ML4WX

Nowcasting

DATA-DRIVEN ANALYSIS OF NONLINEAR DYNAMICS BASED ON KOOPMAN OPERATOR THEORY AND ITS APPLICATION TO SHORT-TERM PRECIPITATION FORECAST

Takashi Miyamoto, Shitao Zheng, Masato ABE, Koyuru Iwanami

Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)) ·

PaperPDF

In one sentence. Combines Koopman operator analysis with kinematic analysis for short-term precipitation forecasting; abstract is in Japanese and the ML contribution is modest.

Labels

Topic
Nowcasting
Type
New model or method
Method
Other
Time scale
0–6 h
Domain
Regional
Data
Radar
Status
Research
Identifiers
DOI:10.2208/jscejam.76.1_22 OpenAlex:W3043725338
Added
2026-10-22

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