Reference:Reference-022274
From CSDMS
Publication information
| Author(s) | Faramarzpour, Mahtab; Saremi, Ali; Khosrojerdi, Amir; Babazadeh, Hossain; |
| BibType | journalArticle |
| Title | Evaluating machine learning models in predicting GRI drought indicators (case study: Ajabshir area) |
| Year | 2024-09 |
| Journal | Applied Water Science |
| Volume | 14 |
| URL | https://link.springer.com/10.1007/s13201-024-02224-0 |
| DOI | 10.1007/s13201-024-02224-0 |
| Note | Auto downloaded ref at: 2024-09-04 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
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gold | cc-by | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
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| link | repository | cc-by-sa | submittedVersion | |
| link | publisher | cc-by | publishedVersion |
Additional information
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| Highlighted paper on group site | No | |
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| Which groups | ||
| Feature reference | No | |
| Semantic_ID | 5682125307eed7b84353d664c05a09a74eb1b840 | |
| Nr of citations | 4 | |
| 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: | MODFLOW
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