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Amazing you were able to get data from 300-GB to 10-GB, impressive!

Radar-Data: Find the most obvious gaps in predicting short-term weather are related to radar data. Obviously radar datasets would be require massive storage space, but curious if you have run across any free sources for archival radar data or APIs for real-time streams; or open source code from scrapping existing services radar feeds.

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`300 GB` to `10 GB` was bit over optimistic ;-) 300 GB already included 3 weeks of data. `100 GB` to `10 GB` is a more realistic number.

Many weather variables like precipitation or pressure are very easy to compress. Variables like solar radiation are more dynamic and therefore less efficient to compress.

Getting radar data is horrible... In some countries like the US or Germany, it is easy, but many other countries do not offer open-data radar access. For the time being, I will integrate more open datasets first

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