Hi Ken,
> Thank you for your offer to help. Attached is a small sample file: 10 lon,lat
> locations by 5 times.
In your example dataset, there are five values for the time coordinate.
However, the values of x, y, lat, lon, and elev do not seem to depend on
the values of time. Is this true in general for your data? If that's
true (while still allowing x, y etc. to vary from year to year, or file
to file), that makes packaging even simpler.
-Sourish
>
> I've been trying to do this in Python with Pandas and xarray (eventually
> incorporating Dask once I've figured this out) but I can work in almost any
> language, if you're willing to share code.
>
> For interest - I've mapped all the hydrologic outlets at the coast of
> Greenland at very high resolution. These are the 20,000 (lon,lat) locations,
> with some metadata. Then I've partitioned regional climate model (RCM)
> outputs based on the basin feeding each outlet. I have daily values of rain
> and melted ice, from 2 RCMs. So the attached file could be considered 1
> variable, and I have six per outlet. But I'd be OK with six separate NetCDF
> files. Vars are ice_runoff_RCM1, ice_runoff_RCM2, and 4 more:
> rain_over_{ice,land}_RCM{1,2}.
>
> -k.
>
>
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