Reference:Reference-022979: Difference between revisions
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|Title=Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning | |Title=Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning | ||
|Year=2021-08-27 | |Year=2021-08-27 | ||
|Journal= | |Journal= | ||
|Booktitle= | |Booktitle= | ||
|Volume= | |Volume= | ||
|Pages= | |Pages= | ||
|URL=https://gmd.copernicus.org/preprints/gmd-2021-242/gmd-2021-242.pdf | |URL=https://gmd.copernicus.org/preprints/gmd-2021-242/gmd-2021-242.pdf | ||
|DOI=10.5194/gmd-2021-242 | |DOI=10.5194/gmd-2021-242 | ||
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Latest revision as of 11:48, 12 November 2024
| Author(s) | Baki, Harish; Chinta, Sandeep; Balaji, C.; Srinivasan, Balaji; |
| BibType | preprint |
| Title | Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning |
| Editors | |
| Year | 2021-08-27 |
| Journal | |
| Booktitle | |
| Volume | |
| Pages | |
| URL | https://gmd.copernicus.org/preprints/gmd-2021-242/gmd-2021-242.pdf |
| DOI | 10.5194/gmd-2021-242 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-30
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| |
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 04c5c0cba2d24fcc093c1cee3871394920384aaf |
| Nr of citations | 8 |
| 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: | WRF
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