Reference:Reference-022213
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Publication information
| 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 |
| Year | 2023-05 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume | 37 |
| Pages | 1777–1798 |
| URL | https://link.springer.com/10.1007/s00477-022-02366-0 |
| DOI | 10.1007/s00477-022-02366-0 |
| Note | Auto downloaded ref at: 2024-08-29 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-08-31 |
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 92d0dcc2276c3e22ee938f677171a85acf0da52d | |
| Nr of citations | 9 | |
| 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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