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Data-driven wildfire behavior modelling: focus on front level-set data assimilation
Multi angle
Authors : ... (Author of the conference)
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65K10 - Optimization and variational techniques
80A25 - Combustion, interior ballistics
... (Publisher )
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Abstract :
A front data assimilation system named FIREFLY has been developed at CERFACS in collaboration with the University of Maryland to better estimate the environmental conditions (biomass properties, near-surface wind). We discuss the sequential application of the ensemble Kalman filter (EnKF) in FIREFLY for correcting in a spatially-distributed way, input parameters in order to better track the fire front position. In particular, using a polynomial chaos surrogate to mimic the wildfire spread model in the EnKF algorithm was found in collaboration with LIMSI to be a promising strategy to reduce the computational cost of FIREFLY.
We also discuss the way we represent the distance between simulated and observed fronts. In the CEMRACS project, a new discrepancy operator will be introduced to better represent the match (or mismatch) between simulated fronts and mid-infrared observations in collaboration with INRIA. This front level-set data assimilation derived from image processing and designed for electrophysiology will be extended to wildfire spread monitoring.
MSC Codes : We also discuss the way we represent the distance between simulated and observed fronts. In the CEMRACS project, a new discrepancy operator will be introduced to better represent the match (or mismatch) between simulated fronts and mid-infrared observations in collaboration with INRIA. This front level-set data assimilation derived from image processing and designed for electrophysiology will be extended to wildfire spread monitoring.
65K10 - Optimization and variational techniques
80A25 - Combustion, interior ballistics
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Information on the Video
Language : EnglishAvailable date : 08/08/2016 Conference Date : 02/08/2016 Subseries : Research talks arXiv category : Numerical Analysis ; Physics Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Mathematical Physics Format : MP4 (.mp4) - HD Video Time : 01:05:19 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2016-08-02_Rochoux.mp4 
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Information on the Event
Event Title : CEMRACS: Numerical challenges in parallel scientific computing / CEMRACS : Défis numériques en calcul scientifique parallèleDates : 18/07/2016 - 26/08/2016 Event Year : 2016 Event URL : http://conferences.cirm-math.fr/1430.html
Citation Data
DOI : 10.24350/CIRM.V.19027403Cite this video as: (2016). Data-driven wildfire behavior modelling: focus on front level-set data assimilation. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19027403 URI : http://dx.doi.org/10.24350/CIRM.V.19027403 |
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