paper
2019
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2019-06-04
004
Jun 2019
Xaniyar Asgari-Motlagh, Mehdi Ketabchy, Ali Daghighi
International Academic Journal of Science and Engineering
Probabilistic quantitative precipitation forecasting combining machine learning with probable maximum precipitation; abstract not available, so classification is low-confidence.
Probabilistic Quantitative Precipitation Forecasting Using Machine Learning Methods and Probable Maximum Precipitation
In one sentence. Probabilistic quantitative precipitation forecasting combining machine learning with probable maximum precipitation; abstract not available, so classification is low-confidence.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.9756/iajse/v6i1/1910001 OpenAlex:W2989216760
- Added
- 2026-10-22
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