paper
2023
Sub-seasonal to seasonal
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annualInstitute of Atmospheric Physics, Chinese Academy of Sciences Journal
2023-08-05
022
Aug 2023
Yanbo Nie, Jianqi Sun, Jiehua Ma
Atmospheric Research
Institute of Atmospheric Physics, Chinese Academy of Sciences
Machine learning seasonal prediction of summer extreme precipitation frequency over Southwest China; classified from the title only, as the abstract is missing.
Seasonal prediction of summer extreme precipitation frequencies over Southwest China based on machine learning
In one sentence. Machine learning seasonal prediction of summer extreme precipitation frequency over Southwest China; classified from the title only, as the abstract is missing.
Labels
- Topic
- Sub-seasonal to seasonal, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2023.106947 OpenAlex:W4385605327
- Added
- 2026-10-22
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