ML4WX

Post-processing & calibration

Deeplearning-based approach to improving numerical weather forecasts

А.Yu. Doroshenko, Vitalii Shpyg, Roman Kushnirenko

PROBLEMS IN PROGRAMMING ·

PaperPDF

In one sentence. Neural network corrects COSMO 2 m temperature forecast errors at eight Kyiv-region stations, improving forecasts in over 50% of cases.

Labels

Topic
Post-processing & calibration
Type
New model or method
Method
Other
Time scale
6 h–3 days
Domain
Local / station
Data
NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
Status
Research
Identifiers
DOI:10.15407/pp2023.03.091 OpenAlex:W4388827505
Added
2026-10-22

Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.