Reference:Reference-033217: Difference between revisions

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|DOIentry=10.1038/s41598-024-77678-y
|Firstname=Chen, Songliang; Feng, Youcan; Li, Hongyan; Ma, Donghe; Mao, Qinglin; Zhao, Yilian; Liu, Junhui;
|BibType=journalArticle
|Title=Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling
|Year=2024-11-02
|Journal=Scientific Reports
|Booktitle=None
|Volume=14
|Pages=None
|URL=https://www.nature.com/articles/s41598-024-77678-y
|DOI=10.1038/s41598-024-77678-y
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Latest revision as of 20:40, 1 December 2024



Author(s) Chen, Songliang; Feng, Youcan; Li, Hongyan; Ma, Donghe; Mao, Qinglin; Zhao, Yilian; Liu, Junhui;
BibType journalArticle
Title Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling
Editors
Year 2024-11-02
Journal Scientific Reports
Booktitle None
Volume 14
Pages None
URL https://www.nature.com/articles/s41598-024-77678-y
DOI 10.1038/s41598-024-77678-y
ISBN
Note Auto downloaded ref at: 2024-12-02


 
Feature reference No
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MS_PublicationClusterID 0
Semantic_ID 530919fdcc9ed734bcf6079dad47a4c6b75d8968
Nr of citations 0
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: WRF