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Ryu Shimabukuro

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Open access Sep 2026

An NWP-Free, Observation-Driven Deep Learning Approach to Heavy-Rainfall Nowcasting Beyond the Three-Hour Limit

FlowsNet is presented, an observation-based multisensor fusion model that learns directly from radar/rain gauge-analyzed precipitation, surface variables from ground stations, geostationary satellite imagery, and satellite-derived precipitation context and outperforms a leading extrapolation-based method and state-of-t...

Ryu Shimabukuro, Tomohiko Tomita, Tsuyoshi Yamaura et al. · 0 citations

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