Reference:Reference-023202
From CSDMS
Publication information
| Author(s) | Lockwood, Joseph W.; Loridan, Thomas; Lin, Ning; Oppenheimer, Michael; Hannah, Nic; |
| BibType | journalArticle |
| Title | A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation |
| Year | 2024-01 |
| Journal | Journal of Hydrometeorology |
| Volume | 25 |
| Pages | 207–221 |
| URL | https://journals.ametsoc.org/view/journals/hydr/25/1/JHM-D-23-0065.1.xml |
| DOI | 10.1175/JHM-D-23-0065.1 |
| Note | Auto downloaded ref at: 2024-08-30 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-10-15 |
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 0f7d6e213b951889f0cb03aa78edc84af38c6cc5 | |
| 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: | WRF
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