paper
2020
Post-processing & calibration
Global medium-range NWP New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-09-01
008
Sep 2020
А.Yu. Doroshenko, Vitalii Shpyg, Roman Kushnirenko
PROBLEMS IN PROGRAMMING
Neural network predicts and corrects COSMO regional model 2m temperature errors, improving forecasts in about 50% of cases.
Application of machine learning to improving numerical weather prediction
In one sentence. Neural network predicts and corrects COSMO regional model 2m temperature errors, improving forecasts in about 50% of cases.
Labels
- Topic
- Post-processing & calibration, Global medium-range NWP
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.15407/pp2020.02-03.375 OpenAlex:W3100905835
- Added
- 2026-10-22
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