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We provide here a tutorial on how to make pretty visuals from GCM simulations. Do not hesitate to send us your best visuals so that we can enrich our GCM plot gallery.

import pyvista as pv
import numpy as np
from netCDF4 import Dataset
# import all the required libraries (netcdf4, pyvista)

#FIRST WE GET THE DATA FROM THE GCM SIMULATION

# 4D GRID VARIABLES
nc1 = Dataset('diagfi.nc')

Time_GCM=nc1.variables['Time'][:]
lat_GCM=nc1.variables['latitude'][:]
lon_GCM=nc1.variables['longitude'][:]
alt_GCM=nc1.variables['altitude'][:]
aire_GCM=nc1.variables['aire'][:][:]

resolution_lon_GCM = abs(lon_GCM[1]-lon_GCM[0])
resolution_lat_GCM = abs(lat_GCM[1]-lat_GCM[0])

# 2D VARIABLES
tsurf1=nc1.variables['tsurf'][:][:][:]
OLR1=nc1.variables['OLR'][:][:][:]
h2o_ice_col1=nc1.variables['h2o_ice_col'][:][:][:]

# 3D VARIABLES
u1=nc1.variables['u'][:][:][:][:]
v1=nc1.variables['v'][:][:][:][:]
w1=nc1.variables['w'][:][:][:][:]
ice1=nc1.variables['h2o_ice'][:][:][:][:]
temp1=nc1.variables['temp'][:][:][:][:]