Reference:Reference-021332
From CSDMS
| 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
| |
| |
||
| Highlighted paper on group site | ||
| Highlight text | ||
| Highlight image | ||
| Which groups | ||
| 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: |
| |
| Model(s) discussed: | HBV
|
