Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Hi,I would like to use the feature_collection to generate a Best-Estimate dataset. This works great for all parameters except for precipitation_amount.
The problem is, that precipitation is accumulated in time rather than a temporal excerpt, so for each run, precipitation at t=0 is 0, or, to express it more general, when running n-timesteps, we only get (n-1) values for accumulated data.
Is there a way to mark that one timestep as 'not to be used' for best estimates? It looks very strange when exactly one timestep is missing, exactly at the start of the newest run.
Best regards, Heiko
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