Reference:Reference-022186
From CSDMS
Publication information
| Author(s) | Dolatabadi, Neda; Zahraie, Banafsheh; |
| BibType | journalArticle |
| Title | A stochastic deep-learning-based approach for improved streamflow simulation |
| Year | 2024-01 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume | 38 |
| Pages | 107–126 |
| URL | https://link.springer.com/10.1007/s00477-023-02567-1 |
| DOI | 10.1007/s00477-023-02567-1 |
| 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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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 6af282ba1998711124e6bf010febc471c31f85d4 | |
| Nr of citations | 9 | |
| 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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