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Why do we want to CMORize all observational datasets? #1120
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@hb326 thoughts? Comments? |
@mattiarighi just answered this question offline to me, his answer is :
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That does not really answer the question, because you can also have a pool of observational data without reformatting it. I think the real answer is probably more a perceived run-time advantage, reformatting takes some time, so if you have to do it every time you run a recipe, it could potentially be slower. |
I'll take a step back and point to a few things:
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Talking about intake, today's tech-talk by DKRZ on this subject might be of interest: It should be available on their youtube channel soon. |
Maybe we should rather define certain interfaces to existing packages that take care of reading datasets into common Python data structures. E.g. particularly suitable for reading a very diverse set of data in different formats is intake. Another interesting project focusing on satellite datasets is open data cube.
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