Reference:Reference-025405: Difference between revisions

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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
|Year=2023
|Journal=None
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|DOI=10.48550/ARXIV.2301.05427
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Revision as of 14:50, 5 September 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 None
Booktitle None
Volume None
Pages None
URL https://arxiv.org/abs/2301.05427
DOI 10.48550/ARXIV.2301.05427
ISBN
Note Auto downloaded ref at: 2024-09-04


 
Feature reference No
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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:


Model(s) discussed: WRF