paper
2022
Post-processing & calibration
Extremes & hazards New model or method
6 h–3 days Preprint
2022-01-01
012
Jan 2022
Qi Liu, Jiangjiang Xia, Yan Yan et al.
SSRN Electronic Journal
Applies deep learning to post-process ECMWF forecasts of heavy rainfall, correcting NWP output for extreme precipitation events.
Deep Learning-Based Postprocessing of Ecmwf Heavy Rainfall Forecasts
In one sentence. Applies deep learning to post-process ECMWF forecasts of heavy rainfall, correcting NWP output for extreme precipitation events.
Labels
- Topic
- Post-processing & calibration, Extremes & hazards
- Type
- New model or method
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.2139/ssrn.4075650 OpenAlex:W4226146707
- Added
- 2026-10-22
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