For example, as indicated on : https://pcmdi.llnl.gov/index.html

Go to an esgf-node, for example: https://esgf-node.llnl.gov/projects/esgf-llnl/

(or choose an other node: https://esgf.llnl.gov/nodes.html)

CMIP6 data are available without registration (same node example): https://esgf-node.llnl.gov/search/cmip6/

Another source that gives the same information: https://pcmdi.llnl.gov/CMIP6/Guide/dataUsers.html

(see 3. Accessing model output)

useful documentation to find the appropriate experience(s) and variable(s):

https://search.es-doc.org/

http://cfconventions.org/

https://esgf-node.llnl.gov/search/cmip6/

Please check the following links:

https://esgf-node.llnl.gov/projects/esgf-llnl/ (Then click on CMIP6)

https://esgf-node.llnl.gov/search/cmip6/

Tabinda Masud kindly check this links , they will be of help;

https://esgf-node.llnl.gov/projects/esgf-llnl/ (Then click on CMIP6)

https://esgf-node.llnl.gov/search/cmip6/

https://esgf-node.llnl.gov/search/cmip6/

Ýe

Thanks everyone

Hi,

You can go through the below link:

https://esgf-node.llnl.gov/search/cmip6/

https://www.youtube.com/watch?v=AH0RI3EXkKw

https://esgf-node.llnl.gov/search/cmip6/

Hi dear all

Which model ( Source ID) in CMIP6 should be used for long-term sea level prediction?? I searched many CMIP6 models, but they mostly return no result when it comes to yearly or even monthly data.

Hi Mohammad Moradshahi here is paper which deals with DSL (Dynamic Sea Level) changes

Article Regional Dynamic Sea Level Simulated in the CMIP5 and CMIP6 ...

And if you want to analyze thermosteric changes you can use this paper as reference

Article Global mean thermosteric sea level projections by 2100 in CM...

I hope it helps!

Hi David Bustos Usta I thank you very much!

Many thanks for the useful links shared.

I am looking for high spatial (e.g., 0.1° x 0.1°) and temporal (daily or finer) resolution data based on CMIP6. Please, do you know some links from which I may download these data?

Many thanks

https://esgf-node.llnl.gov/search/cmip6/

You choose daily from the website. You need to regrid to what resolution you want because different models have different spatial resolution.

It can be downloaded from the site

ESGF-LLNL - Home | ESGF-CoG

https://esgf-node.llnl.gov/search/cmip6/

Is this place available to predict the future period of temperature and precipitation variables (sub-basin of the watershed) based on the sixth IPCC report (SSP scenario), used SDSM and Lars - WG software for the downscaling the CMIP6 models?

Dear Tabinda Masud

First, you can see the data availability of GCMs and Scenarios from this website:

https://pcmdi.llnl.gov/CMIP6/ArchiveStatistics/esgf_data_holdings/

Second, you can see all CMIP6 latest experiments information and their description by July 2021 from WCRP:

mirRaw Data All CMIP6 latest experiments information and their descripti...

Third, you can download the selected models and scenario parameters from this website by putting the right filters:

https://esgf-node.llnl.gov/search/cmip6/

In the end please see this article and if have any problem with this stuff please let me know.

Article A New Methodology for Reference Evapotranspiration Predictio...

Kind regards

Amir

https://www.nasa.gov/nex/gddp

https://www.nasa.gov/nex/gddp

Hi Tabinda Masud 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

https://esgf-node.llnl.gov/search/cmip6/

1. For any frequency (hourly, daily, monthly..etc): Create an account and access any CMIP6 products in this portal( https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cmip6?tab=overview).

2. For Monthly: Here is another easily accessible repository. https://climexp.knmi.nl/selectfield_cmip6.cgi?id=someone@somewhere

3. R-Package: hllauca/RClimChange: A package to manipulate Global Climate Models from NCCS THREDDS NEX-GDDP-CMIP6.

Example:

library(RClimChange)

# Download daily precipitation (in mm/d) from the BCC-CSM2-MR model; for 1990 and the Tana Basin, Ethiopia

gcm_download_data(location=getwd(),

model='BCC-CSM2-MR',

scenario='historical',

variable='pr',

years=1991,

roi=c(36.74, 38.24,10.95,12.75),

method='wininet')

You can download it from one of the following websites:

ttps://esgf-node.llnl.gov/search/cmip6/ or CMIP6 climate projections (copernicus.eu)