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Thanks for creating this discussion @ateucher!
var_df = earthaccess.list_variables(short_name="MOD13Q1v061") # we see what is in this dataset
ds = earthaccess.load_dataset(var_df["var1"."var2", "var3"]) # we load only the variables we need (using xarray) and we could even do a more complete search across collections (CMR already supports var seach for some selected datasets) datasets = earthaccess.search_vars("sea surface temperature", use_dict=True) # we can use CMR + our own dict Siri Jodha K. (NSIDC Scientist) mentioned that there is a working group in ESDIS working on improving this in CMR called "Variables First" initiative. I remember Christine Smit from GESDISC was involved on it.
I'm probably forgetting something, tagging @JessicaS11 @tsnow03 @andypbarrett @tsutterley @mikala-nsidc |
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Reporting out on earthaccess hack days.
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