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cs.LG2026
PARDIG: Global Precipitation Estimates Learned from Sparse Satellite Observations
Guy Shalev, Stephan Rasp, Boris Babenko +14
Estimating precipitation at the global scale is vital for Earth system science and disaster response, yet observational coverage and measurement precision remain constrained. Exist…
cs.LG2026
WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
Stephan Rasp, Boris Babenko, Dominic Masters +22
State-of-the-art AI weather models have shown impressive medium-range forecast skill and computational efficiency, but suffer two key shortcomings: their forecasts have lower spati…