Reference:Reference-022213: Difference between revisions
From CSDMS
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|Journal=Stochastic Environmental Research and Risk Assessment | |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 10:45, 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
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| Which groups | ||
| 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: |
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| Model(s) discussed: | VIC
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