Optimal Postprocessing Strategies With LSTM for Global Streamflow Prediction in Ungauged Basins

Abstract Streamflow prediction in ungauged basins (PUB) is challenging, and Long Short‐Term Memory (LSTM) is widely used to for such predictions, owing to its excellent migration performance. Traditional LSTM forced by meteorological data and catchment attribute data barely highlight the optimum dat...

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Detalhes bibliográficos

Principais autores:	Senlin Tang, Fubao Sun, Wenbin Liu, Hong Wang, Yao Feng, Ziwei Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2023-07-01
coleção:	Water Resources Research
Assuntos:	long short‐term memory global hydrological models hydrological similarities streamflow ungauged basins
Acesso em linha:	https://doi.org/10.1029/2022WR034352
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