Reference:Reference-025405: Difference between revisions
From CSDMS
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|Title=Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks | |Title=Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks | ||
|Year=2023 | |Year=2023 | ||
|Journal= | |Journal= | ||
|Booktitle= | |Booktitle= | ||
|Volume= | |Volume= | ||
|Pages= | |Pages= | ||
|URL=https://arxiv.org/abs/2301.05427 | |URL=https://arxiv.org/abs/2301.05427 | ||
|DOI=10.48550/ARXIV.2301.05427 | |DOI=10.48550/ARXIV.2301.05427 | ||
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}} | }} | ||
{{RefsInt3 | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |PublicationAnimationsCargo= | ||
}} | }} | ||
Latest revision as of 14:51, 12 November 2024
| Author(s) | Mandel, J.; Hirschi, J.; Kochanski, A. K.; Farguell, A.; Haley, J.; Mallia, D. V.; Shaddy, B.; Oberai, A. A.; Hilburn, K. A.; |
| BibType | journalArticle |
| Title | Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks |
| Editors | |
| Year | 2023 |
| Journal | |
| Booktitle | |
| Volume | |
| Pages | |
| URL | https://arxiv.org/abs/2301.05427 |
| DOI | 10.48550/ARXIV.2301.05427 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-04
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 3daf71b1b1474291ac1090a9efc759f3c9a3d3d7 |
| Nr of citations | 0 |
| 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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