CMIP6 data

Coupled Model Intercomparison project Phase 6

• Project under World Climate Research Programme (WCRP)
• Since 1995 CMIP has coordinated climate model experiments
• Defines common experiment protocols, forcings and output.
• 33 model groups participate

GMD special issue with articles explaining all MIPs in CMIP6 : https://www.geosci-model-dev.net/special_issue590.html

• General CMIP6 website https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6
• Guidance documents: (https://pcmdi.llnl.gov/CMIP6/)
• Emissions/Forcing datasets (https://esgf-node.llnl.gov/projects/input4mips/)
• Participating Modelling Groups (https://rawgit.com/WCRP-CMIP/CMIP6_CVs/master/src/CMIP6_institution_id.html)
• Model and experiment documentation (https://search.es-doc.org/)

• CMIP6 ESMValTool evaluation and analysis results (https://cmip-esmvaltool.dkrz.de/)

• Emission visualising: https://eccad.aeris-data.fr

Advantages:

• Homogenized and standardized outputs
• Same variable name
• Same experiments

Experiments (DECK)

Links:

• Overview: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6
• ES-DOCs: https://search.es-doc.org/
• Database for data request: http://clipc-services.ceda.ac.uk/dreq/index.html
  • Search for variables: http://clipc-services.ceda.ac.uk/dreq/mipVars.html
  • Search for experiments: http://clipc-services.ceda.ac.uk/dreq/experiments.html

Tool to download from ESGF archive:

• Easiest: https://esgf-node.llnl.gov/search/cmip6/ Sugestion:
  • Choose a MIP (model intercomparison project) under "Activity" (e.g. CMIP)
  • Choose e.g. "Experiment ID" historical
  • Choose "Realm" e.g. aerosol
    • Press search (this will narrow your further options)
  • If you want a particular madGEM3-GC31-LL.amip.r2i1p1f3.Eday.zmla.gn Data Node: esgf-data3.ceda.ac.ukodel, you can choose this under "Source ID"
  • Now you can use either use "Variable" or "CF Standard Name" to pick out the variable you want. ## Download to Jupyter hub:
  • Click on the "WGET Script" under the variable file you want.
  • The file will get downloaded to your computer.
  • Upload it to the Jupyter Hub (you can click and drag the file into your folder)
  • Use a terminal in Jupyter hub and run

    bash wget***.sh -H
    

    (Replace wget***.sh by the actual name of your file)
  • When it askes for openid and password, just press "enter".

There are some tools for downloading and manipulating data, but I don't have experience with them.

• Command line tool to search and download files from the ESGF: http://prodiguer.github.io/synda/index.html
• ESMValTool: https://esmvaltool.readthedocs.io/en/latest/index.html
  • Observational data for comparison
  • CMORification
  • Works with Synda to get model data: https://esmvaltool.readthedocs.io/en/latest/getting_started/inputdata.html