01-Double_ITCZ_bias.ipynb

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    "# double_ITCZ_bias: Meridional structure of time-mean precipitation (PR) in the eastern Pacific\n",
    "\n",
    "The meridional structure of time-mean precipitation (PR) in the eastern Pacific, in the context of ENSO (El Niño-Southern Oscillation), refers to the distribution and variation of average precipitation along the north-south (meridional) direction over a certain period, usually during different ENSO phases (El Niño, La Niña, and neutral conditions)."
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    "This notebook computes the meridional root mean square error (RMSE) of climatological precipitation (PR) between model simulations and observations over the eastern Pacific region (15°S-15°N, 150°W-90°W). \n",
    "\n",
    "The analysis involves:\n",
    "- Averaging precipitation data zonally between 150°W and 90°W.\n",
    "- Time-averaging the precipitation data to create climatologies for both model output and observational data.\n",
    "- Calculating the meridional RMSE to quantify how well the model captures the observed precipitation pattern in this region.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
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    "## Observations and reanalysis datasets used for comparison\n",
    "\n",
    "The following reference observational datasets are used to evaluate the model simulations:\n",
    "\n",
    "- **GPCPv2.3 (1979-2018)**: The primary dataset for comparison. The Global Precipitation Climatology Project (GPCP) combines satellite and surface precipitation measurements to provide comprehensive global precipitation data.\n",
    "  \n",
    "Additional observational datasets used for comparison include:\n",
    "- **20CRv2 (1871-2012)**: The 20th Century Reanalysis provides global atmospheric data, including precipitation, based on surface pressure observations and ensemble assimilation techniques.\n",
    "- **CMAP (1979-2018)**: The CPC Merged Analysis of Precipitation (CMAP) is a blend of gauge and satellite observations, offering global precipitation estimates.\n",
    "- **ERA-Interim (1979-2018)**: Reanalysis data produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), providing atmospheric variables, including precipitation, based on a large-scale model and historical observations.\n",
    "- **NCEP2 (1979-2018)** also known as **NCEP-DOE R2**: The second generation of the National Centers for Environmental Prediction (NCEP) reanalysis, offering precipitation and other atmospheric variables.\n",
    "\n",
    "These datasets provide a range of perspectives on precipitation patterns, helping to assess the model’s performance more robustly."
   ]
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    "## Dask Cluster\n",
    "\n",
    "Start a cluster with multiple cores"
   ]
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       "                        <strong>Comm:</strong> tcp://127.0.0.1:44301\n",
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       "                        <strong>Workers:</strong> 7\n",
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       "                        <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:42989\n",
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       "                            <strong>Total threads: </strong> 1\n",
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       "                        <td style=\"text-align: left;\">\n",
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       "                            <strong>Memory: </strong> 4.57 GiB\n",
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       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-zuwj9gey\n",
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       "\n",
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       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36815\n",
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       "                            <strong>Total threads: </strong> 1\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42611/status\" target=\"_blank\">/proxy/42611/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34519\n",
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       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-r98ct_z5\n",
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       "\n",
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       "            <div style=\"margin-left: 48px;\">\n",
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       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
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       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:40881\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39953/status\" target=\"_blank\">/proxy/39953/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33467\n",
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       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-1y2cywa1\n",
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       "\n",
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       "\n",
       "                    \n",
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       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
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       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36453\n",
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       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34189/status\" target=\"_blank\">/proxy/34189/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34137\n",
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       "                        <td style=\"text-align: left;\"></td>\n",
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       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-ekqbq1wz\n",
       "                        </td>\n",
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       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
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       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34247\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/43477/status\" target=\"_blank\">/proxy/43477/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38749\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-41ovgug8\n",
       "                        </td>\n",
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       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
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       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:35151\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/38817/status\" target=\"_blank\">/proxy/38817/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38955\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-86ihy7ga\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:33277\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/46431/status\" target=\"_blank\">/proxy/46431/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46365\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/132353625.gadi-pbs/dask-scratch-space/worker-3o4045xq\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:44301' processes=7 threads=7, memory=32.00 GiB>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client, progress\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c049508-9892-425e-8c01-b8fc16acb109",
   "metadata": {},
   "source": [
    "## Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "47d0e610-9cc7-4f1a-8a29-24f1b71a27a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from esmvalcore.dataset import Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a2f6b61f-2f34-43c1-a8ea-c9cb2069f144",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_datasets = {\n",
    "\"ACCESS-ESM1-5\": \n",
    "    Dataset(\n",
    "    short_name='pr',\n",
    "    project='CMIP6',\n",
    "    mip=\"Amon\",\n",
    "    exp=\"historical\",\n",
    "    ensemble=\"r1i1p1f1\",\n",
    "    timerange=\"18500101/20150101\",\n",
    "    dataset=\"ACCESS-ESM1-5\",\n",
    "    grid=\"gn\"\n",
    ")}\n",
    "\n",
    "obs_datasets = {\n",
    "\"GPCP-SG\": \n",
    "    Dataset(\n",
    "    short_name='pr',\n",
    "    dataset='GPCP-SG',\n",
    "    mip=\"Amon\",\n",
    "    project='OBS',\n",
    "    type='atmos',\n",
    "    timerange=\"19790101/20190101\",\n",
    "    tier=2),\n",
    "# \"NOAA-CIRES-20CR-V2\": \n",
    "#     Dataset(\n",
    "#     short_name='pr',\n",
    "#     dataset='NOAA-CIRES-20CR-V2',\n",
    "#     mip=\"Amon\",\n",
    "#     project='OBS6',\n",
    "#     type='reanaly',\n",
    "#     timerange=\"187101/201212\",\n",
    "#     tier=2),\n",
    "# \"CMAP\": \n",
    "#     Dataset(\n",
    "#     short_name='pr',\n",
    "#     dataset='CMAP',\n",
    "#     mip=\"Amon\",\n",
    "#     project='OBS6',\n",
    "#     type='reanaly',\n",
    "#     timerange=\"197901/202408\",\n",
    "#     tier=2),\n",
    "## ERA-Interim not available in Tier2. Conctact NRI\n",
    "# \"ERA-Interim\": \n",
    "#     Dataset(\n",
    "#     short_name='pr',\n",
    "#     dataset='ERA-Interim',\n",
    "#     mip=\"Amon\",\n",
    "#     project='OBS6',\n",
    "#     type='reanaly',\n",
    "#     timerange=\"19790101/20190101\",\n",
    "#     tier=3)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "840eb8dd-d1df-4c35-bdb2-47a11ec41aec",
   "metadata": {},
   "source": [
    "## Add Ancillary files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ac744a33-64d3-4eac-a687-ccc7b92ab569",
   "metadata": {},
   "outputs": [],
   "source": [
    "for name, dataset in model_datasets.items():\n",
    "    dataset.add_supplementary(short_name='sftlf', mip=\"fx\")\n",
    "    dataset.add_supplementary(short_name=\"areacella\", mip=\"fx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "14ebbc7a-c579-4d83-b2c0-cdf32d140428",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:esmvalcore.local:'CMIP6' rootpaths '/g/data/zv30/cmip/CMIP6' set in config-user.yml do not exist\n",
      "WARNING:esmvalcore.cmor._fixes.fix.genericfix:Long name changed from 'Percentage of the grid  cell occupied by land (including lakes)' to 'Percentage of the Grid Cell Occupied by Land (Including Lakes)'\n",
      "(for file /g/data/fs38/publications/CMIP6/CMIP/CSIRO/ACCESS-ESM1-5/historical/r1i1p1f1/fx/sftlf/gn/v20191115/sftlf_fx_ACCESS-ESM1-5_historical_r1i1p1f1_gn.nc)\n"
     ]
    }
   ],
   "source": [
    "model_datasets = {name: dataset.load() for name, dataset in model_datasets.items()}\n",
    "obs_datasets = {name: dataset.load() for name, dataset in obs_datasets.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b79d1a10-6aa5-4eaa-916d-56ced1eadc5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from esmvalcore.preprocessor import annual_statistics\n",
    "from esmvalcore.preprocessor import climate_statistics\n",
    "from esmvalcore.preprocessor import convert_units\n",
    "from esmvalcore.preprocessor import extract_region\n",
    "from esmvalcore.preprocessor import extract_time\n",
    "from esmvalcore.preprocessor import regrid\n",
    "from esmvalcore.preprocessor import axis_statistics\n",
    "from esmvalcore.preprocessor import mask_landsea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2c72fabb-fa6f-4f95-aaf1-5ce7efef1e8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preproc1(cube):\n",
    "    nino3_latext_region = {\"start_longitude\": 150., \"end_longitude\": 270., \"start_latitude\": -15., \"end_latitude\": 15.}\n",
    "    cube = extract_time(cube, start_year=1979, start_month=1, start_day=1, end_year=2014, end_month=12, end_day=31)\n",
    "    cube = mask_landsea(cube, mask_out=\"land\")\n",
    "    cube = climate_statistics(cube, operator=\"mean\", period=\"full\")\n",
    "    cube = convert_units(cube, units=\"mm/day\")\n",
    "    cube = regrid(cube, target_grid=\"1x1\", scheme=\"linear\")\n",
    "    cube = extract_region(cube, **nino3_latext_region)\n",
    "    return cube\n",
    "\n",
    "def preproc2(cube):\n",
    "    nino3_latext_region = {\"start_longitude\": 210., \"end_longitude\": 270., \"start_latitude\": -15., \"end_latitude\": 15.}\n",
    "    cube = extract_time(cube, start_year=1979, start_month=1, start_day=1, end_year=2014, end_month=12, end_day=31)\n",
    "    cube = convert_units(cube, units=\"mm/day\")\n",
    "    cube = mask_landsea(cube, mask_out=\"land\")\n",
    "    cube = climate_statistics(cube, operator=\"mean\", period=\"full\")\n",
    "    cube = regrid(cube, target_grid=\"1x1\", scheme=\"linear\")\n",
    "    cube = extract_region(cube, **nino3_latext_region)\n",
    "    cube = axis_statistics(cube, operator=\"mean\", axis=\"x\")\n",
    "    return cube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "85e8f306-df29-4d54-99b6-e904c657e3ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/g/data/xp65/public/apps/med_conda/envs/esmvaltool-0.6/lib/python3.11/site-packages/iris/coords.py:2182: IrisVagueMetadataWarning: Collapsing a non-contiguous coordinate. Metadata may not be fully descriptive for 'time'.\n",
      "  warnings.warn(\n",
      "/g/data/xp65/public/apps/med_conda/envs/esmvaltool-0.6/lib/python3.11/site-packages/iris/coords.py:2182: IrisVagueMetadataWarning: Collapsing a non-contiguous coordinate. Metadata may not be fully descriptive for 'time'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "model_datasets_prep1 = {name: preproc1(dataset) for name, dataset in model_datasets.items()}\n",
    "obs_datasets_prep1 = {name: preproc1(dataset) for name, dataset in obs_datasets.items()}\n",
    "\n",
    "model_datasets_prep2 = {name: preproc2(dataset) for name, dataset in model_datasets.items()}\n",
    "obs_datasets_prep2 = {name: preproc2(dataset) for name, dataset in obs_datasets.items()}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bf68518-b12d-4ef9-aa17-b9d4c06f5e12",
   "metadata": {},
   "source": [
    "# Diagnostics Level 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "daffca06-bcb0-4aaa-955f-ecde5c5ea47f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import iris\n",
    "import iris.quickplot as qplt\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Function to format x-axis labels with degree symbols and N/S\n",
    "def format_latitude(x, pos):\n",
    "    if x < 0:\n",
    "        return f'{abs(x)}°S'\n",
    "    elif x > 0:\n",
    "        return f'{x}°N'\n",
    "    else:\n",
    "        return '0°'\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "obs_data = obs_datasets_prep2[\"GPCP-SG\"]\n",
    "model_data = model_datasets_prep2[\"ACCESS-ESM1-5\"]\n",
    "\n",
    "# Plot observation data in black\n",
    "qplt.plot(obs_data, color='black', label='Observation', linewidth=4)\n",
    "\n",
    "# Plot model data in blue\n",
    "qplt.plot(model_data, color='blue', label='Model', linewidth=4)\n",
    "\n",
    "rmse = np.sqrt(np.mean((obs_data.data - model_data.data) ** 2))\n",
    "\n",
    "# Adding labels and title\n",
    "plt.xlabel('Latitude')\n",
    "plt.ylabel('Precipitation (mm/day)')\n",
    "plt.title('Mean Precipitation')\n",
    "plt.grid(linestyle='--')\n",
    "plt.yticks(np.arange(0,16, step=5))\n",
    "\n",
    "\n",
    "# Adding RMSE text on top of the plot\n",
    "plt.text(0.5, 0.95, f'RMSE: {rmse:.2f} mm/day', fontsize=12, ha='center', transform=plt.gca().transAxes,\n",
    "         bbox=dict(facecolor='white', alpha=0.8, edgecolor='none'))\n",
    "\n",
    "# Setting custom x-axis formatter\n",
    "plt.gca().xaxis.set_major_formatter(plt.FuncFormatter(format_latitude))\n",
    "\n",
    "# Adding a legend\n",
    "plt.legend()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "307bc98e-3a06-4b5e-9122-08d1e0199ea3",
   "metadata": {},
   "source": [
    "Figure 1: Meridional bias in the time-mean precipitation (PR) structure across the eastern Pacific (averaged between 150–90°W), primarily illustrating the double intertropical convergence zone (ITCZ) bias. The black curve represents the reference data, while the blue curve represents the model data. The metric shown is the meridional RMSE between the model and reference curves."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a1ec6a8-70f8-4058-bba8-9db620f5413e",
   "metadata": {},
   "source": [
    "# Diagnostics Level 2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "14be08cb-c732-434c-8051-88eb32106c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "import matplotlib.colors as mcolors\n",
    "import cmocean\n",
    "\n",
    "# Importing numpy for linear space creation\n",
    "import numpy as np\n",
    "\n",
    "import iris\n",
    "import iris.plot as iplt\n",
    "\n",
    "obs_data = obs_datasets_prep1[\"GPCP-SG\"]\n",
    "model_data = model_datasets_prep1[\"ACCESS-ESM1-5\"]\n",
    "\n",
    "# Create a colormap from cmocean balance\n",
    "cmap = cmocean.cm.balance\n",
    "colors = cmap(np.linspace(0, 1, 14))\n",
    "\n",
    "# Create a large figure\n",
    "fig = plt.figure(figsize=(20, 10))  # Adjusted for full width\n",
    "\n",
    "# Center the map on the Pacific Ocean (roughly around 180° longitude)\n",
    "proj = ccrs.Orthographic(central_longitude=-160, central_latitude=0)\n",
    "\n",
    "# Define the normalization for the color scale with range of 0 to 12 mm\n",
    "norm = mcolors.Normalize(vmin=0, vmax=12)\n",
    "\n",
    "# Plot #1: contourf with axes longitude from -180 to 180\n",
    "ax1 = plt.subplot(121, projection=proj)\n",
    "cf1 = iplt.contourf(obs_data, cmap=cmap, norm=norm)\n",
    "ax1.add_feature(cfeature.LAND, facecolor='gray')  # Add land feature with gray color\n",
    "ax1.coastlines()\n",
    "ax1.set_extent([120, -80, -20, 20], crs=ccrs.PlateCarree())\n",
    "ax1.set_title(\"ref: GPCPv2.3\")\n",
    "\n",
    "# Add gridlines for latitude and longitude\n",
    "gl1 = ax1.gridlines(draw_labels=True, linestyle='--')\n",
    "gl1.top_labels = False\n",
    "gl1.right_labels = False\n",
    "\n",
    "# Plot #2: contourf with axes longitude from 0 to 360\n",
    "ax2 = plt.subplot(122, projection=proj)\n",
    "cf2 = iplt.contourf(model_data, cmap=cmap, norm=norm)\n",
    "ax2.add_feature(cfeature.LAND, facecolor='gray')  # Add land feature with gray color\n",
    "ax2.coastlines()\n",
    "ax2.set_extent([120, -80, -20, 20], crs=ccrs.PlateCarree())\n",
    "ax2.set_title(\"ACCESS-ESM1-5 r1i1p1f1\")\n",
    "\n",
    "# Add gridlines for latitude and longitude\n",
    "gl2 = ax2.gridlines(draw_labels=True, linestyle='--')\n",
    "gl2.top_labels = False\n",
    "gl2.right_labels = False\n",
    "\n",
    "# Add a single colorbar at the bottom\n",
    "cbar = fig.colorbar(cf2, ax=[ax1, ax2], orientation='horizontal', extend='both', pad=0.15, shrink=0.8)\n",
    "cbar.set_label('Precipitation (mm/day)')\n",
    "cbar.set_ticks(np.arange(0, 13, 2))  # Set ticks at intervals of 2 mm\n",
    "\n",
    "plt.subplots_adjust(bottom=0.3)  # Further adjust bottom margin to fit the colorbar\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9e4a159-55a4-4353-8ca6-ccbc0361a920",
   "metadata": {},
   "source": [
    "Figure 2: Time-mean precipitation (PR) bias in the equatorial Pacific, highlighting the double intertropical convergence zone (ITCZ) bias. The left map displays the reference data, while the right map shows the model data."
   ]
  }
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