Created
October 26, 2019 19:58
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Python code to extract river discharge on a specific coordinate from C3S EFAS
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| import xarray as xr | |
| import numpy as np | |
| import pandas as pd | |
| from pyproj import Proj, transform | |
| import os.path | |
| # Data for projections | |
| # CHECK WITH https://epsg.io/transform#s_srs=4326&t_srs=3035&x=17.6830006&y=48.4970017 | |
| inProj = Proj(init='epsg:4326') | |
| outProj = Proj(init='epsg:3035') | |
| PATH_TO_EFAS = '/PATH/TO/EFAS/EFAS-historical/' | |
| d = xr.open_mfdataset(PATH_TO_EFAS + 'efas*201*nc', chunks = {'time': 10}, combine = 'by_coords') | |
| # LOAD POWER PLANTS DATA | |
| pp = pd.read_csv('top-20-ror-ppdb.csv') | |
| for index, plant in pp.iterrows(): | |
| print(plant) | |
| filename_out = 'out-'+plant['eic_p']+'_2010-2018.csv' | |
| print(filename_out) | |
| if not os.path.exists(filename_out): | |
| lat = plant['lat'] | |
| lon = plant['lon'] | |
| x_t,y_t = transform(inProj,outProj,lon,lat) | |
| # Get closest grid points | |
| dsel = d.sel(x = slice(x_t - 7500, x_t + 7500), y = slice(y_t + 7500, y_t - 7500)).compute() | |
| # MAX 9 | |
| discharge = dsel.max(['x', 'y']).dis24 | |
| discharge.to_dataframe().to_csv(filename_out) |
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