paper
2022
Post-processing & calibration
New model or method
6 h–3 daysChina Meteorological Administration (CMA) Journal
2022-11-02
018
Nov 2022
Xiaoxiong You, Zhaoming Liang, Ya-qiang Wang et al.
Atmospheric Research
China Meteorological Administration (CMA)
Study of loss functions to counter class imbalance when deep learning corrects precipitation forecasts; abstract unavailable, so based on title only.
A study on loss function against data imbalance in deep learning correction of precipitation forecasts
In one sentence. Study of loss functions to counter class imbalance when deep learning corrects precipitation forecasts; abstract unavailable, so based on title only.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Time scale
- 6 h–3 days
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2022.106500 OpenAlex:W4308112140
- Added
- 2026-10-22
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