Reference:Reference-022186
From CSDMS
| Author(s) | Dolatabadi, Neda; Zahraie, Banafsheh; |
| BibType | journalArticle |
| Title | A stochastic deep-learning-based approach for improved streamflow simulation |
| Editors | |
| Year | 2024-01 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Booktitle | None |
| Volume | 38 |
| Pages | 107–126 |
| URL | https://link.springer.com/10.1007/s00477-023-02567-1 |
| DOI | 10.1007/s00477-023-02567-1 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 6af282ba1998711124e6bf010febc471c31f85d4 |
| CorpusID | {{{CorpusID}}} |
| Nr of citations | 2 |
| 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: | VIC
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