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Mélanie Rochoux
Mélanie Rochoux
Research Scientist, CECI, CERFACS-CNRS, France
Verified email at centraliens.net
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Cited by
Cited by
Year
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
MC Rochoux, S Ricci, D Lucor, B Cuenot, A Trouvé
Natural Hazards and Earth System Sciences 14, 2951-2973, 2014
1172014
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
MC Rochoux, C Emery, S Ricci, B Cuenot, A Trouvé
Natural Hazards and Earth System Sciences 15 (8), 1721-1739, 2015
772015
Regional-scale simulations of wildland fire spread informed by real-time flame front observations
MC Rochoux, B Delmotte, B Cuenot, S Ricci, A Trouvé
Proceedings of the Combustion Institute 34 (2), 2641-2647, 2013
712013
Comparison of polynomial chaos and Gaussian process surrogates for uncertainty quantification and correlation estimation of spatially distributed open-channel steady flows
PT Roy, N El Moçayd, S Ricci, JC Jouhaud, N Goutal, M De Lozzo, ...
Stochastic environmental research and risk assessment 32, 1723-1741, 2018
422018
Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale experiment
C Zhang, M Rochoux, W Tang, M Gollner, JB Filippi, A Trouvé
Fire Safety Journal 91, 758-767, 2017
372017
Reduction of the uncertainties in the water level-discharge relation of a 1D hydraulic model in the context of operational flood forecasting
J Habert, S Ricci, E Le Pape, O Thual, A Piacentini, N Goutal, G Jonville, ...
Journal of Hydrology 532, 52-64, 2016
372016
Ensemble-based data assimilation for operational flood forecasting–On the merits of state estimation for 1D hydrodynamic forecasting through the example of the “Adour Maritime …
S Barthélémy, S Ricci, MC Rochoux, E Le Pape, O Thual
Journal of Hydrology 552, 210-224, 2017
342017
Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters
CM Emery, S Biancamaria, A Boone, S Ricci, MC Rochoux, V Pedinotti, ...
Hydrology and Earth System Sciences 24 (5), 2207-2233, 2020
322020
Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop
M Gollner, A Trouve, I Altintas, J Block, R de Callafon, C Clements, ...
32*2015
Application of particle filters to regional-scale wildfire spread
WB da Silva, MC Rochoux, H Orlande, M Colaço, O Fudym, M El Hafi, ...
High Temperatures-High Pressures, International Journal of Thermophysical …, 2014
322014
On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: application to turbulence and fire-spotting model in wildland fire simulators
A Trucchia, V Egorova, G Pagnini, MC Rochoux
Communications in Nonlinear Science and Numerical Simulation 73, 120-145, 2019
262019
Front shape similarity measure for shape-oriented sensitivity analysis and data assimilation for Eikonal equation
MC Rochoux, A Collin, C Zhang, A Trouvé, D Lucor, P Moireau
ESAIM: Proceedings and Surveys 63, 258-279, 2018
252018
Data assimilation applied to combustion
MC Rochoux, B Cuenot, S Ricci, A Trouvé, B Delmotte, S Massart, R Paoli, ...
Comptes Rendus Mécanique 341 (1-2), 266-276, 2013
252013
Front shape similarity measure for data-driven simulations of wildland fire spread based on state estimation: Application to the RxCADRE field-scale experiment
C Zhang, A Collin, P Moireau, A Trouvé, MC Rochoux
Proceedings of the Combustion Institute 37 (3), 4201-4209, 2019
232019
Towards predictive simulation of wildfire spread at regional scale using ensemble-based data assimilation to correct the fire front position
MC Rochoux, C Emery, S Ricci, B Cuenot, A Trouvé
Fire Safety Science - Proceedings of the Eleventh International Symposium …, 2014
202014
Vers une meilleure prévision de la propagation d'incendies de forêt: évaluation de modèles et assimilation de données
M Rochoux
Ecole centrale de Paris, Châtenay-Malabry, France, 2014
19*2014
Temporal Variance-Based Sensitivity Analysis of the River-Routing Component of the Large-Scale Hydrological Model ISBA–TRIP: Application on the Amazon Basin
CM Emery, S Biancamaria, A Boone, PA Garambois, S Ricci, ...
Journal of Hydrometeorology 17 (12), 3007-3027, 2016
172016
Uncertainty quantification for river flow simulation applied to a real test case: The garonne valley
N Goutal, C Goeury, R Ata, S Ricci, NE Mocayd, M Rochoux, H Oubanas, ...
Advances in Hydroinformatics: SimHydro 2017-Choosing The Right Model in …, 2018
162018
Polynomial surrogates for open-channel flows in random steady state
N El Moçayd, S Ricci, N Goutal, MC Rochoux, S Boyaval, C Goeury, ...
Environmental Modeling & Assessment 23, 309-331, 2018
142018
Towards predictive simulation of wildfire spread using a reduced-cost Ensemble Kalman Filter based on Polynomial Chaos approximation
MC Rochoux, S Ricci, D Lucor, B Cuenot, A Trouvé, JM Bart
Proceedings of the Summer Program, Center for Turbulence Research, NASA AMES …, 2012
132012
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