Reference:Reference-029480
From CSDMS
| 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 | ||
| 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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| Highlighted paper on group site | ||
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| Which groups | ||
| 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
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