paper
2023
Post-processing & calibration
Sub-seasonal to seasonalExplainability, uncertainty & physics New model or method
Other2 weeks–2 monthsKNMI (Royal Netherlands Meteorological Institute) Journal
2023-04-19
051
Apr 2023
Chiem van Straaten, Kirien Whan, Dim Coumou et al.
Artificial Intelligence for the Earth Systems
KNMI (Royal Netherlands Meteorological Institute)
An explainable ANN corrects ECMWF extended-range European summer temperature exceedance probabilities and traces errors to western Pacific SST teleconnections, improving skill.
Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures
In one sentence. An explainable ANN corrects ECMWF extended-range European summer temperature exceedance probabilities and traces errors to western Pacific SST teleconnections, improving skill.
Labels
- Topic
- Post-processing & calibration, Sub-seasonal to seasonal, Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Other
- Time scale
- 2 weeks–2 months
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...), ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0047.1 OpenAlex:W4366413227
- Added
- 2026-10-22
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