On a wildland fire model with radiation MI Asensio, L Ferragut International Journal for Numerical Methods in Engineering 54 (1), 137-157, 2002 | 122 | 2002 |
Efficient refinement/derefinement algorithm of nested meshes to solve evolution problems L Ferragut, R Montenegro, A Plaza Communications in numerical methods in engineering 10 (5), 403-412, 1994 | 80 | 1994 |
A numerical method for solving convection–reaction–diffusion multivalued equations in fire spread modelling L Ferragut, MI Asensio, S Monedero Advances in Engineering Software 38 (6), 366-371, 2007 | 56 | 2007 |
Adaptive strategies using standard and mixed finite elements for wind field adjustment G Winter, G Montero, L Ferragut, R Montenegro Solar energy 54 (1), 49-56, 1995 | 56 | 1995 |
A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model D Prieto Herráez, MI Asensio Sevilla, L Ferragut Canals, ... International Journal of Geographical Information Science 31 (11), 2142-2163, 2017 | 47 | 2017 |
A convection model for fire spread simulation MI Asensio, L Ferragut, J Simon Applied Mathematics Letters 18 (6), 673-677, 2005 | 47 | 2005 |
Application of a nonlinear evolution model to fire propagation R Montenegro, A Plaza, L Ferragut, MI Asensio Nonlinear Analysis 30 (5), 2873-2882, 1997 | 42 | 1997 |
The evolution of a wildland forest fire front FJ Serón, D Gutiérrez, J Magallón, L Ferragut, MI Asensio The Visual Computer 21, 152-169, 2005 | 40 | 2005 |
An improved derefinement algorithm of nested meshes A Plaza, R Montenegro, L Ferragut Advances in Engineering Software 27 (1-2), 51-57, 1996 | 39 | 1996 |
High definition local adjustment model of 3D wind fields performing only 2D computations L Ferragut, MI Asensio, J Simon International Journal for Numerical Methods in Biomedical Engineering 27 (4 …, 2011 | 38 | 2011 |
Space-time adaptive algorithm for the mixed parabolic problem JM Cascón, L Ferragut, MI Asensio Numerische Mathematik 103, 367-392, 2006 | 38 | 2006 |
Modelling radiation and moisture content in fire spread L Ferragut, MI Asensio, S Monedero Communications in Numerical Methods in Engineering 23 (9), 819-833, 2007 | 36 | 2007 |
Comparison between 2.5-D and 3-D realistic models for wind field adjustment L Ferragut, R Montenegro, G Montero, E Rodríguez, MI Asensio, ... Journal of Wind Engineering and Industrial Aerodynamics 98 (10-11), 548-558, 2010 | 35 | 2010 |
A wildland fire physical model well suited to data assimilation L Ferragut, MI Asensio, JM Cascón, D Prieto Pure and Applied Geophysics 172, 121-139, 2015 | 27 | 2015 |
Sensitivity analysis and parameter adjustment in a simplified physical wildland fire model D Prieto, MI Asensio, L Ferragut, JM Cascón Advances in Engineering Software 90, 98-106, 2015 | 21 | 2015 |
Local wind speed forecasting based on WRF-HDWind coupling D Prieto-Herráez, L Frías-Paredes, JM Cascón, S Lagüela-López, ... Atmospheric Research 248, 105219, 2021 | 19 | 2021 |
An efficient algorithm for solving a multi-layer convection–diffusion problem applied to air pollution problems L Ferragut, MI Asensio, JM Cascón, D Prieto, J Ramírez Advances in Engineering Software 65, 191-199, 2013 | 18 | 2013 |
Modelling of convective phenomena in forest fire MI Asensio, L Ferragut, J Simon RACSAM-Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales …, 2002 | 15 | 2002 |
Solution of linear systems from an optimal control problem arising in wind simulation M Benzi, L Ferragut, M Pennacchio, V Simoncini Numerical Linear Algebra with Applications 17 (6), 895-915, 2010 | 13 | 2010 |
A reduced basis for a local high definition wind model JM Cascón, L Ferragut, E Hernández Computer Methods in Applied Mechanics and Engineering 311, 438-456, 2016 | 12 | 2016 |