Reference:Reference-022213: Difference between revisions

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|Year=2023-05
|Year=2023-05
|Journal=Stochastic Environmental Research and Risk Assessment
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|Volume=37
|Volume=37
|Pages=1777–1798
|Pages=1777–1798
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Latest revision as of 11:45, 12 November 2024



Author(s) Kim, Yongchan; Chung, Eun-Sung; Cho, Huidae; Byun, Kyuhyun; Kim, Dongkyun;
BibType journalArticle
Title The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models
Editors
Year 2023-05
Journal Stochastic Environmental Research and Risk Assessment
Booktitle
Volume 37
Pages 1777–1798
URL https://link.springer.com/10.1007/s00477-022-02366-0
DOI 10.1007/s00477-022-02366-0
ISBN
Note Auto downloaded ref at: 2024-08-29


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 92d0dcc2276c3e22ee938f677171a85acf0da52d
Nr of citations 5
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: VIC