Ph.D. THESIS

● Rochoux Mélanie: Vers une meilleure prévision de la propagation d'incendies de forêt: évaluation de modèles et assimilation de données, Ph.D. Thesis (written in English: Towards a more comprehensive monitoring of wildfire spread – Contributions of model evaluation and data assimilation strategies), Ecole Centrale Paris (France), 2014.

JOURNAL ARTICLES

● Rochoux, M.C., Emery, C., Ricci, S., Cuenot, B. & Trouvé, A. (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, Natural Hazards and Earth System Sciences, Special Issue: Numerical Wildland Combustion, from the flame to the atmosphere, vol. 15, pp. 1721-1739, doi: 10.5194/nhess-15-1721-2015, published.

● Rochoux, M.C., Ricci, S., Lucor, D., Cuenot, B., and Trouvé, A. (2014) Towards predictive data-driven simulations of wildfire spread. Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation, Natural Hazards and Earth System Sciences, Special Issue: Numerical Wildland Combustion, from the flame to the atmosphere, vol. 14, pp. 2951-2973, doi: 10.5194/nhess-14-2951-2014, published.

● da Silva, W.B., Rochoux, M.C., Orlande, H., Colaço, M., Fudym, O., El Hafi, M., Cuenot, B., and Ricci, S. (2014) Application of particle filters to regional-scale wildfire spread, High Temperatures-High Pressures, International Journal of Thermophysical Properties Research, 43, 415-440, published.

● Rochoux, M.C., Delmotte, B., Cuenot, B., Ricci, S., and Trouvé, A. (2013) Regional-scale simulations of wildland fire spread informed by real-time flame front observations, Proceedings of the Combustion Institute, 34, 2641-2647, doi: 10.1016/j.proci.2012.06.090, published.

● Rochoux, M.C., Cuenot, B., Ricci, S., Trouvé, A., Delmotte, B., Massart, S., Paoli, R. and Paugam, R. (2013) Data Assimilation Applied to Combustion, 341, 266-276, doi:10.1016/j.crme.2012.10.011, published.

CONFERENCE PROCEEDINGS

● Rochoux, M.C., Emery, C., Ricci, S., Cuenot, B., and Trouvé, A. (2014) Comparative study of parameter estimation and state estimation approaches in data-driven wildfire spread modeling, VII International Conference on Forest Fire Research, Coimbra (Portugal), 14-20 November.

● Rochoux, M.C., Emery, C., Ricci, S., Cuenot, B., and Trouvé, A. (2014) Towards predictive simulation of wildfire spread at regional scale using ensemble-based data assimilation to correct the fire front position, in Fire Safety Science – Proceedings of the Eleventh International Symposium, International Association for Fire Safety Science, 10-14 February.

 Sheldon Tieszen Student Award by the International Association for Fire Safety Science: best student paper in a broad fire research area of fire physics and fire modeling.

Photo: Mélanie Rochoux & Arnaud Trouvé.

● da Silva, W.B., Rochoux, M.C., Orlande, H., Colaço, M., Fudym, O., El Hafi, M., Cuenot, B., and Ricci, S. (2013) Application of particle filters in moving frontier problems, 4th Inverse Problems, Design and Optimization Symposium (IPDO), 26-28 June.

● Rochoux, M.C., Ricci, S., Lucor, D., Cuenot, B., Trouvé, A., and Bart, J.-M. (2012) Towards predictive simulation of wildfire spread using a reduced-cost ensemble Kalman filter based on polynomial chaos approximation, in Proceedings of the Summer Program, Center for Turbulence Research, NASA AMES Stanford University, June/July 2012.

Photo: Participants at the Summer Program 2012, Center for Turbulence Research.

Credit: Stanford University.