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This repository has been archived by the owner on Nov 29, 2023. It is now read-only.
As we primarily care about predicting where clouds are now and in the future, topographical information for the images could help, as clouds form differently around mountains or coasts potentially.
The text was updated successfully, but these errors were encountered:
Good idea! I think some topographical information might be in the numerical weather prediction files, although I could definitely be wrong! A while ago, Dan (Travers) found some topographical information for the UK to 3D-print 3D maps of the UK!
Oh great! Yeah, I'll ask him about it. I found some from the USGS that gives 30m resolution of the whole world. Just downlaoded it so need to mess around with it still though.
MetNet includes this elevation data in their inputs, so it seems like it should help the model.
From the paper:
The input features comprise the single MRMS radar image,
the 16 spectral bands of the GOES-16 satellite and additional real-valued features for the longitude,
latitude and elevation of each location in the patch as well as for the hour, day and month of the
input time Tx. The latter time features are tiled along the spatial dimensions of the input tensor
As we primarily care about predicting where clouds are now and in the future, topographical information for the images could help, as clouds form differently around mountains or coasts potentially.
The text was updated successfully, but these errors were encountered: