ML4WX

Sub-seasonal to seasonal

Forecasting precipitation based on teleconnections using machine learning approaches across different precipitation regimes

Jalil Helali, Milad Nouri, Mehdi Mohammadi Ghaleni, Seyed Asaad Hosseini, Farshad Safarpour, Azim Shirdeli, Parisa Paymard, Zahra Kalantari

Environmental Earth Sciences ·

Paper

In one sentence. Machine learning models forecast precipitation from teleconnection indices across different precipitation regimes, an approach for seasonal-scale rainfall prediction.

Labels

Topic
Sub-seasonal to seasonal, Climate analysis & attribution
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:10.1007/s12665-023-11191-9 OpenAlex:W4387059168
Added
2026-10-22

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