36m210.366\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.192\u001b[0m max: \u001b[36m725.129\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.585\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.127\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-43.761\u001b[0m mean: \u001b[36m63.564\u001b[0m max: \u001b[36m210.097\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.586\u001b[0m max: \u001b[36m729.063\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.473\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m101.679\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-43.773\u001b[0m mean: \u001b[36m63.137\u001b[0m max: \u001b[36m209.862\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.670\u001b[0m max: \u001b[36m732.583\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.573\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.167\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-43.783\u001b[0m mean: \u001b[36m63.087\u001b[0m max: \u001b[36m209.657\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.871\u001b[0m max: \u001b[36m735.749\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.507\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.864\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-43.792\u001b[0m mean: \u001b[36m63.058\u001b[0m max: \u001b[36m209.483\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.009\u001b[0m max: \u001b[36m738.613\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.565\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.603\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-43.799\u001b[0m mean: \u001b[36m63.032\u001b[0m max: \u001b[36m209.333\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.166\u001b[0m max: \u001b[36m741.216\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.529\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.375\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-43.805\u001b[0m mean: \u001b[36m63.008\u001b[0m max: \u001b[36m209.203\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.280\u001b[0m max: \u001b[36m743.592\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.564\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.176\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-43.811\u001b[0m mean: \u001b[36m62.986\u001b[0m max: \u001b[36m209.089\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.371\u001b[0m max: \u001b[36m745.768\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.545\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.001\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.305\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-43.815\u001b[0m mean: \u001b[36m62.965\u001b[0m max: \u001b[36m208.988\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.439\u001b[0m max: \u001b[36m747.768\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.569\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.845\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.305\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-43.819\u001b[0m mean: \u001b[36m62.944\u001b[0m max: \u001b[36m208.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.513\u001b[0m max: \u001b[36m749.614\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] max LE change \u001b[36m1.845\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m20\u001b[0m iterations\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input variable: Ta_C\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.903\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1393.973\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-49.878\u001b[0m mean: \u001b[36m55.573\u001b[0m max: \u001b[36m230.623\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m222.339\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.137\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m278.148\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.384\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-48.156\u001b[0m mean: \u001b[36m54.978\u001b[0m max: \u001b[36m230.469\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m229.214\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.34\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m195.701\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.379\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-47.020\u001b[0m mean: \u001b[36m54.636\u001b[0m max: \u001b[36m230.409\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m232.035\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.408\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.377\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-47.023\u001b[0m mean: \u001b[36m54.420\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m237.224\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.638\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.374\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m54.301\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.686\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.73\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m266.642\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.378\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-49.542\u001b[0m mean: \u001b[36m54.175\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.122\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.812\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m296.07\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.375\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-58.818\u001b[0m mean: \u001b[36m54.092\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.567\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.785\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m289.212\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.374\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-62.150\u001b[0m mean: \u001b[36m54.066\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.291\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.046\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m239.57\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.370\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-57.169\u001b[0m mean: \u001b[36m54.040\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.167\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.099\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.369\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-59.320\u001b[0m mean: \u001b[36m54.038\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.755\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.921\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.142\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.372\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-52.870\u001b[0m mean: \u001b[36m53.935\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m235.274\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.721\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m226.765\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.377\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.819\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.191\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.038\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m46.537\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.592\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.233\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m12.757\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m41.733\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.564\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.302\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.931\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m239.185\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.547\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.402\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.005\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.534\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.441\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.008\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m206.281\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.522\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.506\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.009\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m239.09\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.511\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.446\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.005\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m263.527\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.503\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.462\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.009\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.142\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.492\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.574\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.67\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m264.224\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_21\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.482\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.565\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.008\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.381\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_22\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.471\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.501\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.012\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m14.501\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_23\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.459\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.574\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.094\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m13.061\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_24\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.441\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.594\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.915\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m264.661\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_25\u001b[0m min: \u001b[31m-56.784\u001b[0m mean: \u001b[36m53.428\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.614\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.992\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m227.557\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_26\u001b[0m min: \u001b[31m-62.150\u001b[0m mean: \u001b[36m53.419\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.662\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.995\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m264.943\u001b[0m (0.18 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.382\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_27\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.427\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.616\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.0\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m265.023\u001b[0m (0.19 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.383\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_28\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.420\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.443\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.013\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m223.455\u001b[0m (0.19 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.383\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_29\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.413\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.395\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m9.022\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m6.665\u001b[0m (0.20 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.383\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_30\u001b[0m min: \u001b[31m-47.024\u001b[0m mean: \u001b[36m53.403\u001b[0m max: \u001b[36m230.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m234.409\u001b[0m max: \u001b[36m912.609\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input variable: RH\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m1.965\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m973.778\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.331\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-42.388\u001b[0m mean: \u001b[36m62.502\u001b[0m max: \u001b[36m200.632\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m288.342\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m3.337\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m92.66\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.340\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-42.485\u001b[0m mean: \u001b[36m61.966\u001b[0m max: \u001b[36m199.612\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m297.135\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.2\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m55.032\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.343\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-42.479\u001b[0m mean: \u001b[36m61.613\u001b[0m max: \u001b[36m198.843\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.645\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.194\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m273.963\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.344\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-42.475\u001b[0m mean: \u001b[36m61.433\u001b[0m max: \u001b[36m198.285\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m309.010\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.957\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m279.414\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.344\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m61.374\u001b[0m max: \u001b[36m197.860\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m307.706\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.14\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m415.552\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.348\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m61.214\u001b[0m max: \u001b[36m197.527\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.442\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.985\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m415.552\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.346\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m61.349\u001b[0m max: \u001b[36m197.285\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m306.241\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.164\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m412.73\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.339\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m61.424\u001b[0m max: \u001b[36m197.103\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.788\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.234\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m292.279\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.340\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.875\u001b[0m max: \u001b[36m196.951\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.392\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.233\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m411.911\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.341\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.521\u001b[0m max: \u001b[36m196.823\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.285\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.199\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m411.911\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.338\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.363\u001b[0m max: \u001b[36m196.713\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.545\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.286\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m411.81\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.338\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.204\u001b[0m max: \u001b[36m196.618\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.004\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.232\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m411.721\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.338\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.141\u001b[0m max: \u001b[36m196.535\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.935\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.223\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m411.677\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.337\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.077\u001b[0m max: \u001b[36m196.462\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.991\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.313\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m378.348\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.338\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m60.015\u001b[0m max: \u001b[36m196.397\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.860\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.412\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m201.742\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.338\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.997\u001b[0m max: \u001b[36m196.340\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.205\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.719\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m269.771\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.339\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.964\u001b[0m max: \u001b[36m196.288\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.058\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.226\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.340\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.890\u001b[0m max: \u001b[36m196.242\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.265\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.273\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.340\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.866\u001b[0m max: \u001b[36m196.199\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.354\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.287\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m259.876\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.340\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.839\u001b[0m max: \u001b[36m196.161\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.203\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.252\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m289.658\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.341\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_21\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.805\u001b[0m max: \u001b[36m196.126\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.102\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.236\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.341\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_22\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.788\u001b[0m max: \u001b[36m196.094\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.223\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.281\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_23\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.788\u001b[0m max: \u001b[36m196.065\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.116\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.288\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m10.212\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_24\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.786\u001b[0m max: \u001b[36m196.038\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.186\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.292\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m245.843\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_25\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.769\u001b[0m max: \u001b[36m196.013\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.146\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.245\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m280.925\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_26\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.754\u001b[0m max: \u001b[36m195.990\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.153\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.282\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_27\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.723\u001b[0m max: \u001b[36m195.969\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.017\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.293\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.152\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_28\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.724\u001b[0m max: \u001b[36m195.949\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.064\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.291\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m217.539\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.343\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_29\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.713\u001b[0m max: \u001b[36m195.931\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.024\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.275\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m30\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m272.287\u001b[0m (0.17 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m0.342\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_30\u001b[0m min: \u001b[31m-42.473\u001b[0m mean: \u001b[36m59.700\u001b[0m max: \u001b[36m195.914\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_30\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m300.124\u001b[0m max: \u001b[36m879.689\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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unlx/1GEtQ+bIL6syXYg8DrvViIjIbhRKAambs1wyMAKAJsF+zq4CuSC2HBERkd0czC7UGV/kCiQA5KG3UgIQaWLLERER2c32rDxnV0GHarbawlFJzHdEejE4IiIiu9iamYv/7M2xy7HDAmQI8PEyWiY21A/T7k5AbKh215k81I/T+MkodqsREZHNqcYaiRXo64WKasPT+cMCZHi0VwJaRgWYnSH7hWG3M0M2mYXBERER2Zw5Y42eGZSImQMSDWbITmkVhZ6tI/UGNL0To9A7Mcro8b2kEk7XJ7MwOCIiIpv7VeRYo8d6t8TTg9oCqA9iHuvTyp7VIhKFY46IiMimtmbm4jORY40GJcntWxkiC7DliIiIbEbsWCNOpSdXxpYjIiKyGbFjjQRwKj25LrcJjurq6vDyyy8jISEB/v7+aNWqFV555RUolUp1GUEQsGjRIsTFxcHf3x/9+vXDH3/8oXWc6upqzJo1C1FRUQgMDMTo0aNx5coVR78cIqJGSexyHFN6t+RUenJZbhMcLVu2DB9++CFWr16NU6dOYfny5XjjjTewatUqdZnly5djxYoVWL16NQ4dOgS5XI7BgwejrKxMXWb27Nn44YcfsGHDBuzZswc3b97EyJEjoVAonPGyiIgaFbHLcQzmWCNyYRJBEFx1yRstI0eORExMDD777DP1tgceeAABAQFYt24dBEFAXFwcZs+ejblz5wKobyWKiYnBsmXLMG3aNJSUlCA6Ohrr1q3Dgw8+CAC4du0a4uPjkZaWhqFDh4qqS2lpKUJDQ1FSUoKQkBDbv1giIjelUAq4a9kO5JVU6c1ZpBprtGfuAHapkcOJ/f12m5aju+66C7/99hvOnDkDADh+/Dj27NmD4cOHAwCys7ORl5eHIUOGqPfx9fVF3759sW/fPgDAkSNHUFtbq1UmLi4OycnJ6jL6VFdXo7S0VOsfERHp8pJKsHBUEoBby3SocNkOchduExzNnTsXDz30ENq1aweZTIbOnTtj9uzZeOihhwAAeXn1OTViYmK09ouJiVE/lpeXBx8fH4SHhxsso8+SJUsQGhqq/hcfH2/Ll0ZE1KgMS47FB490gZzLdpCbcpup/F9//TXWr1+PL7/8Eu3bt0dGRgZmz56NuLg4TJo0SV1OItG+GxEEQWdbQ6bKzJ8/H88++6z679LSUgZIREQaFEpBa4mOwUlyDE6Sc9kOcktuExw9//zzmDdvHsaNGwcA6NChAy5evIglS5Zg0qRJkMvrB/fl5eUhNvbWXUl+fr66NUkul6OmpgZFRUVarUf5+fno1auXwef29fWFr6+vPV4WEZHb25qZi9TNWVpT+GND/bBwVBJbicgtuU23WkVFBaRS7ep6eXmpp/InJCRALpdj+/bt6sdramqwa9cudeDTtWtXyGQyrTK5ubnIzMw0GhwREZF+WzNz8eT6ozq5jfJKqvDk+qPYmpnrpJoRWc5tWo5GjRqF119/Hc2bN0f79u1x7NgxrFixAlOmTAFQ3502e/ZsLF68GImJiUhMTMTixYsREBCA8ePHAwBCQ0Px2GOPYc6cOYiMjERERASee+45dOjQAYMGDXLmyyMicjuqbNj6ZqUJqB+Anbo5C4OT5OxOI7fiNsHRqlWrsGDBAkyfPh35+fmIi4vDtGnT8O9//1td5oUXXkBlZSWmT5+OoqIi9OjRA9u2bUNwcLC6zMqVK+Ht7Y2xY8eisrISAwcOxNq1a+Hl5eWMl0VE5LZMZcMWAOSWVOFgdiFSWkc6rmJEVnKbPEeuhHmOiIiA7w9fxpzvTpgs9864ThjTqakDakRknNjfb7dpOSIiItfx+pYsfLo7W1RZsVmziVwFgyMiIjLL1C8OYXtWvslyqmzY3RMi7F8pIhtym9lqRETkfP+XcVVUYKTCbNjkjhgcERGRKAqlgOe+Nz3GCACC/byYDZvcFoMjIiISZfWOc6iqVYoqe2+nZgyMyG0xOCIiIpMUSgFr9oobgA0ALSMD7FgbIvticERERCYdzC5EcWWtqLJSCTAhpaV9K0RkRwyOiIjIKIVSwN5zBaLLP3ZXAny8+fNC7otT+YmIyCB9i8oa07VFGF4akWTnWhHZF4MjIiLSS7WorNhlFMICZPhmGhfxJvfHdk8iItKhUAqYt/Gk6MBIAmDp/R2Y04gaBbYcERGRjtU7zqK4QtwA7NhQPywclcSp+9RoMDgiIiItNXVKfLz7gqiyM/u3xjODb2OLETUqDI6IiAhAfVfa6h1n8fHuCyivVojap3ebaAZG1OgwOCIiImzNzMW8jSdFd6UB9QOwuagsNUYMjoiIPJy5s9JUHu2VwFYjapQ4W42IyIMplAJSN2eZHRiFBcgwc0Abu9SJyNnYckRE5IEUSgEHswux91yB6ASPmjhtnxozBkdERB7G3KzXmiICZVh8XwdO26dGjcEREZEHSTuRi+lfHrVo38hAH6TPH8h106jRY3BEROQBFEoB7/52Bu/+ds7iY7x+XzIDI/IIDI6IiBo5S6bpawoLkGHp/exKI8/B4IiIqBGzdJo+UB8UPdorATMHtOHga/IoDI6IiBoJ1Qy0vNIqFN6sRliAD15PM3+a/sz+rdG7TTS6J0QwKCKPxOCIiKgRsGYGmqbYUD+ulUYej8EREZGbs6brrKGFo5IYGJHH47QDIiI3ZmmG64akEuD98V046JoIDI6IiNzawexCq7vSAGD1Q50xvCMDIyKA3WpERG4tv8y6wIjT9Il0MTgiInJjTYL9LNqP0/SJDGNwRETkxorKq0WXjQz0wcsjboc81J/T9ImMYHBEROSmFEoBr245JaqsBPXLf7D7jMg0DsgmInJTYgdjRwTK8MEjnIlGJBaDIyIiNyV2MPaCke0ZGBGZgcEREZGbEjsYWx5i2aBtIk/F4IiIyE11T4hAbKgfDA2rlqB+OZDuCRGOrBaR22NwRETkprykEiwclQQAOgGS6m8uB0JkPgZHRERubFhyLD54pAvkodpdZ/JQPw7CJrIQp/ITEbm5YcmxGJwkx8HsQuSXVaFJsB/zGBFZgcEREVEj4CWVIKV1pLOrQdQosFuNiIiISAODIyIiIiINDI6IiIiINDA4IiIiItLA4IiIiIhIA4MjIiIiIg0MjoiIiIg0MDgiIiIi0uBWwdHVq1fxyCOPIDIyEgEBAejUqROOHDmiflwQBCxatAhxcXHw9/dHv3798Mcff2gdo7q6GrNmzUJUVBQCAwMxevRoXLlyxdEvhYiIiFyU2wRHRUVF6N27N2QyGX7++WdkZWXhrbfeQlhYmLrM8uXLsWLFCqxevRqHDh2CXC7H4MGDUVZWpi4ze/Zs/PDDD9iwYQP27NmDmzdvYuTIkVAoFE54VURERORqJIIgCM6uhBjz5s3D3r17sXv3br2PC4KAuLg4zJ49G3PnzgVQ30oUExODZcuWYdq0aSgpKUF0dDTWrVuHBx98EABw7do1xMfHIy0tDUOHDhVVl9LSUoSGhqKkpAQhISG2eYFERERkV2J/v92m5WjTpk3o1q0b/vnPf6JJkybo3LkzPvnkE/Xj2dnZyMvLw5AhQ9TbfH190bdvX+zbtw8AcOTIEdTW1mqViYuLQ3JysrqMPtXV1SgtLdX6R0RERI2T2wRHFy5cwAcffIDExET88ssveOKJJ/DUU0/hiy++AADk5eUBAGJiYrT2i4mJUT+Wl5cHHx8fhIeHGyyjz5IlSxAaGqr+Fx8fb8uXRkRERC7EbYIjpVKJLl26YPHixejcuTOmTZuGqVOn4oMPPtAqJ5FItP4WBEFnW0OmysyfPx8lJSXqf5cvX7b8hRAREZFLc5vgKDY2FklJSVrbbr/9dly6dAkAIJfLAUCnBSg/P1/dmiSXy1FTU4OioiKDZfTx9fVFSEiI1j8iIiJqnNwmOOrduzdOnz6tte3MmTNo0aIFACAhIQFyuRzbt29XP15TU4Ndu3ahV69eAICuXbtCJpNplcnNzUVmZqa6DBEREXk2b2dXQKxnnnkGvXr1wuLFizF27FgcPHgQH3/8MT7++GMA9d1ps2fPxuLFi5GYmIjExEQsXrwYAQEBGD9+PAAgNDQUjz32GObMmYPIyEhERETgueeeQ4cOHTBo0CBnvjwiIiJyEW4THN1555344YcfMH/+fLzyyitISEjA22+/jYcfflhd5oUXXkBlZSWmT5+OoqIi9OjRA9u2bUNwcLC6zMqVK+Ht7Y2xY8eisrISAwcOxNq1a+Hl5eWMl0VEREQuxm3yHLkS5jkiIiJyP40uzxERERGRIzA4IiIiItLA4IiIiIhIA4MjIiIiIg0MjoiIiIg0MDgiIiIi0sDgiIiIiEgDgyMiIiIiDQyOiIiIiDSYvXyIQqHA2rVr8dtvvyE/Px9KpVLr8R07dtisckRERESOZnZw9PTTT2Pt2rUYMWIEkpOTIZFI7FEvIiIiIqcwOzjasGEDvvnmGwwfPtwe9SEiIiJyKrPHHPn4+KBNmzb2qAsRERGR05kdHM2ZMwfvvPMOBEGwR32IiIiInMrsbrU9e/Zg586d+Pnnn9G+fXvIZDKtxzdu3GizyhERERE5mtnBUVhYGO677z571IWIiIjI6cwOjtasWWOPehARERG5BLODI5Xr16/j9OnTkEgkaNu2LaKjo21ZLyIiIiKnMHtAdnl5OaZMmYLY2Fjcfffd6NOnD+Li4vDYY4+hoqLCHnUkIiIichizg6Nnn30Wu3btwubNm1FcXIzi4mL89NNP2LVrF+bMmWOPOhIRERE5jEQwc05+VFQUvvvuO/Tr109r+86dOzF27Fhcv37dlvVzSaWlpQgNDUVJSQlCQkKcXR0iIiISQezvt9ktRxUVFYiJidHZ3qRJE3arERERkdszOzhKSUnBwoULUVVVpd5WWVmJ1NRUpKSk2LRyRERERI5m9my1d955B8OGDUOzZs1wxx13QCKRICMjA35+fvjll1/sUUciIiIihzF7zBFQ31K0fv16/PnnnxAEAUlJSXj44Yfh7+9vjzq6HI45IiJnUigFHMwuRH5ZFZoE+6F7QgS8pBJnV4vI5Yn9/bYoz5G/vz+mTp1qceWIiMgyWzNzkbo5C7klt4Y2xIb6YeGoJAxLjnVizYgaD1HB0aZNm3DPPfdAJpNh06ZNRsuOHj3aJhUjIiJtWzNz8eT6o2jY3J9XUoUn1x/FB490YYBEZAOiutWkUiny8vLQpEkTSKWGx3BLJBIoFAqbVtAVsVuNiBxNoRRw17IdWi1GmiQA5KF+2DN3ALvYiAyw6VR+pVKJJk2aqP/f0D9PCIyIiJzhYHahwcAIAAQAuSVVOJhd6LhKETVSZk/l/+KLL1BdXa2zvaamBl988YVNKkVERNryywwHRpaUIyLDzA6OHn30UZSUlOhsLysrw6OPPmqTShERkbYmwX42LUdEhpkdHAmCAIlEtz/7ypUrCA0NtUmliIhIW/eECMSG+sHQaCIJ6metdU+IcGS1iBol0VP5O3fuDIlEAolEgoEDB8Lb+9auCoUC2dnZGDZsmF0qSUTk6bykEiwclYQn1x+FBNCasaYKmBaOSuJgbCIbEB0c3XvvvQCAjIwMDB06FEFBQerHfHx80LJlSzzwwAM2ryAREdUblhyLDx7popPnSM48R0Q2ZXaG7M8//xwPPvgg/Pw8t1+bU/mJyJmYIZvIMmJ/vy1aPsTTMTgiIiJyP3ZbPkShUGDlypX45ptvcOnSJdTU1Gg9XljIHBtERETkvsyerZaamooVK1Zg7NixKCkpwbPPPov7778fUqkUixYtskMViYiIiBzH7G611q1b491338WIESMQHByMjIwM9bb9+/fjyy+/tFddXQa71Yjcj2qcTl5pFQrKqlBcUQuJRIKU1pHo2SqSY3aIPIDdutXy8vLQoUMHAEBQUJA6IeTIkSOxYMECC6tLRGSaQilg//kb2HP2Ok5eK4Gftxfkob7oFB+Owps1+CO3BBU1CtQplSgur8HNGgWignxQpwCycktRXqO7xNHqnecQFiDD0vs7cLYXEQGwIDhq1qwZcnNz0bx5c7Rp0wbbtm1Dly5dcOjQIfj6+tqjjkRE2JqZi3kbT6K4olbnsfUHLhvc72x+ucljF1fU4on1R/EhV7UnIlgw5ui+++7Db7/9BgB4+umnsWDBAiQmJmLixImYMmWKzStIRLQ1MxdPrD+qNzCypdTNWVAoOYGXyNNZPZV///792LdvH9q0aYPRo0fbql4ujWOOiBxHoRTQe+lvyCvVXfDaHr6a2hMprSMd8lxE5Fh2G3PUUM+ePdGzZ09rD0NEpFf9IGrHBEYAV7UnIguDo9OnT2PVqlU4deoUJBIJ2rVrh1mzZuG2226zdf2IyMM5OljhqvZEZPaYo++++w7Jyck4cuQI7rjjDnTs2BFHjx5FcnIyvv32W3vUkYg8mCODFa5qT0SABS1HL7zwAubPn49XXnlFa/vChQsxd+5c/POf/7RZ5YiIuidEQB7i65CuNa5qT0SABS1HeXl5mDhxos72Rx55BHl5eTapFBGRipdUgkWj29v1OcIDZJzGT0RqZgdH/fr1w+7du3W279mzB3369LFJpcRYsmQJJBIJZs+erd4mCAIWLVqEuLg4+Pv7o1+/fvjjjz+09quursasWbMQFRWFwMBAjB49GleuXHFYvYnIfMOSY/HhI10QFiCz+liBPl54oEtTzOjXGjP7t8F/H++Bwy8PZmBERGqiutU2bdqk/v/Ro0dj7ty5OHLkiHqW2v79+/Htt98iNTXVPrVs4NChQ/j444/RsWNHre3Lly/HihUrsHbtWrRt2xavvfYaBg8ejNOnTyM4OBgAMHv2bGzevBkbNmxAZGQk5syZg5EjR+LIkSPw8vJySP2JyHzDkmMxOEluUYbs6GA/xEcEoFfrKC4VQkQmicpzJJWKa2CSSCRQKHTT89vSzZs30aVLF7z//vt47bXX0KlTJ7z99tsQBAFxcXGYPXs25s6dC6C+lSgmJgbLli3DtGnTUFJSgujoaKxbtw4PPvggAODatWuIj49HWloahg4dKqoOzHNERETkfsT+fouKepRKpah/9g6MAGDGjBkYMWIEBg0apLU9OzsbeXl5GDJkiHqbr68v+vbti3379gEAjhw5gtraWq0ycXFxSE5OVpfRp7q6GqWlpVr/iIiIqHEya8xRbW0t+vfvjzNnztirPkZt2LABR48exZIlS3QeUw0Gj4mJ0doeExOjfiwvLw8+Pj4IDw83WEafJUuWIDQ0VP0vPj7e2pdCRERELsqs4EgmkyEzMxMSieP76y9fvoynn34a69evh5+f4bwnDesmCILJ+poqM3/+fJSUlKj/Xb5seJFLIiIicm9mz1abOHEiPvvsM3vUxagjR44gPz8fXbt2hbe3N7y9vbFr1y68++678Pb2VrcYNWwBys/PVz8ml8tRU1ODoqIig2X08fX1RUhIiNY/IiIiapzMTgJZU1ODTz/9FNu3b0e3bt0QGBio9fiKFStsVjlNAwcOxMmTJ7W2Pfroo2jXrh3mzp2LVq1aQS6XY/v27ejcubO6rrt27cKyZcsAAF27doVMJsP27dsxduxYAEBubi4yMzOxfPlyu9SbiIiI3IvZwVFmZia6dOkCADpjj+zZ3RYcHIzk5GStbYGBgYiMjFRvnz17NhYvXozExEQkJiZi8eLFCAgIwPjx4wEAoaGheOyxxzBnzhxERkYiIiICzz33HDp06KAzwJuIiIg8k9nB0c6dO+1RD5t44YUXUFlZienTp6OoqAg9evTAtm3b1DmOAGDlypXw9vbG2LFjUVlZiYEDB2Lt2rXMcUREREQAROY5Im3Mc0REROR+xP5+m91y1L9/f6PdZzt27DD3kEREREQuw+zgqFOnTlp/19bWIiMjA5mZmZg0aZKt6kVERETkFGYHRytXrtS7fdGiRbh586bVFSIiIiJyJrPzHBnyyCOP4D//+Y+tDkdERETkFGa3HBmSnp5uNHM1ERFZTqEUcDC7EPllVWgS7IfuCRHwkjp+tQIiT2B2cHT//fdr/S0IAnJzc3H48GEsWLDAZhUjIqJ6WzNzkbo5C7klVeptsaF+WDgqCcOSY51YM6LGyezgKCQkRGu2mlQqxW233YZXXnlFa7V7IiKy3tbMXDy5/iga5lzJK6nCk+uP4oNHujBAIrIxs4OjtWvX2qEaRETUkEIpIHVzlk5gBAACAAmA1M1ZGJwkZxcbkQ2ZPSC7VatWuHHjhs724uJitGrVyiaVIiIi4GB2oVZXWkMCgNySKhzMLnRcpYg8gNnBUU5ODhQKhc726upqXL161SaVIiIiIL/McGBkSTkiEkd0t9qmTZvU///LL78gNDRU/bdCocBvv/2Gli1b2rRyRESerEmwuBnAYsuRbXDmYOMnOji699571f/fMBO2TCZDy5Yt8dZbb9msYkREnq57QgRiQ/2QV1Kld9yRBIA8tP7HmRyDMwc9g+huNaVSCaVSiRYtWuD69evqv5VKJaqrq3H69GmMHDnSnnUlIvIoXlIJFo5KAlAfCGlS/b1wVBJbLRxENXOw4Tgw1czBrZm5TqoZ2ZpZY45qa2vRsmVLvQOyiYjI9oYlx+KDR7pAHqrddSYP9eM0fgcyNXMQqJ85qFDqK0Huxqyp/DKZDJmZmVp5joiIyL6GJcdicJKc41ycyJyZgymtIx1XMbILs2erTZw4EZ999pk96kJERAZ4SSVIaR2JMZ2aIqV1JAMjB+PMQc9idhLImpoafPrpp9i+fTu6deuGwMBArcdXrFhhs8oRERG5As4c9CxmB0eZmZno0qULAODMmTNaj7G7jYiIGiPOHPQsZgdHO3futEc9iIiIXJZq5uCT649CAmgFSJw52PiYPeZI5dy5c/jll19QWVkJABAEjtAnIqLGizMHPYfZLUc3btzA2LFjsXPnTkgkEpw9exatWrXC448/jrCwMCaCJCKiRoszBz2D2S1HzzzzDGQyGS5duoSAgAD19gcffBBbt261aeWIiIhcDWcONn5mtxxt27YNv/zyC5o1a6a1PTExERcvXrRZxYiIiIicweyWo/Lycq0WI5WCggL4+vrapFJEREREzmJ2cHT33Xfjiy++UP8tkUigVCrxxhtvoH///jatHBEREZGjmd2t9sYbb6Bfv344fPgwampq8MILL+CPP/5AYWEh9u7da486EhERETmM2S1HSUlJOHHiBLp3747BgwejvLwc999/P44dO4bWrVvbo45EREREDmNWy9HFixexbds21NbWYuzYsUhNTbVXvYiIiIicQnRw9Pvvv2P48OGoqKio39HbG59//jkeeughu1WOiIiIyNFEd6stWLAA/fv3x5UrV3Djxg1MmTIFL7zwgj3rRkRERORwEkHkuh8RERH4/fffkZycDKB+Sn9ISAgKCgoQHh5u10q6mtLSUoSGhqKkpAQhISHOrg4RERGJIPb3W3TLUXFxMZo0aaL+OzAwEAEBASguLraqokRERESuxKwB2VlZWcjLy1P/LQgCTp06hbKyMvW2jh072q52RERERA4multNKpVCIpFAX3HVdolEAoVCYfNKuhp2qxEREbkfsb/foluOsrOzbVIxIiIiIlcmOjhq0aKFPetBRERE5BLMzpBNRERE1JgxOCIiIiLSwOCIiIiISAODIyIiIiINZuU5AoABAwZg48aNCAsL09peWlqKe++9Fzt27LBV3YjIAIVSwMHsQuSXVaFJsB+6J0TASyrRKbP/wg2kn78BQEBKqyj0bB0JL6mk/rHzN5B+oQCCAIT6y1BcWQNAgvAAH0QG+qCoogYRgT6Qh/qja4twHLlYhGtFFci4UgxAgpaRAXjwzub4+tAlXCysQIuIAExIaQkfb6noOhIRuSLReY5UpFIp8vLytLJlA0B+fj6aNm2K2tpam1bQFTHPkWcw9OMu9ke/pk6Jdek5egMHa2zNzEXq5izkllSpt8WG+mHhqCQMS45Vl5m38SSKK7S/j2EBMjzYrRm+PnxF5zFjpBJAKeJKIZUAU/skoHPzcL11XDAiCaH+MqRfKAAgQUrrSPRsFcmgiYgcQuzvt+jg6MSJEwCATp06YceOHYiIiFA/plAosHXrVnz00UfIycmxruZugMGR67E2kGlYrqi8Gq9uOaXz4z76jlhsOp5rNDABgCVpWfhkd7ZWQKEKHOYPT7L4dW7NzMWT64+i4ZdW9Yo+eKQLAOCJ9Uctfg5HCwuQYen9HbTePzJPw8+vqqVP8+9D2YUMSsnj2Tw4UmXIBqA3S7a/vz9WrVqFKVOmWFhl98HgyP7M6ZIx1JIiNpDRt785NAOTYcmxWJKWhY9+N5w0ddrdlgVICqWAu5btMFhPCYCYEF8AEuSVWvZanOnDv98/Mo++z2/Dlj6JBGh42WZQSp7I5sHRxYsXIQgCWrVqhYMHDyI6Olr9mI+PD5o0aQIvLy/ra+4GPC04cvTYETHdRppl9bWkGNIwkDF3f2PHlYf6Ycecfmi/cKvRLiipBPjz1XvM7mJLP38DD32y37qKurDYUD/smTuArRlmsMXnl0EpeRKbLx+iypCtVCqtrx25DXMCFVs9n76LfV5JFZ5cf1Qd1AD1QVvq5iyzfhgE1AcyqZuzMKBdjNn7GztubkkVFqdlmRyboxSAdek5eKxPK7OeI7/M/VqDzJFbUoWD2YVIaR3p7Kq4BUs+//qkbs7C4CQ5g1IiDWbPVvviiy+MPj5x4kSLK0OuxZxAxRaMXew1gxrVhfxgdqFFXWGqQGZdeo7FXWmG5NyoEFXuYqG4cpqaBPuZvY+7aewBoC1Z+vlviEEpkS6zg6Onn35a6+/a2lpUVFTAx8cHAQEBDI4aCXMDFVswdbFXBTWqC7m1P6SWBCimtIwMwO6zpsu1iAgw+9jdEyIQG+qHvJIqvefF3cccAZ4RANqKLQNJBqVE2syeV1xUVKT17+bNmzh9+jTuuusufPXVV/aoIwBgyZIluPPOOxEcHIwmTZrg3nvvxenTp7XKCIKARYsWIS4uDv7+/ujXrx/++OMPrTLV1dWYNWsWoqKiEBgYiNGjR+PKlSt2q7e7MidQsRWxF2hVOWt/SC0JUAyRoL678cXhSTAVK0olwISUlmY/h5dUgoWjktTP1/D5AWDR6PZYNNry2XC2ZG7IHBtaP56NxLFlINnYg1KFUkD6+Rv44egVfLb7An44dhXp529AISY/BXkkm2TITkxMxNKlS3ValWxp165dmDFjBvbv34/t27ejrq4OQ4YMQXl5ubrM8uXLsWLFCqxevRqHDh2CXC7H4MGDUVZWpi4ze/Zs/PDDD9iwYQP27NmDmzdvYuTIkVAoFHaruzsyN1CxBbEXaFU5VUuKuT/CqkBmQkpLi/bXdzwAWDgqCf4+XpjaJ8Fo+eSmIRbnOxqWHIsPHukCeaj2eyUP9VN3cw5LjsWHj3RBWIBMZ/+wABmm3Z2g9zFjxDYOSiX1s/E+1FNHUxaOSuK4FzNY+vlvSBWUqgKInzIaV+CwNTMXdy3bgYc+2Y9nvjmOV7ecwjNfZ+ChT/bjrmU7sDUz19lVJBdkdhJIQ44dO4a+ffuitLTUFocz6fr162jSpAl27dqFu+++G4IgIC4uDrNnz8bcuXMB1LcSxcTEYNmyZZg2bRpKSkoQHR2NdevW4cEHHwQAXLt2DfHx8UhLS8PQoUNFPbcnzFYTOzPqq6k9bTZWQTVV3Vi3kbzBjCbVuCgAogamGpqtJnZ/ffQNUB+9ejdOXDH8XbB0Or+KO2bILiqvxos/ZuoknwwPkGEJp5RbxBaf3w//zo21aFOWVnesPMQPi0bbZ+KFo4iZzScBbD5+klyXzafyq2zatEnrb0EQkJubi9WrVyM+Ph4///yzZTU207lz55CYmIiTJ08iOTkZFy5cQOvWrXH06FF07txZXW7MmDEICwvD559/jh07dmDgwIEoLCxEeHi4uswdd9yBe++9F6mpqXqfq7q6GtXV1eq/S0tLER8f36iDI0sCFVswdLFvGNQ03MfWeY7kIb6oqlMazSIdFiDDew91UQccKjV1SrRb8LNdpvO7O82gjMkIbcPSPEeqoBQwnjTUXaf6m8oLpmKvaxm5JptP5Ve59957tf6WSCSIjo7GgAED8NZbb5ldUUsIgoBnn30Wd911F5KTkwEAeXl5AICYmBitsjExMbh48aK6jI+Pj1ZgpCqj2l+fJUuWGAycGivV+JYn1x+FBPoDFXt0g6i6jXSCFSPpA4Ylx2JwklxvS8oLw2432cKib3+lIODhTw8YrWtxRS2kUonO8dal59htOr+785JK0DsxCr0To5xdlUZD3+dXbIZsAOj62najx5/z7XGLJl44e209sbP5Gk70IAIsCI5cIc/RzJkzceLECezZs0fnMVUWbxVBEHS2NWSqzPz58/Hss8+q/1a1HDV2lgQqtnpeQ8GOIV5Sid4Lm6Htpsr9lHFVVF31jbkSOwvOHrPlyDPp+5w3/FtfULr3XIHJNfbKqxV46qujeO/hrqLr4+j8aPqYOx6SM/ZIk9nBkSZVj5yp4MOWZs2ahU2bNuH3339Hs2bN1NvlcjmA+tah2NhbX778/Hx1a5JcLkdNTQ2Kioq0Wo/y8/PRq1cvg8/p6+sLX19fW78Ut2BJoGILYoMaezF3cLgmsbPgbDlbjsgS9ePRTNtyMg+J289g1sBEk2sT5hRU4O1fzzgsP5oh5s7Aa+wz9sg8Fg14+Oyzz5CcnAw/Pz/4+fkhOTkZn376qa3rpkUQBMycORMbN27Ejh07kJCgPSMoISEBcrkc27ffaiKuqanBrl271IFP165dIZPJtMrk5uYiMzPTaHDk6VSByphOTZHS2jPGh5iaCaSa8aZv6vmElJZ2m85PZFvih5y+/dtZ9F76m87sLs3ZYE9vyMBKPYGR5jOlbs5yyEw41XfYFGPfZfJcZgdHCxYswNNPP41Ro0bh22+/xbfffotRo0bhmWeewcsvv2yPOgIAZsyYgfXr1+PLL79EcHAw8vLykJeXh8rKSgD1rVezZ8/G4sWL8cMPPyAzMxOTJ09GQEAAxo8fDwAIDQ3FY489hjlz5uC3337DsWPH8Mgjj6BDhw4YNGiQ3epO7kdMTiFDY658vKUmp/NP7ZPgcYOxyfWktDJv7FdeaTWeXH8UWzNzoVAKeOfXM3hi/VHRmbrtkR/NENV3WMytHNNIUENmz1aLiorCqlWr8NBDD2lt/+qrrzBr1iwUFBTYtIIqhrru1qxZg8mTJwOob11KTU3FRx99hKKiIvTo0QPvvfeeetA2AFRVVeH555/Hl19+icrKSgwcOBDvv/++WWOIPGEqP9WzZuzEkrQsfLI7W2twtlRSHxhZM42fyFYUSgF3pP6Cm9Xm5XkL9PGCj7cURSbGKxnyzrhOGNOpqUX7mkvfd1jF0eOgyPnsNpU/PDwcBw8eRGJiotb2M2fOoHv37iguLraowu6EwZFnsWbWTU2dEuvSc/TmASJyBWknrmH6l8cc+py2zI8mhuo7nFdSicLyGkQE+UIe4vgZdOR8dguOZs2aBZlMhhUrVmhtf+6551BZWYn33nvPshq7EQZHRNSYvL7lD3yyO8fuz8OcQo6l78YOgFNTLDib3fIcAfUDsrdt24aePXsCAPbv34/Lly9j4sSJWlPeGwZQRETkOlQ/nslNw9CleRiOXiq223PZMz8a6dLXnahaNkgzfQO7FvUzu+Wof//+4g4skWDHjh0WVcrVseWIiFxZZY0Ci9OykF1QDj+ZFK2bBMFLIkV4gA+iguu7lIrKq/HqllOiB1Nbiz/CjiNm2RQVY6sPNEZ261YjBkdE5FyaY2gKbtbgRlk1Tl4rQYCPF3JulONsfrnpgzjAM4MS0TIq0CO7b5xF7LIpmjypu9Nu3WpTpkzBO++8g+DgYK3t5eXlmDVrFv7zn/+YX1siItKiWjh4z9nrOHGlGJU1Cvj7eCPI1xsHcwotninmCPIQXywa3d4jWiJcjdhlUzSpUizsP38DUqnEY8cjaTK75cjLywu5ublo0qSJ1vaCggLI5XLU1dXZtIKuiC1HRGRPWzNzMW/jSZNLe7iiZwa1xcwBbTz2R9XZfsq4iqc3ZFi0b5i/DMWVjXs8ks1bjkpLSyEIAgRBQFlZGfz8bmUeVSgUSEtL0wmYiIjIPFszc/HE+qPOrobZIgJlWHxfh0b1Q+qOrFkGRTMwAhy/5IsrER0chYWFQSKRQCKRoG3btjqPSyQSj1u5nojIlhRKAYs2ZTm7GmaLDPRB+vyBzOHlAlTLpuSVVJmxOIx+AurHI6VuzsLgJLlHtQaKDo527twJQRAwYMAAfP/994iIuLUOjY+PD1q0aIG4uDi7VJKIyBMczC5EXqn7rA6v+ql8/b5kBkYWMifJrJiyXlIJFoy43WaJPTWXfHHmYuCOJjo46tu3LwAgOzsbzZs3N7icBxERWSa/zPUCIwmA4R3kiAnxw48Z11BYXqN+TN4Ix6TYU8Pgpqi8Bq9uEbc8kdiljLZm5uLVLaf0Pr++PEcNxxkZ4oqfTXsye7baxYsXcfHiRYOP33333VZViIjIU1kzXsQWYkP98M+uzXCpsAIVNXW4s2UkJvW6teTNSyOSPDq7sjWMrfGmSd84H0N5ixqWNZXfaPG9HTA0Wa51DpWCgIc/PWCy/s7+bDqa2cFRv379dLZptiIpFOYtYEhERPW6J0RAHuLnkK612FA/LBiRhPBAH9HBjpdU4lFdK7ZiTlLGhuN88Pf/69tXtS11cxYGtIsxWA5/H/PVLVkYlBSjtf3OlsbHKKlyIKmWHvEUZgdHRUVFWn/X1tbi2LFjWLBgAV5//XWbVYyIyNN4SSVYNDrJ6tlqEgC3xwYjItDHYIbsxtzqo8oRlX7+BgABKa2i0LN1pE1er7kLUSuUgtGgRR/NcT74+/+NyS2pwosbTxgtpzpmzyW/orBce7r+6Dti8fHv2ZAAWvX05CVfzA6OQkNDdbYNHjwYvr6+eOaZZ3DkyBGbVIyIyFPU1Cnx+b4cHMguQF5JNTo2DUZWbhnqlIb38fOW4qHu8YgLC9DKkN09QbsrzJWoM3uXVqHwZrV6vEtEkG7AphmERAT44M+8MlwuqkCLiABMSDH8+vTliFq98zzCAmRYer91qQbEjvvRZElSRpVfs/LQMT5MVNnvjl4VVU4zMALqu+Y+/j0b/7o7AZuO52rV1ZPHlFm08Kw+0dHROH36tK0OR0Rkd+a2AtjDkrQsfLw7G4bS8cq8JKhV3HowyNcLj9/VCrMGJrrN3bxCKWD1jnNYszfb6OBfVaABwOj4nNfTTmFqnwTMH56ktd1Yjqjiilo8sf4oPrQwZ4/YcT8NWTOQ+YeMqxhwe4zpglZQdeNtOp6LXc/3x5GLRRxTBguCoxMnTmj9LQgCcnNzsXTpUtxxxx02qxgRkT1Z0gpga0vSsvDR79lGy9QqBIzqKMegJLlb/mCZk+07t6RKVJeiUoD6fVMFSGJzRC3a9IfZOXuMdY2ZygVkzUDmwvJaQKj/XNpzgWBVl9uRi0UcU/Y3s9tdO3XqhM6dO6NTp07q/x8+fDhqamrw2Wef2aOOREQ2pWoFaPiDo2oF2JqZa/c61NQp8clu44GRypaTebgnORYpNho34yiqlhx7LYPyye5s1Pzd9yg2R1ReabV6LI9YprrGGo4R0qRKymjpWSsor1a3poll6XN52nR9Y8wOjrKzs3HhwgVkZ2cjOzsbFy9eREVFBfbt24d27drZo45ERDZjqhUAqG8FUCitzS9s3Lr0HIh9CqVQX96dqN5ne9J8X8z5YTc3CBBbXl85L6lEHdxYErTkFFRgWHIsnhmkuzKFPs8Magt5qHZrVWSgj6h9PW26vjFmd6u1aNHCHvUgInIIc1oB7NnFcLGwwq7lnc2agcjmUL0v5vywn/2rDOnnb4juohR7bEPlhiXH4oNHuojKc9TQhkOXMHNAG8wc0AZfHbyIvNJqveVUU+5VZTXH0nVtEY6+b+zkdH0zmNVyVFdXhzfeeANdunRBUFAQgoOD0aVLF7z55puorXW/1aOJyPNY0wpgSy0iAuxa3tkc1UWjel9UOaLEWL3zPB76ZD/uWrZDVBeqqa4xCerHBRkLLoYlx2LP3AH4ampPvDOuE54ZlCiqrqpAvT7NQ3tIoNsC1XDKvSof1ZhOTZHSOhI+3lKDrVeePF3fGNEtR5WVlRg8eDDS09MxaNAg3H333RAEAX/++Sfmzp2LTZs2Ydu2bfDzY7MckavQzPciCALCAmSICvZTT5sGoL7DDPOXYesfuci8WopQfxmm9mmFuxKjTV4wVc+x73wBrhZVIi7MDykJUZB6SZBfWoXrZdXIyi1FRY0CnZuHwksixZXiSrSICMCDdzbH14cu4WKh6SnatmJtK4CtTEhpaXCZh4Ykf5d3J47oopFKbr0vluSIErvqvKpr7Mn1R63KBdQwiWZpZS0+25tjsp6qQNNQC5SYKffW7OuJRAdHS5YsweXLl3Hs2DF07NhR67Hjx49j9OjRWLp0KRYtWmTrOhI1ejV1SqxLz0H2jXJIAHSOD0dsmL9ZM5MaTku/UVaNuT+cQHm1/qz1+tZZ0rTn3A34ekvxzrhOBi+chmYivf+/C3rLb8v6S+vvhsHBa1tOISk2GPd3aYYJKS3hJZXUD7QtqURheQ0ignzRJNgXdXVK/JBxFTer6wAIiAnxR6uoQPU++8/fwN5zBci4UoTrpdWQSIB28hD8s2s8erSONDr7xxW7GEZ0jHXJvEXGWLs6fMMgRJ+pfRK03pfBSXKM6BCDLSf/MrLXLeasOm8ouAgPlOG1MckWBReDkuSigiPNQHNYciwGJ8ktSkFhzb6eRiIIhrJraGvbti2WLFmCBx54QO/j3377LV566SWcOXPGphV0RaWlpQgNDUVJSQlCQkKcXR1yc0vSsvDJ7my9g3PFTi0Xu26TpfTlhjGWU8YWJBLAX+aFihrxSxJJAPh4S1FtJHtigI8XereJxPasfIPHMNWSYAuf7b4gquXIWwq88c9ObpnVWjUrEDAd6ADi8xxJJdDJc5R2IhfPfpuBqlojmTON+GpqT1FjzNJO5OLlnzK1FuC1NAWEQingrmU7TI4F2jN3gFudd1cm9vdbdHDk5+eHs2fPIj4+Xu/jly9fRmJiIqqqGv9UQAZHjuEKCfrsTUyeG1M/1uas22QpeYgf9s4boJW9uPfSHQ5ZA8zRpt2tm1zQHv79Uya+SDe8iLc+js7DZAv6AvcwfxkG3R6DlFYRNsmQLeZ7ZMrKsXegSYif0SVHDH3XVCUsCaoNBZDWHJMME/v7LbpbLSQkBPn5+QaDo7y8PAYKZDOukKDP3szJc2Oo2d+SdZsskVeqPXtLbE4Zd6PKFPzCsNvtHohbMsBa7BgZV2JpV07D8Tl92kYD+HuM2/kbSL9QAEACKQSrAyMAePGHk6jUaHVquOSINYkgjeFYINckOjjq378/Fi9ejO+//17v40uXLkW/fv1sVS/yYJam6Xc3YvPcGJta7qjp0oD27KPGmizOUdP4gfqBxK+nnRKd6wiw7kfYmRoGOpbampmLed+fNLoEiaUq9XTHaS45EurvY7cUEBwL5HpEB0cLFy5Ejx490LNnTzz77LPqhI9ZWVlYuXIlsrKysH//frtVlDyDve7OXJG5eWv0BSSODFI0B4U29mRxjnhffbylmNonwexWD0cGcK4k7UQupn9pvzFuxiza9AfmDhOX5NjSz46tAkiyDdHBUVJSErZv347HHnsM48aNg0RS/8MkCALatWuHX375Be3bt7dbRckzuEqCPkcwt1tFX0DiqCBFc+o/cCunTGPsWgMc976qxjYZGpBvjLu13hkbQ1hTp8Tn+3JwKKcQAT5eGNMxDucKytVjjKIDffDUN8edVve80mp8d+SKqLJRQb5IP3/D7i1AnjAm05nMypDds2dP/PHHH8jIyFDPSmvbti06depkj7qRB3KVBH2OILZbxdjUcmunS4u1aLR2DhdLcsq4A2dM458/PAlzhrTDuvQcXCysgFKpxPoDl03uFxXka9bzKJQC9p0rwMajV1Beo0DXFuFIkoegsLJG68dV9aObW1yJY5eLIABIiAzE+B4tkHG52OiPseYPdlSQLyDUf1f3nCvA1sw8lGvMPFSNITx2qQgf786G5tSgHzOumfXazCGTSlBrwdIwe8/fMFkmPECGOd9kaGWxtsdYSU8Yk+lsomer0S2crWY/6edv4KFPTHfPip126+psOVsNEDddWsVUniMAFuc5ckeuMjto79kCPPzZAZPl/vtYD/ROjNL7WMNWhaLyGjz/3XGt4KSh2FA/jL4jFpuO54oax9bwx9je6STcla0/V/aYMWdMY2uhsvlsNSJHMNUS4ooJ+qxhqltFzN2godkuUgm0jhnk64Wh7eW4KzHaZhmyVQNJrc2Q/f2xK8i6VqZ1bHvmOZrQs7lOEOCM2UH6fngKyvWvndWQoXJbM3OxaFOW2V2euSVVZo1/0pwgAcDu6STclS3HSjp6TKYnt1Cx5cgCbDmyL0/M+2GPDNldW4TjyMUit7njU70HmkuJ2CNDdq/EKK3uI2e9P4Z+eMbdGY+Vv541ub++1lN7J+ZsSAIgJsQXggD8VSYuqPNkDc+ZuZ9BR7asO7qFylFsngSSbmFwZH+efMdCjZ+xHx4B9V2eJRW1ZmVNVigFdH1te6Po4nQUMUuU2NI74zphTKemACy7xv2UcRVPb8gw63ksocrcbWqJHXfM3M1uNXJrzPtBjZWYrhEVcxY53XeugIGRGZ4Z1BYbDl1y6Bgp1SB6Q8FxbkkVnlh/FO+P74LhHXUDJEctmuxJs4YNEb2S4fLly1FZWan++/fff0d19a1m1LKyMkyfPt22tSOPpsr7MaZTU6Q0SONP5K7E/PAUV9RiWLIc4YE+Wo8F+3nj7rbR2HO2AK9tycTDn+zH1C8O4dmvj+Gxzw/aueaNR5i/DDMHtMGeuQPw38d7IMxf5pDnnfNNBtJOXDOZ1X7mV0eRdkJ3xp5qTKahK6EE9a1Plo7JVCgFpJ+/gZ8zc0WVbwyzhg0R3a3m5eWF3NxcNGnSBED9ciIZGRlo1aoVAOCvv/5CXFwcFArxgyfdFbvViMhSYrtGVCICZYgL88cfV0s54NlGnh7YBs8Mvk39t7UJJu3VPWdowWd7jMm0ZLahO84aFvv7LbrlqGEMxaFKRETmM7fLo7C8FpkMjGwqyFcGxd9TObdm5uLVLVlWHU8e6of3x3dRp8ewldTNWep6qqhmp8pDtT9H8lA/qwKjJ9cfFR0YWdtC5Q445oiIyIEclbiTDHs97RT+szcbo++Ixce/Z1t1HiICZdj1fH8cuVhk8zFfhsb12HJMprmLVxsb99aYMDgiInIgL6kEC0cl4cn1Rx0+W4puMTevkyGF5bXqlBn2YOi4tlqLzdzFq52RD8wZzAqOPv30UwQFBQEA6urqsHbtWkRF1WdoLSsrM7YrERH9zVDiTnJPqtYbe7D3On9ig7qJKS1wT3Ksx8waFh0cNW/eHJ988on6b7lcjnXr1umUISIi04Ylx2JAuxisS89B+vkC/PrndWdXiSyk6taKDfWzWbDrqNUAxAZf9yTHut3ga2uIDo5ycnLsWA0iosap4WKsSqWAA9mFuHC9DOkXbqCoos7ZVSQrhPl7QykI+L8T10RnNxdDgPa4HmPZtK3J9u5pSzaJZbMxR5cvX8bChQvxn//8x1aHJCJyC4aWbtmelYcfM66hsLzG2VUkOymurMPDn95aKFjMgs5iaM58M5RNe8GI23E2/ybW7M1BcWWt1mOqcUGmAidjY+A8ZfC1PjZbPuT48ePo0qUL8xwRUaPTsPUHQv3Cr6oV71/dYnzRX/IcqhDi7rZR2HWmwOrj/OvuBLNn1Gnu23CBZUNLlHjKkk0OX1uNwRG5A2cvNkruQfU5ySupxN5zBdh+Kh8llVyagxzP1oG2sWSRnnB95NpqRA14yp0RGaZQCth3rgAbj17BzWoFmoT4oEt8OOLCA9Q/BJZkCiayF1u3QKrW70vdnIUB7WLUaQhUwZAnDbo2hi1HFmDLkfsxtgo6YHnKfbJMTZ0S69JzkHOjHIJQv2aYl1SClFZR6GnlOno1dUp8vi8HB7NvoLymfrBzoI8MIX7e+DkzFxW1Sr37xYb62SQpIJG7iAj00RoPZ+3Noju0PNm8W+3+++83+nhxcTF27drF4IhcjkIp4K5lOwy2BKhmY+yZO8DlvsiN0ZK0LHyyO9vgHXFYgAxL7++AwUly7L9wA+nnb0AQBIT4e6O0qg7VdQrsOn0dN6vqEBvmhxl92+BmrQJRgb746uAlbDmZy+CGyALW3Cy6S8u8zYOjRx99VNQTr1mzRlwNnez999/HG2+8gdzcXLRv3x5vv/02+vTpI2pfBke2Yeldhrn7pZ+/gYc+2W/yuLZaRFHVKnKxsAItIgIwIaUlfLyl6rrvP38D6RcKANRnuL2zZYRO07bm69G3T5fm4fjywMVbLS/+3vCS3Gp5AYB95wrw/dErqKipQ9cWEWgnD8ahnCLU1NXhcE4RblYrEOTnhTviw3Am7yaqahWIC/dDclwYooJ8UVxRg7AAH/V/C25WI+taKa4WV8DXW4r2TUMQFeCHkupaSACtVh9VnXefy8eJyyWoqlPAX+aNm9W1OH6l1Or3mIjsw5KbRXdqmXf4gGx38vXXX2PChAl4//330bt3b3z00Uf49NNPkZWVJSqRpT2CI3dojrQlS+8yLNlP7Cro74zrhDGdmup9THOAbmF5DSKCfCEP0c018vSGY9hyQrvlQiIBHr8rAV1bhGPexpM6U3wbTp+tn6KbhPBAH/yalYevD1/GzWrxLbIyqQQCBNTp7z2yK19vKeLD/XG5sALVCo+7tBA1GmJvFt2tZZ7BkRE9evRAly5d8MEHH6i33X777bj33nuxZMkSk/vbOjhyl+ZIfSwJ6iy9y7B0P2tbjowN0FWdJwB49pvjqKhp/N3KROQYQb7euFltWZLQkR1jseVELgDL1u8zdrOoydEt89bibDUDampqcOTIEcybN09r+5AhQ7Bv3z6H18fQD35eSRWeXH/UpZojG7IkqDO2ArRqFsWiTX8g2E+GgpvV6oBLoRTw4g8nje6XujkLg5PkOsGZ2AywSqWAnzKuagV5hs6PSm5JFZ5Yf9TAo0RElrtZXQdfbymqzWwGjg31wzvjOmNkx1ida3REoAyF5abTUjQJ9hN18yt2bTZ7LcxrLx4XHBUUFEChUCAmJkZre0xMDPLy8vTuU11djerqavXfpaW2GTMhJlAw9IPvbJYGdaZWgBYA5JVW62ScrVMIRu+gBNQHKgezC3XuTkxlgBUAVNYq8PBnt55TlX321S2nOLiXiJzG3MBIglsZrYclx2Jwklwne3vfN3aavFksKq/R6S7Td/Mrdm02ey+ga2tSZ1fAWSQS7WBDEASdbSpLlixBaGio+l98fLxN6iAmUFD94LsSU0EdUB/UKfRMR7Lk7qG4olZ007Kh46tWQZeHan9BDaX6zyupwvQvjzHXDRGZ5Cdzzs1rw2eNDfXTuTH1ktZP4hjTqSlSWkfCx1uqHgrQcH/V36PviMWML4/qXP9UN79bM3PV21Qt84beAcnf9XK3tdk8LjiKioqCl5eXTitRfn6+TmuSyvz581FSUqL+d/nyZZvUxV2bI60J6ux992Ds+MOSY7Fn7gB8NbUn3hnXCf99vAd8vfV/BdhaRERiffRwN0QE+jj8eQUAC0bcjnfGdcJXU3tiz9wBooZhGLpZlIf64b3xnbHpuP50GPpuflUt84DhYMsd12bzuG41Hx8fdO3aFdu3b8d9992n3r59+3aMGTNG7z6+vr7w9fW1eV3ctTnSmqDO1PgfS4ldOVp1FwXUDyTMK602Wp6IyJTiqlosvi8ZT/49/tDaa1vD7n9jooJ9RQ2cbkhfl1v3hAizbn5V11JVsNVwfJPcTSYW6eNxwREAPPvss5gwYQK6deuGlJQUfPzxx7h06RKeeOIJh9ZD7EBhV2uOtCaoMzb+xxoCzL87cbUWOSJyDIkE6NA0BCevlsIW87WbBPshpXWk3gBBjIaZquWhfhh3Z3Os/PWMqOe2lObNooqlN7+Ggi13azFS8cjg6MEHH8SNGzfwyiuvIDc3F8nJyUhLS0OLFi0cWg9TA4UB12yOtDaoM3SXYY2wABkGJ8nN2sfVWuSI9JEC8PECahSAUmObVAr4ekkQE+yLphH+yMq9ibKqOvh6SdA0zB9l1XWoUwqIDJShRVQQsq6Vory6DhIICPGXoapOCUGQwF8mgbdEgtyyalTXKhHoK0WgjzcuFzunVXXAbVEorayDACAxJggRAb64UlyBTcdzTe77RN8ERAf5ISLIF02CfQEByL9ZjfzSKmRdK0FFrQIxwX7oHB+GuPAAdGgaite3ZOGbw5dhSVquhte6YcmxUCoFvPxTpqgZYar9dz3fXycRLABsOHTJ4TfP1t78usJ0fVvwyOAIAKZPn47p06c7uxpu2Rxpi6Cu4V1GVKAv5nx7HH+VWtbdVlxRq3emmjFF5dU2bb0izyRF/WfI31sCeagv/GQyVNTUISxAhkBfGTo0DUVkkC+ignzQJMSv/ge7rAoFN2tQVF6DayWViAvzQ0pCFJSCgB8yrqKiRoE7W0ZgUq9b2dUdSWzuGluLDfXDY3e1RkF5tVbLg0Ip4LdT+Sg3kEdMFSg8P/R2g9cdVeqR7SX5WH/gkno/S7//+q51WzNzMePLY6KOqbm/j7dU77XLGTfP7tqjYWsemQTSWsyQXc9QnqNxdzZHy6gArTsgMa9NlR4AsG/SMs3n4oefDPGWANHBvmgZGYDOzSPQOzEKPVtZtyiuu1AoBdz5+q9aXT2OEBYg05o5qpo6fuxSET76Pdvovh8ayQln7fdd36zWhtPaTWWKbkhsol9nJAk2dC12xeVAzMUM2XbEtdVu0QzqcgrK8dXBS1qDnMVcVDTpuxCIzRJrq3T35HmCfaV47K7WuDMhQiv5qCcEQoa8svkP/GdvjtXHUS0kDMBgV3p4gAxFFbrdUJrvvrEfKgmA06/do7eVzdLve7CfF1JHJSM2zF/UTZ7Y1raZ/dugd5sosz5fzrh5dueVG4xhhmxyCFUf89bMXLz961mdC1jD/EGA8USRhpKW3b18h8GZZeY285qajUGeIcTPGw90aYYh7eUeHwjpMzhJLio46to8DH4yKSICfCCVSgBIIJEATcP80av1rcWIVcc8mF2IvNIqFN6sRkRgfVfjnG8y9B5b7J27AGBdeg4e69NK5zFLv+9lVQrEhvlr3XAZu/kSO5A5MSbI7HE5zhjL09gGWJuLwRFZzVhSSH1U5Rb+lKmzTAig/+5s0ej2Rpt5G/a919QpsS49BxcLK9AiIgATUm6N3eAsNc8hD/HFuDubo04pQCkoER7gi6hg3UWDSZdq7ImpBUW/eaKX6PdR34+8rVJqXCys0Lvdmu+7Ofu6a2oWYxwdlCmUAvZfuIH08zcACEhppR1cOxKDI7KapXdmf5XV6CwTAmi3NoX5y/Bo7wTMHNBG9MD1JWlZ+GR3NjQTdL+edgpT+yRg/vAk5BTov4hS4xAZ6IMxneIwOIktQtbQnHgB2G9AsK1uVlpEBOjdbk0wYs6+HMhsna2ZuZi38aTW9X/1zvPqbllHd+UxOCKr2eripq8LrriyFit/PYM1+7Kx+N5kvPmPO5B+oQBA/R1NwwGyS9Ky9A7cVArAR79n40JBOX7NyrdJfcm5IgJlaBMdhBB/GWJCfNG1eYR6fAgDIttwxGxaW7SkSCXAhJSWeh+zNPGsuUteuGtqFlewNTPX4ALexRW1eGL9UaMD7u2BA7ItwAHZ2pw57VfzAl1Tp0S7BT9Dz5Ju5OYkAB7v0xID2sk9cvyDs9lzQLBqwLSxFpcAXy+UV+ufxg8A0+6ubxU2xJKZsJb+GDfWgcz2olAK6L10B/JKjd9ky0N8sXfeQKs/d5ytZkcMjrSZurjZS8NppZ/tvoBXt5xyYA3I1sIDZEiMDkKdUonqOiViw/zRIyECk3olOCXfDzmGmKnjxy4V6XSXSyVQd5eLeY6GQYu+PEfhATIssbIbxx1TsziLOTfXYmckG8PZauQw9loSxBQB9Re31M1ZGJwkNzggk5xrcFITZF4t1fpRCvT1Qt/EKDzUvQWkEolO0j/yLGK674Ylx2LOkHYGJ1qIeQ59M2EPZRca7aq3RGPKFG1v5gzLcORkGgZHZBP2WBJEDM1FEA0NyLSnAB8vVBjI2uvpgny9sfyBjhjeMZZ30mSSmKnjPt5SvdP1xdIXtPROjELvxCiLj0nWMWfMmSNn+jE4IpsxtCSIqb5kW8gvq8KElJZ4Pe2UyTFHtmjdCguQYfG9yQgN8MH6/Rex4898VNcpTe/o5mJD/bBgRBJC/WXYd74AV4sr67eH+SHMX4bSyjpIJLp34LyTJjH4OfE83RMiIA/xEzXmyJEz/RgckU01vLgtGp1kcBaCLTUJ9oOPtxRT+yQYXWZgcFIT/JqVb3GAFBYgw6O9EpDYJAivbnFsK5mjyKTA7bEhaBUdhPvuaApvmVRv1mjebRORterz2Jn+nVg0ur1DW5s5INsC7jAg25W6MdJO5GLGl6bXNZIA8Dezm0qVO2TP3AHq16cvz5HmwE19AzONGdVRjkFJckQF1a/y/eupPKzZd1F0HV1BkK8Xlt7XEeGBPki/UABBAMICfLQWQ+W4HyJyFn15jgDYPM8RZ6vZkasHR644lTTtxDVM//KY0TLvj++MocmxWL3jLNbszUFxpW7eI03GFkE0liEb0A0ei8prdFqCIgN98OqYZAzvGGt2QGUPgX9PZ9aXQ0UA0LdtNO5qE4m2TYJx8GIhrhVVIk7PEg5ERK7IERmyGRzZkT2CI1u19BhafdoVVlM2585ATPBi64DP0DmwdkVvW5Cg/twBuot3OjvwJSJyFwyO7MjWwZGtWnpMrT6trwvK0ay5M3BGV6GlK3rbUsPPgit1mRIRuRPmOXIThloljK1cb4ipNc40p707a0aIl1SC3m2i0LuN+YN5HTWTRTP4KCirtltgJJEAhm5NJAAGtIvG431a6wQ/nNFDRGRfDI6cyNhq9g0THIppGRCbIIur0hvmyLFFbz7QEcWVtbhYWIGmYf6QALhSXGl2cjsiIrItBkdOZOuWHrEJshyZSMudOHpsUVx4AB7oxhYgIiJXw1tTJ7J1S49q9WlDbUwSmL/StKcw1opnazwPRESujcGRE9m6pUe1xhkAnQBJ9ffCUUkcvKuHqVY8c0QG+mBgu2i9j/E8EBG5PnarOZGqpcfQavaq2WXmtDCIWcCRdFkzDis21A/j7myOllEBOikAeB6IiNwPgyMnMraavTUtDGIWcHQHjpyyLrZ1bsGI2xER6IPC8hpEBPlCHmK4Xo3lPBCR7Yi5rpl77dNXHgCvPVZgcORk9mrpcffp3o7O8i22FW9y7wSzLjDufh6IyHbEXNfMvfbpKx8WIAMArYS7TBZrHiaBtIArZ8huDJyV5Vv1vID+VjxnZhcnIvcm5roGwKxrnzkzbHkdq8cM2Xbk6muruTNnZ/k2dtfGLjIi0iT2plbsdU0QBOSVVhsto7r2WZK93xVWSXA2Zsgmt+TsLN+Gxgltz8rTuRCxmZo8lWZQEBXkCwj1kxoKblajuLIWEtR3J/dsVb80UMOFoMf3aIGMy8VudaPR8DUfzL6Bz/dd1FogW/OaYE6mfdV1zZiG1779F26YPcPWFVZJcBcMjsiluEKW74bjhGy5xAuRuxObRX71znMIC5Dhzpbh+O1UPpQaX6BXt5zSKuvqNxpiX7PqmvCvuxOw6XiuXTLt55dV1S/i/f1Jq45BxjHPEbkUV8ryrVAK2Hu2APO+P2lwiRegfokXhZK909T4qW4UxP7oF1fUYnuWdmCkjyqo2JqZa4Na2pY5r1n4+99Hv2fbbQmi7Vl/4cn1R7VarMzFVRJMY3BELsVVsnxvzczFXct24OHPDhi9CGk2UxM1ZvbMIu+qNxqOypyvuq7FBPuYLJt2Mtfi+jA7v3gMjsiluEKWb3PvjgE2U1PjZ8ss8vq4yo2GQikg/fwN/JRxFWv32q8FSEXzuja+RwuT5S2NHZmd3zwcc0Qux5lZvi29U2QzNTV2jroBcOaNRtqJa3j5p0wUllveZWUuzetadZ3SJscM9PGCzFuqleeI2fnNw+CIXJKzskube3dsyRIvRO7IUTcAzrrRWJKWhY9+z3bIcy0YcTuign11rmu2eu0fT+iGnq0jmXrECgyOyGU5I7u0OXetbKYmT2Iqi7y1nHmjkXYi1yGBkalM+2LeY6kEEAQYzeTfs3Uks/NbiWOOiDSYc+cmD/XjNH7yGMbGA1rLmTcaCqWAl3/KtMmxwgJkmHZ3AiSwbMykqTGXEgBT+yQYfNzU8Uk8thyRx9KX3VbMnVuYvwzvPdxFneCOyFMYGg9oSHiADN305DlqyJnjYQ5mF6KwvMaqY4QFyPBorwTMHNAGXlIJOjcPNzhmcnCSHOnnb6ivO11bhOPIxaL65JKBvgj2k+HR3i3xY8Y1rXppvkfGjs+bNdvg8iEW4PIh7s/YMiEAuMYakRGNKUP2TxlX8fSGDFFl/9GlGX499ZdWeo+IQBleG5OM4R3jtMrqu/nanpWnc92RSgzPQIsIlOG+Tk0xKEmu8x5xPU7LcG01O2Jw5N7ELgBpzsrYROSe0s/fwEOf7DdZLsjXC+XVCosXxDZnkVhzj03icW01Ij2MTdUXUH8xSt2chT1zB3ChWSIPoOpKN9VN6O0lhQCFznbN68bgJLnBhWctSREi5thkHxyQTR7FnIVtVbM9xnRqipTWHF9E1BipBkEb+3aP6ijXyhnUkKkEltYk0HSV5JiehsEReRRXWNiWiFyLaqB5bKj2bNXIQB+8P74LBiXJRR3H0HXDFtcTT7gmaWYnTz9/w6lLybBbjWzK1QcJutLCtkRkXwqlgP0XbmDvuQJcK65E0zB/9GoTpXemqbHEs+nnb4h6vqhAX73bbXE9aezXJGOTZJwx3orBEdmMq3249TE1VZ8Zr4kah62ZuZi38aROd9h7/zuPsAAZlt7fQee6ZChxotgEmHO+PY5Fo3Wvd9Yk0PSEa5Khwep5JVV4cv1RpwxIZ7ca2YShxVpVH+6tmblOqpk2V1jYlohsR19XzNbMXDyx/qjBcULFFbV4wozrktgEmH+V6r/eWZpA0xOuSaYmyQD1A9Id3cXGqfwW4FR+bQqlgLuW7TA44FB157Nn7gCX+YK7QysXERmn73ssD/FDVa1CKxeRIeEBMhx+ebDo69LWzFws2vQH8kqrDZYxdr3TV19jeY484ZokNpXCV1N72mQ5FE7lJ4cxZwaYq6z146yFbYnIfKqxQ/VjfwSktIpCSWUtZnyppyumVPzA5aKKWqzecRZPD2orqvyw5FgE+8nw8KcHDJYxdr3Td91pmCEbEqDgZrXHXJNcdZIMgyMySswAa1f9cJvChRldn6sP8Cf7UQVE6/dfxM4/81FVp1Q/tnrneUigf/FVc63Zm4OZAxJFf64KbhpuNdK099x1vZ9XfdcdT74OueokGQZHZJDYridX/XCTe1IoBew/fwPrD+Rg99kC3Ky+lXjPE7oZPJVmIHwuvwwf7TqPGt2ci2q2Gg9SXFmLg9mF6J4QISoQF3sdW73zPL4/epWfVxNcdZKMW4w5ysnJwauvvoodO3YgLy8PcXFxeOSRR/DSSy/Bx8dHXe7SpUuYMWMGduzYAX9/f4wfPx5vvvmmVpmTJ09i5syZOHjwICIiIjBt2jQsWLAAEon4u1FPGHMkZokN1RdeNebI1IfblcYcketQrbuVXVCOE1eKcSq3FLVK/WW5nELjo1AKWL3jHNbszRY1TsgepvRuiZ8z80SNQTR1vdPkzM+rvlZXAC7ZEqv6vQHsv55loxpz9Oeff0KpVOKjjz5CmzZtkJmZialTp6K8vBxvvvkmAEChUGDEiBGIjo7Gnj17cOPGDUyaNAmCIGDVqlUA6t+UwYMHo3///jh06BDOnDmDyZMnIzAwEHPmzHHmS3QpYpfYUKWzV83EeHL9UZ2mbk+YbUHmU124P9l9HjtPX4fYWzQup9C4GJpu72j/2Zujsy3XwDRyY9e7hpz1edXX6h8WIAMArffaVVpiVUk4dQbXO7F+btFypM8bb7yBDz74ABcuXAAA/Pzzzxg5ciQuX76MuLj61ZE3bNiAyZMnIz8/HyEhIfjggw8wf/58/PXXX/D1rU/WtXTpUqxatQpXrlwR3XrU2FuOLJ09wBlgZIjmgNoL18uQfuEGiirqrDqmrWaveBpVS93FwgrEhwegbZMgHLpYBNVA555/L5VjrOXhWlEFjl0uxl9lVQj08caYjnE4m38Thy4WoqKmDlFBvmgWEYCeCZGQSiTIv1mNwpvViAj0gTzUH11bhOOD/53Dyl/P2u11SiRAkI8UZdUGmiFFCvT1womFQ0XNPDPGUZ9Xcxa4dbWWWEeMMWxULUf6lJSUICLiVh9keno6kpOT1YERAAwdOhTV1dU4cuQI+vfvj/T0dPTt21cdGKnKzJ8/Hzk5OUhISHDoa3BVlg6w5gww0ndx256VZ5fWAVcb4O9q9J2L5VtP4ZPd2Qanjq/eWZ8g8cFuzbDpeK7JlgeVHzOu6T3eezvP691ubPq6rQgC8NTA2/B62imrjlNercDsDUexanxXre3DkmOhVALTvzwq6jiO+Lyau8Ctq7XEutIkGbcMjs6fP49Vq1bhrbfeUm/Ly8tDTEyMVrnw8HD4+PggLy9PXaZly5ZaZVT75OXlGQyOqqurUV19a4ZCaWmpLV6Gy7JmgLUrfbjJNlQDpNMvFACoP7/6ll8w1JRvry4TDvA3TN+5CPTxQrmxEc5/K66oxUe/Z+vdbiuOyud3uajCJsf5vxN5eGusEj7et/ImK5QCXvm/P0QfwxGfV0sWuHXFVCuuwKnB0aJFi5Cammq0zKFDh9CtWzf139euXcOwYcPwz3/+E48//rhWWX3dYoIgaG1vWEbVq2isS23JkiUm69mYuNLsAU7ltq+aOiU+35eDQzk3EODjjfs6NYW3t1SdZ6WovAYv/qjd6rN65zmd5RcMNeXbKzCKbeTLKVjD0LkQExg1Ni0iAmxyHAHAuvQcPNanlXrbwexCo8kgNUUG+jjk82pN6xRbYrU5NTiaOXMmxo0bZ7SMZkvPtWvX0L9/f6SkpODjjz/WKieXy3HggHZirqKiItTW1qpbh+RyuboVSSU/Px8AdFqdNM2fPx/PPvus+u/S0lLEx8cbrbc7c5UB1hzDZJhm0Bjh74M//yrD5aIKNAvzhwABV4ur0CIiABNSWmrd7WpakpaFj3dnaw2GNtQ90pBq+YUPH+mCwUlys5ryrSUBB/gbYm63SmOluoGbkNISn+7JNnqjB4hLC3CxULsVypxgYkynOId8Xq1pnWJLrDanBkdRUVGIiooSVfbq1avo378/unbtijVr1kAq1b7gp6Sk4PXXX0dubi5iY+t/OLdt2wZfX1907dpVXebFF19ETU2Nenr/tm3bEBcXp9PdpsnX11drnJIncPbsAVdciNDejLWSaT6WU1CBrw5eEpUJ+PW0U5jaJwHzhydpbV+SlqW368RcqZuzEOwrM7sp31LhATIs0bNgKNWzpFulsdG8gfPxlpq80euZEIH07EKTx23YCmVOMDE4Sa6zTUyruLkt55YscNuwJ4Ct9fXcYszRtWvX0K9fPzRv3hxvvvkmrl+/rn5MLq//0A0ZMgRJSUmYMGEC3njjDRQWFuK5557D1KlT1SPSx48fj9TUVEyePBkvvvgizp49i8WLF+Pf//63WXmOPIWzBlibm0rA3GPrez3WXBBscTEx1koGwKxZMZqUAtRBkCpAqqlT4pPd1gdGQP1YhfqxSPYV6OOFf93dyqxMxp7I07pG9A0Sjwj0waLR7RHq74Mfjl5BYXkNJvduiZ8yrqGwvEZdLtjPGw90bYYBbZtgf/ZBo8GEVAJMSGkJ4Nb3Pa+kEuEBMhSZ6DoO85dBqRTUC6cezC7Er1l5+CHjKgrLb+0rD/HFQ92bo2VU4N9d2tV4dcsps1rOzUkzAOj2BLC1/ha3mMq/du1aPProo3of06z+pUuXMH36dJ0kkJqtPidPnsSMGTNw8OBBhIeH44knnjA7OGrsU/mdzV4LERr64o++I1ZnZo7YC4ItLibGEm7a6ssplQB/vnoPfLyl+Gz3Bby6xboZPJpm9m+D1TvP2ex4mrrEh2LO0HZ6B4CTLrHfHVcW6u+Nu1pH4H+nC1CukQ00UCbFY3cloEerKBSUV6vXJXtv51l8ujtba0yVodlwln6npt1d3/qadiIXL/+UqRVkiWVstp9Yqvo/MygRLaMCDa7Fpu+6FB4ggwDDeY7MSfzrzsT+frtFcORqGBzZ108ZV/H0hgyT5d4Z1wljOjUVdUxzcn8A4i4ItriYqLLtOqIrZMGI2/FYn1b490+Z+CL9os2O+9/He+C5b4+b1ZTfULCfFzrFh8PPW4roEF+0jgoyOl6K9DMne7OrmtonAZ/uzjb5vXJEAkmJBPjX393StuqKtifNYMecDNmmrkONaZWDRp/niBovW6/VZskgVVPdd7bq+nPkGBHVgFJbzeAB6i/GPVtFGh3XIUD/NPIgX2+M7dYMg5PkHjuuwdZMTaYQYLr1xFCeI30tD/agLzACtL9XSiUw40vxNzuWCvH1wgvDbkfaiWsuHxgBumMy9bWs69tm6jrkidP9GRyRy7F1KgFLAxBjFwRbXUwcOUZEFRRNSGmJ19NO2STXjGqsgqkB/IOT5OoM2Q0zMZNtmToXA9rFiMqQ/cKw222aIfvoxUKs23/JZP1NLceRW1KFl3/KdEjLWEmVAqt+O4Mv9tuupdWeLB2TaWni38aMwRG5HFunErD2C61vf1tdTBw1fVZzQKmPtxRT+yRYdSesb9aYqQH8vdtEoXcbcbNTyTqmzoVmvh4A6Nuuic4xDCV0rd8WiQe6aacz6Z8Ug3+htcE6SSUQFRyJYcmYH0t9sicb5dXukyPKklYeW7fWNwYMjsgl2TKVgLVfaH372+piYsnUW0tM7ZOgNX5HNXOtYZ6jhmJD/bBgxO0I9fcxmSEbYIZ0V+Jq58Jdf1jdKTDSZM5NoSsl/nUVDI7IZdkqlYClAYixC4KtLiZixog0/H9zSCXQm+cIqA+Q5gxpZzRDtlbLTyJbfchy3RMiIA/xM5mfy9hnXQIgPFCmNQXeVUgkMHqj4WjmBKOukvjXlXC2mgU4W839qGaWAeKCDHNmqzU8piVTX83Nc6SZE8XSDNlEjrY1MxdPrDe+UOu0uxPw8d9dvvq+V++N74xXt5xy6Iy8YD9vlFXVGS1jaJado1kzs2xJWpbOwsTGbrDcEafy2xGDI/fkqnmOVMRmyPbkrLXk/gxNwddcr29rZi4WbcrSamWKCPRBj4QItI4OhFQiwbs77JNbyxLT7k5A5+bhRlML6JvtFxnogzGd4pBfVo0tJ3J1AqsAHymm3d0aLaMCkVNQgbd/PQPAeMsaYFlOImPpTiQWHtMVMTiyIwZHhrn6j7irZsgm96R57jUT8kUE+OCPqyXYfuovlFXVIjLIB9HBfmga7o8wfx8Ul9cgr7QK0cG+uFBwE5W1SrSICEDziABcLa4CIKBTszDIQ/2hFATsv3ADV4srIQ/xw83qOkACJEQG6rQMustnUaEUjM5eXJKWhY9/d34rjCkRgTK8NiYZUqnEaB61ZwYlYuaARAC6eYa2Z+WZbE37UCO3k7Fs+dbcmDHPkTYGRxZgcKQfU8+TJzH1Q+UIml0ejeX75+rJFiMCZVgwsj3kIbfGFFoaWCiUAnov/Q15pdVGnzNWY39DAbk1wbC9ViVwRUwCSQ7liQvFkucyN+O6vajWzrtQUI5fs/Ld/vtny3X/7KWwvBbyED91kJB+/obFOc8OZheaDIzQYH97zEJkniNdHKlJVjOVLRqoH1CssEXWQSInsyTjur1t1xMYAe73/VuXnmOT5KT2phkkWBNYmBNs2DMwYZ4jXQyOyGrmZIsmcneOXPLFFtzp+6da4sYeJvRsbrNjaQYJ1gQW5gQb9gxMVKlJDHXISVDftedJeY4YHJHV2CRLnsRdP8fuUG9brvunovphXzCyvagAQB7ia1aQYE1gUZ/7ydfka7B3YKLKcwRA53V4ap4jBkdkNTbJkidx18+xO9R7QkpL2PL3V/OH3cdbKioAWDS6vckymkGCNYGFl1Sifj5jHBGYqFYlkIdqf07koX5uM2bNljhbzQKcraZNNQ3UVLboxjANlMjU591ZDGWWdsb3r2FKga4twnHkYpF6hpVSEJB+oQDXiqvQNNwfvVpHqZekseVsNX2z9cTM6rNk5p81swUN5X7St4ahvblLOghLcSq/HTE40mXLbNFErs7cjOv2NjipCX7Nygfg/O+fviBBKoHJgdaaSSD1ZWo2JiJQhvs6NcWA22MAASgoNz61XUwAYEmQYG2+tP3nb4haw5Asx+DIjhgc6ddY8qwQicE8R7pskeJAlfCwpk6Jdek5uFhYgfhwf7SNCcahnCIAAnokREIqkZgMgogaYnBkRwyODGvsTbJEmpghW/u9MJYMUaxYdsGTHTE4siMGR0RE2sRmWRajMWRiJtck9vebs9WIiMhqtkwV4A5pB6hxY3BERERWs2WqAHdIO0CNG4MjIiKymqlkiGJ5WiZmck0MjoiIyGrGkiGaw9MyMZNrYnBEREQ2YSjLsphYJzxApp7GT+Rs3s6uABERNR7DkmMxOElucYZsIlfA4IiIiGzKSyrRmYrf8O8+baMdWSUis7BbjYiIiEgDgyMiIiIiDQyOiIiIiDQwOCIiIiLSwOCIiIiISAODIyIiIiINDI6IiIiINDA4IiIiItLA4IiIiIhIAzNkW0AQBABAaWmpk2tCREREYql+t1W/44YwOLJAWVkZACA+Pt7JNSEiIiJzlZWVITQ01ODjEsFU+EQ6lEolrl27huDgYEgk7r9QYmlpKeLj43H58mWEhIQ4uzr0N54X18Nz4pp4XlyTK54XQRBQVlaGuLg4SKWGRxax5cgCUqkUzZo1c3Y1bC4kJMRlPsB0C8+L6+E5cU08L67J1c6LsRYjFQ7IJiIiItLA4IiIiIhIA4Mjgq+vLxYuXAhfX19nV4U08Ly4Hp4T18Tz4prc+bxwQDYRERGRBrYcEREREWlgcERERESkgcERERERkQYGR0REREQaGBx5qKKiIkyYMAGhoaEIDQ3FhAkTUFxcLHr/adOmQSKR4O2337ZbHT2RueeltrYWc+fORYcOHRAYGIi4uDhMnDgR165dc1ylG5n3338fCQkJ8PPzQ9euXbF7926j5Xft2oWuXbvCz88PrVq1wocffuigmnoWc87Lxo0bMXjwYERHRyMkJAQpKSn45ZdfHFhbz2Dud0Vl79698Pb2RqdOnexbQSswOPJQ48ePR0ZGBrZu3YqtW7ciIyMDEyZMELXvjz/+iAMHDiAuLs7OtfQ85p6XiooKHD16FAsWLMDRo0exceNGnDlzBqNHj3ZgrRuPr7/+GrNnz8ZLL72EY8eOoU+fPrjnnntw6dIlveWzs7MxfPhw9OnTB8eOHcOLL76Ip556Ct9//72Da964mXtefv/9dwwePBhpaWk4cuQI+vfvj1GjRuHYsWMOrnnjZe45USkpKcHEiRMxcOBAB9XUQgJ5nKysLAGAsH//fvW29PR0AYDw559/Gt33ypUrQtOmTYXMzEyhRYsWwsqVK+1cW89hzXnRdPDgQQGAcPHiRXtUs1Hr3r278MQTT2hta9eunTBv3jy95V944QWhXbt2WtumTZsm9OzZ02519ETmnhd9kpKShNTUVFtXzWNZek4efPBB4eWXXxYWLlwo3HHHHXasoXXYcuSB0tPTERoaih49eqi39ezZE6Ghodi3b5/B/ZRKJSZMmIDnn38e7du3d0RVPYql56WhkpISSCQShIWF2aGWjVdNTQ2OHDmCIUOGaG0fMmSIwfc/PT1dp/zQoUNx+PBh1NbW2q2unsSS89KQUqlEWVkZIiIi7FFFj2PpOVmzZg3Onz+PhQsX2ruKVuPCsx4oLy8PTZo00dnepEkT5OXlGdxv2bJl8Pb2xlNPPWXP6nksS8+LpqqqKsybNw/jx493qYUe3UFBQQEUCgViYmK0tsfExBh8//Py8vSWr6urQ0FBAWJjY+1WX09hyXlp6K233kJ5eTnGjh1rjyp6HEvOydmzZzFv3jzs3r0b3t6uH3qw5agRWbRoESQSidF/hw8fBgBIJBKd/QVB0LsdAI4cOYJ33nkHa9euNViG9LPnedFUW1uLcePGQalU4v3337f56/AUDd9rU++/vvL6tpN1zD0vKl999RUWLVqEr7/+Wu/NB1lO7DlRKBQYP348UlNT0bZtW0dVzyquH76RaDNnzsS4ceOMlmnZsiVOnDiBv/76S+ex69ev69wJqOzevRv5+flo3ry5eptCocCcOXPw9ttvIycnx6q6N2b2PC8qtbW1GDt2LLKzs7Fjxw62GlkgKioKXl5eOne++fn5Bt9/uVyut7y3tzciIyPtVldPYsl5Ufn666/x2GOP4dtvv8WgQYPsWU2PYu45KSsrw+HDh3Hs2DHMnDkTQH1XpyAI8Pb2xrZt2zBgwACH1F0sBkeNSFRUFKKiokyWS0lJQUlJCQ4ePIju3bsDAA4cOICSkhL06tVL7z4TJkzQubgMHToUEyZMwKOPPmp95Rsxe54X4FZgdPbsWezcuZM/yhby8fFB165dsX37dtx3333q7du3b8eYMWP07pOSkoLNmzdrbdu2bRu6desGmUxm1/p6CkvOC1DfYjRlyhR89dVXGDFihCOq6jHMPSchISE4efKk1rb3338fO3bswHfffYeEhAS719lsThwMTk40bNgwoWPHjkJ6erqQnp4udOjQQRg5cqRWmdtuu03YuHGjwWNwtprtmXteamtrhdGjRwvNmjUTMjIyhNzcXPW/6upqZ7wEt7ZhwwZBJpMJn332mZCVlSXMnj1bCAwMFHJycgRBEIR58+YJEyZMUJe/cOGCEBAQIDzzzDNCVlaW8NlnnwkymUz47rvvnPUSGiVzz8uXX34peHt7C++9957Wd6K4uNhZL6HRMfecNOTqs9UYHHmoGzduCA8//LAQHBwsBAcHCw8//LBQVFSkVQaAsGbNGoPHYHBke+ael+zsbAGA3n87d+50eP0bg/fee09o0aKF4OPjI3Tp0kXYtWuX+rFJkyYJffv21Sr/v//9T+jcubPg4+MjtGzZUvjggw8cXGPPYM556du3r97vxKRJkxxf8UbM3O+KJlcPjiSC8PfoQSIiIiLibDUiIiIiTQyOiIiIiDQwOCIiIiLSwOCIiIiISAODIyIiIiINDI6IiIiINDA4IiIiItLA4IiIyMX069cPs2fPdrtjEzUWDI6IPMTkyZMhkUggkUjg7e2N5s2b48knn0RRUZFWuZYtW+Ltt9/W2X/RokXo1KmTwePn5ORAIpEgIyPDthUXwVCd9ZVTvQcBAQFITk7GRx99ZPXzu2LA8b///Q8SiQTFxcVa2zdu3IhXX33VOZUichMMjog8yLBhw5Cbm4ucnBx8+umn2Lx5M6ZPn+7sajnUK6+8gtzcXJw4cQL33nsvnnjiCXz99dcWHau2ttamdbP18fSJiIhAcHCw3Z+HyJ0xOCLyIL6+vpDL5WjWrBmGDBmCBx98ENu2bbPLc6laLn777Td069YNAQEB6NWrF06fPq0uo2qN+uijjxAfH4+AgAD885//1Grt0Ncqc++992Ly5Mnqxy9evIhnnnlG3SpkTHBwMORyOdq0aYPXXnsNiYmJ+PHHHwEAJSUl+Ne//oUmTZogJCQEAwYMwPHjx3Xq+5///AetWrWCr68vJk2ahF27duGdd95RP39OTg7Wrl2LsLAwref+8ccfteqn73iqFZ3q6uowc+ZMhIWFITIyEi+//DI0V3tav349unXrpn4948ePR35+PoD6Vrz+/fsDAMLDwyGRSLTeL833s6ioCBMnTkR4eDgCAgJwzz334OzZs+rHVa/jl19+we23346goCB1kE3UWDE4IvJQFy5cwNatWyGTyez6PC+99BLeeustHD58GN7e3pgyZYrW4+fOncM333yDzZs3Y+vWrcjIyMCMGTNEH3/jxo1o1qyZukXI3B9tPz8/1NbWQhAEjBgxAnl5eUhLS8ORI0fQpUsXDBw4EIWFhTr1/f7775GRkYF3330XKSkpmDp1qvr54+PjRT9/w+OpfP755/D29saBAwfw7rvvYuXKlfj000/Vj9fU1ODVV1/F8ePH8eOPPyI7O1sdAMXHx+P7778HAJw+fRq5ubl455139D7/5MmTcfjwYWzatAnp6ekQBAHDhw/XasWqqKjAm2++iXXr1uH333/HpUuX8Nxzz4l+jUTuxtvZFSAix/m///s/BAUFQaFQoKqqCgCwYsUKnXJz587Fyy+/rLWtpqYGSUlJZj/n66+/jr59+wIA5s2bhxEjRqCqqgp+fn4AgKqqKnz++edo1qwZAGDVqlUYMWIE3nrrLcjlcpPHj4iIgJeXl7oFRay6ujqsX78eJ0+exJNPPomdO3fi5MmTyM/Ph6+vLwDgzTffxI8//ojvvvsO//rXvwDUvw/r1q1DdHS0+lg+Pj4ICAgw6/lV9B0PqA9wVq5cCYlEgttuuw0nT57EypUrMXXqVADQCjJbtWqFd999F927d8fNmzcRFBSEiIgIAECTJk10WrBUzp49i02bNmHv3r3o1asXAOC///0v4uPj8eOPP+Kf//wngPruvg8//BCtW7cGAMycOROvvPKK2a+VyF2w5YjIg/Tv3x8ZGRk4cOAAZs2ahaFDh2LWrFk65Z5//nlkZGRo/XviiScses6OHTuq/z82NhYA1N0/ANC8eXN1YAQAKSkpUCqVWt1vtjR37lwEBQXB398fM2bMwPPPP49p06bhyJEjuHnzJiIjIxEUFKT+l52djfPnz6v3b9GihU4gYw1Dx+vZs6dWF1xKSgrOnj0LhUIBADh27BjGjBmDFi1aIDg4GP369QMAXLp0SfRznzp1Ct7e3ujRo4d6W2RkJG677TacOnVKvS0gIEAdGAH151HzHBI1Nmw5IvIggYGBaNOmDQDg3XffRf/+/ZGamqozeykqKkpdTkXVEmEuzW471Y+9Uqk0WF5VRvVfqVSqNdYGsG7g8vPPP4/JkycjICAAsbGxWnWKjY3F//73P519NFteAgMDRT2P2HqLPZ6m8vJyDBkyBEOGDMH69esRHR2NS5cuYejQoaipqRF9nIb109yuGZg17HqVSCQG9yVqDNhyROTBFi5ciDfffBPXrl1zWh0uXbqk9fzp6emQSqVo27YtACA6OlprHJFCoUBmZqbWMXx8fNQtKqaoAr+4uDitAKBLly7Iy8uDt7c32rRpo/UvKirK6DH1PX90dDTKyspQXl6u3mZOmoP9+/fr/J2YmAgvLy/8+eefKCgowNKlS9GnTx+0a9dOpyXHx8cHAIy+L0lJSairq8OBAwfU227cuIEzZ87g9ttvF11XosaGwRGRB+vXrx/at2+PxYsXO60Ofn5+mDRpEo4fP47du3fjqaeewtixY9XjdwYMGIAtW7Zgy5Yt+PPPPzF9+nSd3D0tW7bE77//jqtXr6KgoMCiegwaNAgpKSm499578csvvyAnJwf79u3Dyy+/jMOHDxvdt2XLljhw4ABycnJQUFAApVKJHj16ICAgAC+++CLOnTuHL7/8EmvXrhVdn8uXL+PZZ5/F6dOn8dVXX2HVqlV4+umnAdR3Rfr4+GDVqlW4cOECNm3apNP616JFC0gkEvzf//0frl+/jps3b+o8R2JiIsaMGYOpU6diz549OH78OB555BE0bdoUY8aMEV1XosaGwRGRh3v22WfxySef4PLly055/jZt2uD+++/H8OHDMWTIECQnJ+P9999XPz5lyhRMmjQJEydORN++fZGQkKCepq7yyiuvICcnB61bt7Z4PJBEIkFaWhruvvtuTJkyBW3btsW4ceOQk5ODmJgYo/s+99xz8PLyQlJSkrqLKyIiAuvXr0daWho6dOiAr776CosWLRJdn4kTJ6KyshLdu3fHjBkzMGvWLPWg8OjoaKxduxbffvstkpKSsHTpUrz55pta+zdt2hSpqamYN28eYmJiMHPmTL3Ps2bNGnTt2hUjR45ESkoKBEFAWlqa3WcxErkyicCOYyJykkWLFuHHH390SlZtIiJD2HJEREREpIHBEREREZEGdqsRERERaWDLEREREZEGBkdEREREGhgcEREREWlgcERERESkgcERERERkQYGR0REREQaGBwRERERaWBwRERERKSBwRERERGRhv8HJV0m+6VlJCAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input variable: Rg\n",
      "output variable: LE\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.271\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m203.658\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-37.878\u001b[0m mean: \u001b[36m65.886\u001b[0m max: \u001b[36m193.491\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m280.922\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.248\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m47.185\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.015\u001b[0m mean: \u001b[36m0.317\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-38.084\u001b[0m mean: \u001b[36m65.586\u001b[0m max: \u001b[36m191.812\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m290.233\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.945\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m37.365\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.323\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-38.222\u001b[0m mean: \u001b[36m65.688\u001b[0m max: \u001b[36m190.479\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m295.101\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.331\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m11.9\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-38.314\u001b[0m mean: \u001b[36m66.052\u001b[0m max: \u001b[36m189.468\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m298.069\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.806\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m9.753\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.016\u001b[0m mean: \u001b[36m0.321\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-38.378\u001b[0m mean: \u001b[36m66.180\u001b[0m max: \u001b[36m188.676\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m299.052\u001b[0m max: \u001b[36m617.754\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.357\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m212.909\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.318\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-38.426\u001b[0m mean: \u001b[36m66.363\u001b[0m max: \u001b[36m188.040\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.289\u001b[0m max: \u001b[36m622.454\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.06\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.315\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-38.462\u001b[0m mean: \u001b[36m66.569\u001b[0m max: \u001b[36m187.518\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.017\u001b[0m max: \u001b[36m629.347\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.785\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m207.504\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.302\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-38.491\u001b[0m mean: \u001b[36m66.100\u001b[0m max: \u001b[36m187.082\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.039\u001b[0m max: \u001b[36m635.259\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.44\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m7.685\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.325\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-38.514\u001b[0m mean: \u001b[36m64.272\u001b[0m max: \u001b[36m186.714\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m294.834\u001b[0m max: \u001b[36m640.386\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.768\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m18.59\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-38.533\u001b[0m mean: \u001b[36m64.214\u001b[0m max: \u001b[36m186.399\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m296.154\u001b[0m max: \u001b[36m644.873\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.255\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m115.78\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.326\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-38.548\u001b[0m mean: \u001b[36m64.164\u001b[0m max: \u001b[36m186.127\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.100\u001b[0m max: \u001b[36m648.833\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.549\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.52\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.313\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-38.561\u001b[0m mean: \u001b[36m63.467\u001b[0m max: \u001b[36m185.890\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.453\u001b[0m max: \u001b[36m652.353\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.464\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m3.149\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-38.572\u001b[0m mean: \u001b[36m63.157\u001b[0m max: \u001b[36m185.681\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.613\u001b[0m max: \u001b[36m655.502\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.563\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.834\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.303\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-38.581\u001b[0m mean: \u001b[36m63.125\u001b[0m max: \u001b[36m185.500\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.814\u001b[0m max: \u001b[36m658.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.497\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.563\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-38.589\u001b[0m mean: \u001b[36m63.097\u001b[0m max: \u001b[36m185.346\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.951\u001b[0m max: \u001b[36m660.898\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.555\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.329\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-38.595\u001b[0m mean: \u001b[36m63.072\u001b[0m max: \u001b[36m185.213\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.107\u001b[0m max: \u001b[36m663.227\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.518\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m2.125\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-38.600\u001b[0m mean: \u001b[36m63.049\u001b[0m max: \u001b[36m185.098\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.221\u001b[0m max: \u001b[36m665.352\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m7.552\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.947\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.017\u001b[0m mean: \u001b[36m0.304\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-38.605\u001b[0m mean: \u001b[36m63.029\u001b[0m max: \u001b[36m184.997\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m293.311\u001b[0m max: \u001b[36m667.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] max LE change \u001b[36m1.947\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m18\u001b[0m iterations\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m2.033\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m1\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m263.921\u001b[0m (0.00 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_1\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.306\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_1\u001b[0m min: \u001b[31m-91.721\u001b[0m mean: \u001b[36m68.634\u001b[0m max: \u001b[36m388.610\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_1\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m292.214\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.271\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m2\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m91.421\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_2\u001b[0m min: \u001b[36m0.014\u001b[0m mean: \u001b[36m0.298\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_2\u001b[0m min: \u001b[31m-92.221\u001b[0m mean: \u001b[36m68.518\u001b[0m max: \u001b[36m386.137\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_2\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m301.855\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m4.155\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m3\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m64.743\u001b[0m (0.01 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_3\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.300\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_3\u001b[0m min: \u001b[31m-92.554\u001b[0m mean: \u001b[36m68.658\u001b[0m max: \u001b[36m384.303\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_3\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m307.007\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.728\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m4\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m29.43\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_4\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.292\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_4\u001b[0m min: \u001b[31m-92.776\u001b[0m mean: \u001b[36m68.793\u001b[0m max: \u001b[36m383.108\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_4\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m310.209\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m3.408\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m5\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m330.835\u001b[0m (0.02 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_5\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.296\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_5\u001b[0m min: \u001b[31m-92.933\u001b[0m mean: \u001b[36m68.967\u001b[0m max: \u001b[36m382.300\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_5\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m310.783\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.473\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m6\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m402.557\u001b[0m (0.03 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_6\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.286\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_6\u001b[0m min: \u001b[31m-119.147\u001b[0m mean: \u001b[36m69.076\u001b[0m max: \u001b[36m381.742\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_6\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m306.615\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.134\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m7\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m480.782\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_7\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.288\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_7\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m69.124\u001b[0m max: \u001b[36m381.348\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_7\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m313.865\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m-0.882\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m8\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m480.782\u001b[0m (0.04 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_8\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.270\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_8\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m68.657\u001b[0m max: \u001b[36m381.068\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_8\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.508\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.423\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m9\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m178.072\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_9\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.297\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_9\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m66.388\u001b[0m max: \u001b[36m380.867\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_9\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m306.004\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.932\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m10\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m141.456\u001b[0m (0.05 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_10\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.285\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_10\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m66.221\u001b[0m max: \u001b[36m380.722\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_10\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.794\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.902\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m11\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m129.751\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_11\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.284\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_11\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m66.247\u001b[0m max: \u001b[36m380.616\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_11\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.778\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.968\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m12\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m114.117\u001b[0m (0.06 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_12\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.275\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_12\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m66.124\u001b[0m max: \u001b[36m380.540\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_12\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.896\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.917\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m13\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m97.681\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_13\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.281\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_13\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m66.033\u001b[0m max: \u001b[36m380.484\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_13\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.000\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.002\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m14\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m89.713\u001b[0m (0.07 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_14\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.274\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_14\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.976\u001b[0m max: \u001b[36m380.443\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_14\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.158\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.965\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m15\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m81.807\u001b[0m (0.08 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_15\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.281\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_15\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.924\u001b[0m max: \u001b[36m380.413\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_15\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.159\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.031\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m16\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m75.763\u001b[0m (0.09 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_16\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.273\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_16\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.862\u001b[0m max: \u001b[36m380.391\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_16\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.300\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.022\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m17\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m69.096\u001b[0m (0.10 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_17\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.280\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mG_17\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.817\u001b[0m max: \u001b[36m380.375\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mLE_17\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.383\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] running STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.09\u001b[0m\n",
      "[2024-01-09 14:11:33 INFO] completed STIC iteration \u001b[36m18\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m6.284\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:33 INFO] variable \u001b[33mSM_18\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.273\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_18\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.774\u001b[0m max: \u001b[36m380.363\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_18\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.485\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m8.993\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m19\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m316.045\u001b[0m (0.11 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_19\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.280\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_19\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.735\u001b[0m max: \u001b[36m380.355\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_19\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m305.343\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.196\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m20\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m327.53\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_20\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.273\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_20\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.678\u001b[0m max: \u001b[36m380.348\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_20\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m304.024\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.938\u001b[0m\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n",
      "/Users/halverso/Projects/ET-Sensitivity/STIC/closure.py:53: RuntimeWarning: divide by zero encountered in divide\n",
      "  dT = (2 * delta_hPa * Es_hPa - 2 * delta_hPa * Ea_hPa - 2 * Ea_hPa * gamma_hPa + Es_hPa * gamma_hPa + Estar_hPa * gamma_hPa - SM * Es_hPa * gamma_hPa + SM * Estar_hPa * gamma_hPa + 2 * alpha * delta_hPa * Ea_hPa - 2 * alpha * delta_hPa * Es_hPa) / (2 * alpha * delta_hPa * gamma_hPa)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m21\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m337.42\u001b[0m (0.12 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_21\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.280\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_21\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.620\u001b[0m max: \u001b[36m380.344\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_21\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m303.103\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.996\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m22\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m340.454\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_22\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.274\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_22\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.555\u001b[0m max: \u001b[36m380.340\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_22\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m303.036\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.003\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m23\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m287.173\u001b[0m (0.13 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_23\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.282\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_23\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.488\u001b[0m max: \u001b[36m380.338\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_23\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.860\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.994\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m24\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m347.068\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_24\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.277\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_24\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.450\u001b[0m max: \u001b[36m380.336\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_24\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.789\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.033\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m25\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m46.042\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_25\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.285\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_25\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.432\u001b[0m max: \u001b[36m380.335\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_25\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.818\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m5.865\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m26\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m352.112\u001b[0m (0.14 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_26\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.278\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_26\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.408\u001b[0m max: \u001b[36m380.334\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_26\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.514\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.016\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m27\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m20.396\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_27\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.285\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_27\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.389\u001b[0m max: \u001b[36m380.333\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_27\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.547\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.032\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m28\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m42.503\u001b[0m (0.15 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_28\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.277\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_28\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.373\u001b[0m max: \u001b[36m380.333\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_28\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.577\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] running STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] using variable Priestley-Taylor alpha with mean: \u001b[36m6.049\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] completed STIC iteration \u001b[36m29\u001b[0m / \u001b[36m30\u001b[0m with max LE change: \u001b[36m1.695\u001b[0m (0.16 seconds)\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mSM_29\u001b[0m min: \u001b[36m0.002\u001b[0m mean: \u001b[36m0.283\u001b[0m max: \u001b[36m1.000\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mG_29\u001b[0m min: \u001b[31m-129.142\u001b[0m mean: \u001b[36m65.365\u001b[0m max: \u001b[36m380.332\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] variable \u001b[33mLE_29\u001b[0m min: \u001b[36m0.000\u001b[0m mean: \u001b[36m302.613\u001b[0m max: \u001b[36m1398.806\u001b[0m nan: \u001b[36m0.00%\u001b[0m\n",
      "[2024-01-09 14:11:34 INFO] max LE change \u001b[36m1.695\u001b[0m within convergence target \u001b[36m2.0\u001b[0m with \u001b[36m29\u001b[0m iterations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tower</th>\n",
       "      <th>time_solar</th>\n",
       "      <th>LST_unperturbed</th>\n",
       "      <th>LST_perturbation</th>\n",
       "      <th>LST_perturbation_std</th>\n",
       "      <th>LST_perturbed</th>\n",
       "      <th>LE_unperturbed</th>\n",
       "      <th>LE_perturbation</th>\n",
       "      <th>LE_perturbation_std</th>\n",
       "      <th>LE_perturbed</th>\n",
       "      <th>...</th>\n",
       "      <th>Ta_C_perturbation_std</th>\n",
       "      <th>Ta_C_perturbed</th>\n",
       "      <th>RH_unperturbed</th>\n",
       "      <th>RH_perturbation</th>\n",
       "      <th>RH_perturbation_std</th>\n",
       "      <th>RH_perturbed</th>\n",
       "      <th>Rg_unperturbed</th>\n",
       "      <th>Rg_perturbation</th>\n",
       "      <th>Rg_perturbation_std</th>\n",
       "      <th>Rg_perturbed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-19.137200</td>\n",
       "      <td>-2.295963</td>\n",
       "      <td>286.1628</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.363549</td>\n",
       "      <td>0.033137</td>\n",
       "      <td>7.363549</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-20.100831</td>\n",
       "      <td>-2.411573</td>\n",
       "      <td>285.199169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.797068</td>\n",
       "      <td>0.044088</td>\n",
       "      <td>9.797068</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>05:59.3</td>\n",
       "      <td>305.3</td>\n",
       "      <td>-15.482121</td>\n",
       "      <td>-1.857449</td>\n",
       "      <td>289.817879</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.486898</td>\n",
       "      <td>0.002191</td>\n",
       "      <td>0.486898</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>39:24.3</td>\n",
       "      <td>272.82</td>\n",
       "      <td>-1.524803</td>\n",
       "      <td>-0.182936</td>\n",
       "      <td>271.295197</td>\n",
       "      <td>258.678007</td>\n",
       "      <td>2.515594</td>\n",
       "      <td>0.011321</td>\n",
       "      <td>261.193601</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>39:24.3</td>\n",
       "      <td>272.82</td>\n",
       "      <td>-5.690581</td>\n",
       "      <td>-0.682721</td>\n",
       "      <td>267.129419</td>\n",
       "      <td>258.678007</td>\n",
       "      <td>28.240164</td>\n",
       "      <td>0.127085</td>\n",
       "      <td>286.918171</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2593</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>123.90951</td>\n",
       "      <td>0.55761</td>\n",
       "      <td>136.323327</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.397445</td>\n",
       "      <td>386.599507</td>\n",
       "      <td>1.261675</td>\n",
       "      <td>448.996951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2594</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>166.418045</td>\n",
       "      <td>0.748904</td>\n",
       "      <td>178.831862</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.397445</td>\n",
       "      <td>519.226764</td>\n",
       "      <td>1.694506</td>\n",
       "      <td>581.624208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2595</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>17.984456</td>\n",
       "      <td>0.080933</td>\n",
       "      <td>30.398273</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.397445</td>\n",
       "      <td>56.111768</td>\n",
       "      <td>0.183122</td>\n",
       "      <td>118.509212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2597</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>84.665389</td>\n",
       "      <td>0.381006</td>\n",
       "      <td>97.079206</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.397445</td>\n",
       "      <td>264.157268</td>\n",
       "      <td>0.862082</td>\n",
       "      <td>326.554713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2598</th>\n",
       "      <td>US-Ha2</td>\n",
       "      <td>35:38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.413817</td>\n",
       "      <td>147.139651</td>\n",
       "      <td>0.662149</td>\n",
       "      <td>159.553468</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.397445</td>\n",
       "      <td>459.077891</td>\n",
       "      <td>1.498209</td>\n",
       "      <td>521.475336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12142 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       tower time_solar LST_unperturbed  LST_perturbation  \\\n",
       "8     US-Ha2    05:59.3           305.3        -19.137200   \n",
       "69    US-Ha2    05:59.3           305.3        -20.100831   \n",
       "75    US-Ha2    05:59.3           305.3        -15.482121   \n",
       "100   US-Ha2    39:24.3          272.82         -1.524803   \n",
       "101   US-Ha2    39:24.3          272.82         -5.690581   \n",
       "...      ...        ...             ...               ...   \n",
       "2593  US-Ha2    35:38.3             NaN               NaN   \n",
       "2594  US-Ha2    35:38.3             NaN               NaN   \n",
       "2595  US-Ha2    35:38.3             NaN               NaN   \n",
       "2597  US-Ha2    35:38.3             NaN               NaN   \n",
       "2598  US-Ha2    35:38.3             NaN               NaN   \n",
       "\n",
       "      LST_perturbation_std LST_perturbed LE_unperturbed LE_perturbation  \\\n",
       "8                -2.295963      286.1628            0.0        7.363549   \n",
       "69               -2.411573    285.199169            0.0        9.797068   \n",
       "75               -1.857449    289.817879            0.0        0.486898   \n",
       "100              -0.182936    271.295197     258.678007        2.515594   \n",
       "101              -0.682721    267.129419     258.678007       28.240164   \n",
       "...                    ...           ...            ...             ...   \n",
       "2593                   NaN           NaN      12.413817       123.90951   \n",
       "2594                   NaN           NaN      12.413817      166.418045   \n",
       "2595                   NaN           NaN      12.413817       17.984456   \n",
       "2597                   NaN           NaN      12.413817       84.665389   \n",
       "2598                   NaN           NaN      12.413817      147.139651   \n",
       "\n",
       "     LE_perturbation_std  LE_perturbed  ... Ta_C_perturbation_std  \\\n",
       "8               0.033137      7.363549  ...                   NaN   \n",
       "69              0.044088      9.797068  ...                   NaN   \n",
       "75              0.002191      0.486898  ...                   NaN   \n",
       "100             0.011321    261.193601  ...                   NaN   \n",
       "101             0.127085    286.918171  ...                   NaN   \n",
       "...                  ...           ...  ...                   ...   \n",
       "2593             0.55761    136.323327  ...                   NaN   \n",
       "2594            0.748904    178.831862  ...                   NaN   \n",
       "2595            0.080933     30.398273  ...                   NaN   \n",
       "2597            0.381006     97.079206  ...                   NaN   \n",
       "2598            0.662149    159.553468  ...                   NaN   \n",
       "\n",
       "      Ta_C_perturbed  RH_unperturbed RH_perturbation RH_perturbation_std  \\\n",
       "8                NaN             NaN             NaN                 NaN   \n",
       "69               NaN             NaN             NaN                 NaN   \n",
       "75               NaN             NaN             NaN                 NaN   \n",
       "100              NaN             NaN             NaN                 NaN   \n",
       "101              NaN             NaN             NaN                 NaN   \n",
       "...              ...             ...             ...                 ...   \n",
       "2593             NaN             NaN             NaN                 NaN   \n",
       "2594             NaN             NaN             NaN                 NaN   \n",
       "2595             NaN             NaN             NaN                 NaN   \n",
       "2597             NaN             NaN             NaN                 NaN   \n",
       "2598             NaN             NaN             NaN                 NaN   \n",
       "\n",
       "      RH_perturbed  Rg_unperturbed Rg_perturbation Rg_perturbation_std  \\\n",
       "8              NaN             NaN             NaN                 NaN   \n",
       "69             NaN             NaN             NaN                 NaN   \n",
       "75             NaN             NaN             NaN                 NaN   \n",
       "100            NaN             NaN             NaN                 NaN   \n",
       "101            NaN             NaN             NaN                 NaN   \n",
       "...            ...             ...             ...                 ...   \n",
       "2593           NaN       62.397445      386.599507            1.261675   \n",
       "2594           NaN       62.397445      519.226764            1.694506   \n",
       "2595           NaN       62.397445       56.111768            0.183122   \n",
       "2597           NaN       62.397445      264.157268            0.862082   \n",
       "2598           NaN       62.397445      459.077891            1.498209   \n",
       "\n",
       "      Rg_perturbed  \n",
       "8              NaN  \n",
       "69             NaN  \n",
       "75             NaN  \n",
       "100            NaN  \n",
       "101            NaN  \n",
       "...            ...  \n",
       "2593    448.996951  \n",
       "2594    581.624208  \n",
       "2595    118.509212  \n",
       "2597    326.554713  \n",
       "2598    521.475336  \n",
       "\n",
       "[12142 rows x 26 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_name = \"STIC\"\n",
    "forward_process = process_verma_STIC_table   \n",
    "input_variables = [\"LST\", \"NDVI\", \"albedo\", \"Ta_C\", \"RH\", \"Rg\"]\n",
    "output_variables = [\"LE\"]\n",
    "\n",
    "results = []\n",
    "correlations = []\n",
    "\n",
    "for input_variable in input_variables:\n",
    "    for output_variable in output_variables:\n",
    "        print(f\"input variable: {input_variable}\")\n",
    "        print(f\"output variable: {output_variable}\")\n",
    "        \n",
    "        # run forward process with perturbation\n",
    "        run_results = perturbed_run(input_df, input_variable, output_variable, forward_process)\n",
    "        run_results = run_results[run_results[f\"{output_variable}_perturbed\"] != 0]\n",
    "        run_results = run_results[run_results[f\"{output_variable}_perturbation\"] != 0]\n",
    "\n",
    "        if len(run_results) == 0:\n",
    "            print(f\"no relationship between {input_variable} and {output_variable}\")\n",
    "            continue\n",
    "\n",
    "        # input_perturbation = np.array(run_results[f\"{input_variable}_perturbation_std\"])\n",
    "        input_perturbation = np.array(run_results[f\"{input_variable}_perturbation\"])\n",
    "        # print(len(input_perturbation))\n",
    "        # output_perturbation = np.array(run_results[f\"{output_variable}_perturbation_std\"])\n",
    "        output_perturbation = np.array(run_results[f\"{output_variable}_perturbation\"])\n",
    "        # print(len(output_perturbation))\n",
    "        # perturbation_correlation = np.corrcoef(input_perturbation, output_perturbation)[0,1]\n",
    "        # correlations.append([input_variable, output_variable, perturation_core])\n",
    "\n",
    "        # create figure and axis objects\n",
    "        fig, ax = plt.subplots()\n",
    "\n",
    "        # create scatter plot\n",
    "        ax.scatter(input_perturbation, output_perturbation)\n",
    "\n",
    "        # set title and axis labels\n",
    "        ax.set_title(f\"{model_name} {input_variable} to {output_variable} Sensitivity\")\n",
    "        # ax.set_xlabel(f\"{input_variable} Input Perturbation Sigma\")\n",
    "        # ax.set_ylabel(f\"{output_variable} Output Perturbation Sigma\")\n",
    "        ax.set_xlabel(f\"{input_variable} Input Perturbation\")\n",
    "        ax.set_ylabel(f\"{output_variable} Output Perturbation\")\n",
    "\n",
    "        # show plot\n",
    "        plt.show()\n",
    "\n",
    "        results.append(run_results)\n",
    "\n",
    "results = pd.concat(results)\n",
    "# correlations = pd.DataFrame(correlations, columns=[\"input_variable\", \"output_variable\", \"correlation\"]) \n",
    "# correlations\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LST</th>\n",
       "      <th>LE</th>\n",
       "      <th>albedo</th>\n",
       "      <th>Ta_C</th>\n",
       "      <th>RH</th>\n",
       "      <th>Rg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LST</th>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LE</th>\n",
       "      <td>-0.05</td>\n",
       "      <td>1.00</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>albedo</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.81</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ta_C</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RH</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rg</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         LST    LE  albedo  Ta_C    RH    Rg\n",
       "LST     1.00 -0.05     NaN   NaN   NaN   NaN\n",
       "LE     -0.05  1.00   -0.81   0.1  0.09  0.88\n",
       "albedo   NaN -0.81    1.00   NaN   NaN   NaN\n",
       "Ta_C     NaN  0.10     NaN   1.0   NaN   NaN\n",
       "RH       NaN  0.09     NaN   NaN  1.00   NaN\n",
       "Rg       NaN  0.88     NaN   NaN   NaN  1.00"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_std = results[[column for column in results.columns if column.endswith(\"std\")]]\n",
    "results_std.columns = [column.replace(\"_perturbation_std\", \"\") for column in results_std.columns]\n",
    "results_std_corr = results_std.corr().round(2)\n",
    "results_std_corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_std_corr.to_csv('results_std_corr.csv', index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sensitivity",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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