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

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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Bibliographic Details
Main Authors: Senlin Tang, Fubao Sun, Wenbin Liu, Hong Wang, Yao Feng, Ziwei Li
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Water Resources Research
Subjects:
long short‐term memory
global hydrological models
hydrological similarities
streamflow
ungauged basins
Online Access:https://doi.org/10.1029/2022WR034352
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