bathymetry_produce_for_drew_point_and_bykovsky.py

# -*- coding: utf-8 -*-
"""
Created on Tue Jun 16 13:58:04 2020

Produce bathymetry NumPy arrays for use in the bathystrophic storm surge model.

rebecca.rolph@awi.de
"""

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# set basepath
basepath = '/permarisk/output/becca_erosion_model/ArcticBeach/' # where txt or csv 
#of bathymetry information is saved.
# set path to save npy bathymetry output file.
ofilepath = basepath + 'input_data/storm_surge/'

# Interpolate bathymetry to a higher resolution. Commented out after loop is run and depthHR is saved to a npy file.

bathyfile = basepath + 'depth_drew_point_from_Ravens_2012.txt'

depth = pd.read_csv(bathyfile,header=None)
depthHR =  np.zeros(126)
k = -1
for i in np.arange(0,depth.shape[0]-1):
    k = k + 1
    depthHR[k] = depth.iloc[i]
    k = k + 1
    depthHR[k] = 0.8*depth.iloc[i] + 0.2*depth.iloc[i+1]
    k = k + 1
    depthHR[k] = .6*depth.iloc[i]+.4*depth.iloc[i+1]
    k = k + 1
    depthHR[k] = .4*depth.iloc[i]+.6*depth.iloc[i+1]
    k = k + 1
    depthHR[k] = .2*depth.iloc[i]+.8*depth.iloc[i+1]

depthHR = depthHR[:-1]
# save 
np.save(ofilepath + 'Drew_Point/depthHR_drewPoint.npy',depthHR)

# Mamontov Khayata
depth_bykovsky = np.zeros(127)
for i in np.arange(1,depth_bykovsky.shape[0]-1):
	depth_bykovsky[i-1] = 80/126 * i

depth_bykovsky = np.flip(depth_bykovsky[:-2])

np.save(ofilepath + 'Mamontovy_Khayata/depth_bykovsky.npy',depth_bykovsky)

# the numpy file needs to be saved from offshore inwards, so the greatest depth has 
# index 0.  however, for plotting purposes, we will reverse this so index 0 is the 
# beach depth.

fig, ax = plt.subplots()
plt.title('Bathymetry input used to calculate storm surge')
ax.plot(np.flip(depthHR),'*', label='Drew point')
ax.plot(np.flip(depth_bykovsky),'o', label='Bykovsky')
ax.set_xlabel('Distance from beach [km]' )
ax.set_ylabel('Water depth [m]' )
#plt.gca().invert_xaxis()
plt.gca().invert_yaxis()
plt.legend()
plt.show()