A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts

•CREST-iMAP is tested for flood predictability giving 1-hour lead-time.•NWP QPFs and U-Net AI nowcasts are used to predict for Hurricane Harvey flood.•QPFs have displacement errors but still yielded good flood peak prediction.•QPFs predict better maximum flood extent maps than AI nowcast. A flood is...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2022-09, Vol.612, p.128168, Article 128168
Hauptverfasser:	Chen, Mengye, Li, Zhi, Gao, Shang, Xue, Ming, Gourley, Jonathan J., Kolar, Randall L., Hong, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Flood Forecasts Hurricane Harvey hurricanes hybrids Hydrologic-hydraulic model prediction Quantitative precipitation forecast stream flow
Online-Zugang:	Volltext
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