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sort_indices.py
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sort_indices.py
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##################################################################
# Description: Works also for residuals.
# Code name: sort_indices.py
# Date of creation: 2018/10/24
# Date of last modification: 2018/11/15
# Contacts: chavaillaz.yann@ouranos.ca
##################################################################
# Needed packages
import numpy as np
import xarray as xr
import os
import sys
import time as tt
#import xclim as xc
start_time = tt.time()
start_time2 = tt.time()
# Initialization
clim_var = "prsn"
indice = "max1j"
season = "SON"
simulations = ["kda","kdb","kdc","kdd","kde","kdf","kdg","kdh","kdi","kdj","kdk",
"kdl","kdm","kdn","kdo","kdp","kdq","kdr","kds","kdt","kdu","kdv","kdw","kdx",
"kdy","kdz","kea","keb","kec","ked","kee","kef","keg","keh","kei","kej","kek",
"kel","kem","ken","keo","kep","keq","ker","kes","ket","keu","kev","kew","kex"]
path = ('/exec/yanncha/sea_ice/'+clim_var+'/')
# File .npy with definition of clusters
# col0: family, col1: member CanESM2-LE, col2: member ClimEx, col3: year,
# col4: sea ice extent, col5: cluster class (0 no ice, 1 ice, 2 unsure)
clusters = np.load('/exec/yanncha/sea_ice/clusters/sic_september_clusters_kmeans_CanESM2-LE.npy')
member = clusters[:,2]
year = clusters[:,3]
cluster = clusters[:,5]
# Initatialization of new variables
member0 = []
years0 = []
member1 = []
years1 = []
member2 = []
years2 = []
i0 = 0
i1 = 0
i2 = 0
### LOOP ON SIMULATIONS
for sim in simulations:
# load file with indice
filepath = os.path.join(path, "{0}_{1}_{2}_{3}.nc".format(clim_var,indice,season,sim))
ds = xr.open_dataset(filepath)
if season == "SON":
years = np.array(range(1955,2100))
else:
years = np.array(range(1954,2099))
# loop on years
for y in years:
ind = np.intersect1d(np.where(member==sim),np.where(year==str(y)))
group = cluster[ind]
# adding the map to the corresponding cluster
if group[0]=='0':
member0.append(sim)
years0.append(y)
ind0_y = np.expand_dims(np.array(ds[clim_var][np.where(years==y)[0][0],:,:]), axis=0)
if i0 == 0:
indice0 = ind0_y
else:
indice0 = np.concatenate((indice0,ind0_y),axis=0)
i0 += 1
if group[0]=='1':
member1.append(sim)
years1.append(y)
ind1_y = np.expand_dims(np.array(ds[clim_var][np.where(years==y)[0][0],:,:]), axis=0)
if i1 == 0:
indice1 = ind1_y
else:
indice1 = np.concatenate((indice1,ind1_y),axis=0)
i1 += 1
if group[0]=='2':
member2.append(sim)
years2.append(y)
ind2_y = np.expand_dims(np.array(ds[clim_var][np.where(years==y)[0][0],:,:]), axis=0)
if i2 == 0:
indice2 = ind2_y
else:
indice2 = np.concatenate((indice2,ind2_y),axis=0)
i2 += 1
file_txt = open('/home/yanncha/GitHub/sea-ice/outputs_from_code/sort_indices.txt','a')
file_txt.write(('### Simulation '+sim+' done!\n'))
file_txt.close()
print('### Simulation '+sim+' done!')
# Defining a new xarray
rlat = ds['rlat'][:]
rlon = ds['rlon'][:]
lat = ds['lat'][0,:,:]
lon = ds['lon'][0,:,:]
time0 = list(range(len(years0)))
time1 = list(range(len(years1)))
time2 = list(range(len(years2)))
xr_0 = xr.Dataset({indice: (['time','rlat','rlon'], indice0),
'member': (['time'], member0),
'years': (['time'], years0),
'lat': (['rlat','rlon'], lat),
'lon': (['rlat','rlon'], lon)},
coords={'time': (['time'], time0),
'rlat': (['rlat'], rlat),
'rlon': (['rlon'], rlon)})
xr_1 = xr.Dataset({indice: (['time','rlat','rlon'], indice1),
'member': (['time'], member1),
'years': (['time'], years1),
'lat': (['rlat','rlon'], lat),
'lon': (['rlat','rlon'], lon)},
coords={'time': (['time'], time1),
'rlat': (['rlat'], rlat),
'rlon': (['rlon'], rlon)})
xr_2 = xr.Dataset({indice: (['time','rlat','rlon'], indice2),
'member': (['time'], member2),
'years': (['time'], years2),
'lat': (['rlat','rlon'], lat),
'lon': (['rlat','rlon'], lon)},
coords={'time': (['time'], time2),
'rlat': (['rlat'], rlat),
'rlon': (['rlon'], rlon)})
# Storing the indices in a netcdf file
xr_0.to_netcdf(('/exec/yanncha/sea_ice/'+clim_var+'/'+clim_var+'_'+indice+'_'+season+'_sorted0.nc'))
xr_1.to_netcdf(('/exec/yanncha/sea_ice/'+clim_var+'/'+clim_var+'_'+indice+'_'+season+'_sorted1.nc'))
xr_2.to_netcdf(('/exec/yanncha/sea_ice/'+clim_var+'/'+clim_var+'_'+indice+'_'+season+'_sorted2.nc'))