paper
2020
Post-processing & calibration
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-03-01
012
Mar 2020
Быков Филипп Леонидович
Russian Meteorology and Hydrology
Neural-network correction of COSMO-Ru13 surface forecasts up to 117 hours, tested on 23 million 2018 forecasts, reduces errors even at unobserved points.
Statistical Correction of the COSMO Model Weather Forecasts Based on Neural Networks
In one sentence. Neural-network correction of COSMO-Ru13 surface forecasts up to 117 hours, tested on 23 million 2018 forecasts, reduces errors even at unobserved points.
Labels
- Topic
- Post-processing & calibration
- 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, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.3103/s1068373920030012 OpenAlex:W3026397925
- Added
- 2026-10-22
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