paper
2022
Post-processing & calibration
Nowcasting New model or method
Classical ML (trees, GP, linear, kernels)0–6 hDeutscher Wetterdienst (DWD) Journal
2022-08-04
047
Aug 2022
Martin Rempel, Peter Schaumann, Reinhold Hess et al.
Artificial Intelligence for the Earth Systems
Deutscher Wetterdienst (DWD)
Neural network blends two precipitation ensembles into calibrated hourly exceedance probabilities for +1 to +6 h, outperforming both inputs at all lead times.
Adaptive Blending of Probabilistic Precipitation Forecasts with Emphasis on Calibration and Temporal Forecast Consistency
In one sentence. Neural network blends two precipitation ensembles into calibrated hourly exceedance probabilities for +1 to +6 h, outperforming both inputs at all lead times.
Labels
- Topic
- Post-processing & calibration, Nowcasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0020.1 OpenAlex:W4289845923
- Added
- 2026-10-22
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