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Abstract: Developing a two-fold machine learning model to predict catchment-scale 3-day rainfall one week in advance using weekly ensemble forecasts (AGU25)

Developing a two-fold machine learning model to predict catchment-scale 3-day rainfall one week in advance using weekly ensemble forecasts

Seiya Aihara, National Agriculture and Food Research Organization (NARO), Institute of Rural Engineering, Tsukuba, Japan, Takeo Yoshida, National Agriculture and Food Research Organization, Institute for Rural Engineering, Tsukuba, Ibaraki, Japan, Hiroki Minakawa, Nat. Inst. Rural Engineering, Tsukuba, Japan and Asari Takada, NARO National Agriculture and Food Research Organization, Institute for Rural Engineering, Ibaraki, Japan
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