HourGlass probabilistically reconstructs hourly weather evolution between 6-hourly forecast states using CRPS training on NWP trajectories, preserving skill and small-scale variability better than deterministic downscalers.
The ALADIN System and its canonical model configurations AROME CY41T1 and ALARO CY40T1.Geoscientific Model Development, 11(1):257–281, January 2018
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HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting
HourGlass probabilistically reconstructs hourly weather evolution between 6-hourly forecast states using CRPS training on NWP trajectories, preserving skill and small-scale variability better than deterministic downscalers.