paper
2021
Post-processing & calibration
New model or method
Other6 h–3 daysNSF NCAR / UCARKarlsruhe Institute of Technology (KIT) Journal
2021-10-14
047
Oct 2021
William Eric Chapman, Luca Delle Monache, Stefano Alessandrini et al.
Monthly Weather Review
NSF NCAR / UCAR, Karlsruhe Institute of Technology (KIT)
Deep-learning postprocessing turns deterministic West-WRF atmospheric river IVT forecasts into reliable probabilistic forecasts that rival calibrated GEFS out to 120 h.
Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning
In one sentence. Deep-learning postprocessing turns deterministic West-WRF atmospheric river IVT forecasts into reliable probabilistic forecasts that rival calibrated GEFS out to 120 h.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Method
- Other
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/mwr-d-21-0106.1 OpenAlex:W3206359964
- Added
- 2026-10-22
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