Reference:Reference-021332: Difference between revisions
From CSDMS
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|Year=2021-04 | |Year=2021-04 | ||
|Journal=International Journal of Climatology | |Journal=International Journal of Climatology | ||
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|Volume=41 | |Volume=41 | ||
|Pages=3411–3424 | |Pages=3411–3424 | ||
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Latest revision as of 11:43, 12 November 2024
| Author(s) | Su, Yuanyuan; Li, Yongping; Liu, Yuanrui; Huang, Guohe; Jia, Qimeng; Li, Yanfeng; |
| BibType | journalArticle |
| Title | An integrated multi‐GCMs Bayesian‐neural‐network hydrological analysis method for quantifying climate change impact on runoff of the Amu Darya River basin |
| Editors | |
| Year | 2021-04 |
| Journal | International Journal of Climatology |
| Booktitle | |
| Volume | 41 |
| Pages | 3411–3424 |
| URL | https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.7026 |
| DOI | 10.1002/joc.7026 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 6913e6bde84fc4abd7abbcc95eead7cea6c2434e |
| Nr of citations | 16 |
| 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: | HBV
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