Reference:Reference-032049
From CSDMS
| Author(s) | Rodrigues, João M. F.; Cardoso, Pedro J. S.; Monteiro, Jânio; Lam, Roberto; Krzhizhanovskaya, Valeria V.; Lees, Michael H.; Dongarra, Jack J.; Sloot, Peter M.A.; Moosavi, Azam; Rao, Vishwas; Sandu, Adrian; |
| BibType | bookSection |
| Title | A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models |
| Editors | |
| Year | 2019 |
| Journal | None |
| Booktitle | Computational Science – ICCS 2019 |
| Volume | 11539 |
| Pages | 126–140 |
| URL | https://link.springer.com/10.1007/978-3-030-22747-0_10 |
| DOI | None |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-08
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | e84a148368349d658b9036f287283dbbc6f84110 |
| 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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