Reference:Reference-021332
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Publication information
| 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 |
| Year | 2021-04 |
| Journal | International Journal of Climatology |
| Volume | 41 |
| Pages | 3411–3424 |
| URL | https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.7026 |
| DOI | 10.1002/joc.7026 |
| 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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| Feature reference | No | |
| Semantic_ID | 6913e6bde84fc4abd7abbcc95eead7cea6c2434e | |
| Nr of citations | 20 | |
| 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?: | ||
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| Model(s) discussed: | HBV
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