Reference:Reference-033217
From CSDMS
| Author(s) | Chen, Songliang; Feng, Youcan; Li, Hongyan; Ma, Donghe; Mao, Qinglin; Zhao, Yilian; Liu, Junhui; |
| BibType | journalArticle |
| Title | Enhancing runoff predictions in data-sparse regions through hybrid deep learning and hydrologic modeling |
| Editors | |
| Year | 2024-11-02 |
| Journal | Scientific Reports |
| Booktitle | None |
| Volume | 14 |
| Pages | None |
| URL | https://www.nature.com/articles/s41598-024-77678-y |
| DOI | 10.1038/s41598-024-77678-y |
| ISBN | |
| Note | Auto downloaded ref at: 2024-12-02
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 530919fdcc9ed734bcf6079dad47a4c6b75d8968 |
| 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: | WRF
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