ML4WX

Sub-seasonal to seasonal

Seasonal precipitation forecast model in wet and dry seasons using global monthly surface temperature by deep learning

Shingo Zenkoji, Taichi TEBAKARI, Kazutoshi Sakakibara

Japan Geoscience Union ·

Paper

In one sentence. Deep learning model predicts seasonal wet and dry season precipitation from global monthly surface temperature fields (abstract not available).

Labels

Topic
Sub-seasonal to seasonal
Type
New model or method
Method
Other
Time scale
Seasonal to annual
Domain
Global
Data
Other
Status
Research
Identifiers
OpenAlex:W3188825417
Added
2026-10-22

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