State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment-Reference-Cited by-同舟云学术

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State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment

Published:2019-04 Issue: Volume:105 Page:286-299
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Zhang Cong,Collin Annabelle,Moireau Philippe^ORCID,Trouvé Arnaud,Rochoux Mélanie C.

Funder

NSF

University of Maryland

SMAI

LEFE/INSU

LabEx AMIES

ANR

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Safety, Risk, Reliability and Quality,General Materials Science,General Chemistry

Reference51 articles.

1. Applied Optimal Estimation;Gelb,1974

2. Inverse Problem Theory and Methods for Model Parameter Estimation;Tarantola,1987

3. Atmospheric Data Analysis;Daley,1991

4. Data Assimilation: the Ensemble Kalman Filter;Evensen,2007

5. Data assimilation in the geosciences: an overview of methods, issues, and perspectives;Carrassi;Wiley Interdisciplinary Reviews: Clim. Change,2018

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