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Support for most observational datasets in ESMValTool does not come via recipes, but rather via a special cmorization facility for observations. This is described in the documentation here. For example for merra2, you should be able to do something like
to both download and reformat the observations. You may find that that does not include all variables that you are interested in. In that case, it may be necessary to modify the configuration at I'm happy to continue the discussion here and to see how you are getting on. |
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It looks like there is a typo in the command you're running, it should be
You can view all available recipes with the command
But like @zklaus says, for cmorizing there is the |
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I have modified the MERRA2.yml so that it contains nearly all of the CMIP5 standard 2D variables. The remaining variables are combination of variables that are found in the "rad" monthly collection. The merra-2.py recipe will need to be modified. This is a list of the differences that need to be calculated. Can this be done in the merra2.py recipe? rsus_monthly: Contents of MERRA2.yml below:
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I need to CMORize several sets of monthly reanalysis data. I would very much like to use esmvaltool but I'm having trouble setting up the recipe. Several of the example recipes don't exist. For example:
(esmvaltool) potter@linux:~/esmvaltool_tutorial/esmvaltool_recipes$ esmvaltool recipes get cmorizers/cmorizers/recipe_era5-land.yml
2022-06-13 22:19:01,492 UTC [157218] INFO Copying installed recipe to the current folder...
2022-06-13 22:19:01,492 UTC [157218] ERROR Program terminated abnormally, see stack trace below
For example, I need to cmorize monthly average MERRA2, JRA55, and CFSR (all CMIP5 variables for 1980-2021) . Do you have an example of how I might set this up?
Thank you very much.
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