ML4WX

Post-processing & calibration

Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, Maurice J. Schmeits

Artificial Intelligence for the Earth Systems · · KNMI (Royal Netherlands Meteorological Institute)

PaperPDF

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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