Reference:Reference-029480: Difference between revisions
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| | |Firstname=Yifru, Bisrat Ayalew; Lim, Kyoung Jae; Bae, Joo Hyun; Park, Woonji; Lee, Seoro; | ||
|BibType=journalArticle | |||
|Title=A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling | |||
|Year=2024-04-01 | |||
|Journal=Hydrology Research | |||
|Booktitle=None | |||
|Volume=55 | |||
|Pages=498–518 | |||
|URL=https://iwaponline.com/hr/article/55/4/498/101195/A-hybrid-deep-learning-approach-for-streamflow | |||
|DOI=10.2166/nh.2024.016 | |||
|Note=Auto downloaded ref at: 2024-09-07 | |||
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Revision as of 17:50, 7 September 2024
| Author(s) | Yifru, Bisrat Ayalew; Lim, Kyoung Jae; Bae, Joo Hyun; Park, Woonji; Lee, Seoro; |
| BibType | journalArticle |
| Title | A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling |
| Editors | |
| Year | 2024-04-01 |
| Journal | Hydrology Research |
| Booktitle | None |
| Volume | 55 |
| Pages | 498–518 |
| URL | https://iwaponline.com/hr/article/55/4/498/101195/A-hybrid-deep-learning-approach-for-streamflow |
| DOI | 10.2166/nh.2024.016 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-07
|
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|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | ccf0e233c81f4eaac6c388b1db86d39d17a21bcc |
| 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: |
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| Model(s) discussed: | SWAT
|
