Articles | Volume 15, issue 8
https://doi.org/10.5194/nhess-15-1721-2015
https://doi.org/10.5194/nhess-15-1721-2015
Research article
 | 
04 Aug 2015
Research article |  | 04 Aug 2015

Towards predictive data-driven simulations of wildfire spread – Part II: Ensemble Kalman Filter for the state estimation of a front-tracking simulator of wildfire spread

M. C. Rochoux, C. Emery, S. Ricci, B. Cuenot, and A. Trouvé

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Short summary
This paper, the second part in a series of two articles, aims at presenting a data-driven modeling strategy for forecasting wildfire spread scenarios based on the assimilation of the observed fire front location and on the sequential correction of model parameters or model state. The objective here is to sequentially update the fire front location in order to provide a more reliable initial condition for further model integration and forecast.
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