توجد افلام على تطبيق اليوتيوب توضع عمليه إدخال هذا البرنامج

Hi Shaheen Javed here is a Python script to download data from CMIP6 for a specific region using Python that can be useful for you:

"""

! pip install esgf-pyclient==0.3.0

!pip install requests-cache==0.4.1

from pyesgf.search import SearchConnection

import os

import requests_cache

requests_cache.core.CachedSession

#from pyesgf.search import SearchConnection

#import os

#import pandas as pd

import requests

from tqdm import tqdm

import xarray as xr

#import requests_cache

requests_cache.core.CachedSession

lista_modelos= ['ACCESS-CM2','ACCESS-ESM1-5','AWI-CM-1-1-MR','BCC-CSM2-MR',

'CAMS-CSM1-0','CAS-ESM2-0','CMCC-CM2-SR5','CMCC-ESM2','CanESM5',

'EC-Earth3','EC-Earth3-Veg','EC-Earth3-Veg-LR','FGOALS-f3-L',

'GFDL-ESM4','IITM-ESM','INM-CM4-8','INM-CM5-0','IPSL-CM6A-LR',

'KACE-1-0-G','MIROC6','MPI-ESM1-2-HR','MPI-ESM1-2-LR','MRI-ESM2-0',

'NESM3']

conn = SearchConnection('https://esgf-node.llnl.gov/esg-search', distrib=True)

ctx = conn.new_context(project='CMIP6',

experiment_id=['historical'],

realm=['atmos'],

variable='uas',

frequency='mon',

source_type=['AOGCM'],

variant_label='r1i1p1f1',

source_id= lista_modelos

)

ctx.hit_count

ctx.facet_counts['source_id'].keys()

# Obtain urls lists

lista_urls=[]

for i in range(len(ctx.search())):

try:

result = ctx.search()[i]

print(result.dataset_id,'..............ok')

lista_urls.append(result)

except:

pass

print('-------------------------------')

print('Lista finales')

lista_urls

# Download the first model for example

tr=[x for x in lista_urls if lista_modelos[0] in x.dataset_id]

files = tr[0].file_context().search()

lista=[]

for i in range(len(files)):

lista.append(files[i].opendap_url)

print(lista)

ds = xr.open_mfdataset([x for x in lista], chunks={'time': 120}, combine='nested', concat_dim='time')

ds_mei=ds.where((ds.lon>=-90+360) & (ds.lon=6) & (ds.lat