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The data we've been using for our temporal map albedo has NaNs in the northern latitudes. I've cleaned this dataset to replace those values with 1s, since in this snowy area we would expect larger latitudes. This is an oversimplification and we should find a better solution, but for now we can use this cleaned data to avoid handling NaNs even more incorrectly.
We should also use NCDatasets.nomissing when we read in data from NetCDF files (see docs here). This should fix the error ERROR: LoadError: MethodError: Cannot convert an object of type Missing to an object of type Float64 we see sometimes
We don't download the dataset directly, but rather get it from ClimaLand via a BulkAlbedoTemporal call. So we don't need to make this change in the coupler
The data we've been using for our temporal map albedo has NaNs in the northern latitudes. I've cleaned this dataset to replace those values with 1s, since in this snowy area we would expect larger latitudes. This is an oversimplification and we should find a better solution, but for now we can use this cleaned data to avoid handling NaNs even more incorrectly.
We should also use
NCDatasets.nomissing
when we read in data from NetCDF files (see docs here). This should fix the errorERROR: LoadError: MethodError: Cannot
convertan object of type Missing to an object of type Float64
we see sometimesThis was done for ClimaLand in CliMA/ClimaLand.jl#482
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