ML4WX

Extremes & hazards

SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction

Guangning Xu, Kenghong Lin, Xutao Li, Yunming Ye

Pattern Recognition Letters ·

Paper

In one sentence. SAF-Net proposes a spatio-temporal deep learning model for typhoon intensity prediction; no abstract was available, so this rests on the title alone.

Labels

Topic
Extremes & hazards
Type
New model or method
Time scale
6 h–3 days
Domain
Regional
Status
Research
Identifiers
DOI:10.1016/j.patrec.2021.11.012 OpenAlex:W3212309402
Added
2026-10-22

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