A Novel Strategy for Automatic Selection of Cross‐Basin Data to Improve Local Machine Learning‐Based Runoff Models

A Novel Strategy for Automatic Selection of Cross‐Basin Data to Improve Local Machine Learning‐Based Runoff Models

Abstract Previous studies have shown that regional deep learning (DL) models can improve runoff prediction by leveraging large hydrological datasets. However, training a DL regional model using all data without screening may degrade local performance. This study focuses on constructing enhanced loca...

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Bibliographic Details
Main Authors: Congyi Nai, Xingcai Liu, Qiuhong Tang, Liu Liu, Siao Sun, Paul P. J. Gaffney
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:Water Resources Research
Subjects:
LSTM
deep learning
basin‐affinity
data selection
Online Access:https://doi.org/10.1029/2023WR035051
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https://doi.org/10.1029/2023WR035051

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