paper
2019
Post-processing & calibration
New model or method
6 h–3 daysInstitute of Atmospheric Physics, Chinese Academy of Sciences Journal
2019-08-20
018
Aug 2019
Haochen Li, Yu Chen, Jiangjiang Xia et al.
Advances in Atmospheric Sciences
Institute of Atmospheric Physics, Chinese Academy of Sciences
Machine learning post-processing of model output to produce grid-point temperature forecasts for the Beijing area.
A Model Output Machine Learning Method for Grid Temperature Forecasts in the Beijing Area
In one sentence. Machine learning post-processing of model output to produce grid-point temperature forecasts for the Beijing area.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-019-9023-z OpenAlex:W2969752514
- Added
- 2026-10-22
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