Reference:Reference-022274
From CSDMS
| 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) |
| Editors | |
| Year | 2024-09 |
| Journal | Applied Water Science |
| Booktitle | None |
| Volume | 14 |
| Pages | None |
| URL | https://link.springer.com/10.1007/s13201-024-02224-0 |
| DOI | 10.1007/s13201-024-02224-0 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-04
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 5682125307eed7b84353d664c05a09a74eb1b840 |
| CorpusID | 271988490 |
| Nr of citations | 0 |
| 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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