Reference:Reference-025333
From CSDMS
| Author(s) | Ghazvinian, Mohammadvaghef; Delle Monache, Luca; Afzali Gorooh, Vesta; Steinhoff, Daniel; Sengupta, Agniv; Hu, Weiming; Simpson, Matthew; Weihs, Rachel; Papadopoulos, Caroline; Mulrooney, Patrick; Kawzenuk, Brian; Mascioli, Nora; Ralph, Fred Martin; |
| BibType | journalArticle |
| Title | Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events |
| Editors | |
| Year | 2024-07 |
| Journal | Monthly Weather Review |
| Booktitle | None |
| Volume | 152 |
| Pages | 1587–1605 |
| URL | https://journals.ametsoc.org/view/journals/mwre/152/7/MWR-D-23-0277.1.xml |
| DOI | 10.1175/MWR-D-23-0277.1 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-04
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 3a5b8fdc9833fbbdef0aa066f043024569d80742 |
| Nr of citations | 1 |
| 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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