Reference:Reference-025333: Difference between revisions
From CSDMS
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|Year=2024-07 | |Year=2024-07 | ||
|Journal=Monthly Weather Review | |Journal=Monthly Weather Review | ||
|Booktitle= | |Booktitle= | ||
|Volume=152 | |Volume=152 | ||
|Pages=1587–1605 | |Pages=1587–1605 | ||
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Latest revision as of 11:52, 12 November 2024
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 | |
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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