paper
2023
Sub-seasonal to seasonal
New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2023-01-01
008
Jan 2023
Xiaojing Jia, Qifeng Qian
Atmospheric Research
Applies machine learning models to seasonal forecasting of winter precipitation over China; the abstract is missing, so skill results cannot be confirmed.
Seasonal Forecast of Winter Precipitation Over China Using Machine Learning Models
In one sentence. Applies machine learning models to seasonal forecasting of winter precipitation over China; the abstract is missing, so skill results cannot be confirmed.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.2139/ssrn.4457264 OpenAlex:W4377723613
- Added
- 2026-10-22
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