ML4WX

Sub-seasonal to seasonal

Assessment of machine learning model performance for seasonal precipitation simulation based on teleconnection indices in Iran

Jalil Helali, Mehdi Mohammadi Ghaleni, Seyed Asaad Hosseini, Ali Lotfi Siraei, Vahideh Saeidi, Farshad Safarpour, Mojgan Mirzaei, Mohammad Lotfi

Arabian Journal of Geosciences ·

Paper

In one sentence. Assesses machine learning models for seasonal precipitation simulation in Iran using teleconnection indices as predictors; no abstract available.

Labels

Topic
Sub-seasonal to seasonal, Climate analysis & attribution
Type
Evaluation or intercomparison of existing models
Method
Classical ML (trees, GP, linear, kernels)
Time scale
Seasonal to annual
Domain
Regional
Data
Other
Status
Research
Identifiers
DOI:10.1007/s12517-022-10640-2 OpenAlex:W4288443322
Added
2026-10-22

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