A global wildfire dataset for the analysis of fire regimes and fire behaviour T Artés, D Oom, D De Rigo, TH Durrant, P Maianti, G Libertà, ... Scientific data 6 (1), 296, 2019 | 180 | 2019 |
Wildfire spread prediction and assimilation for FARSITE using ensemble Kalman filtering T Srivas, T Artés, RA De Callafon, I Altintas Procedia Computer Science 80, 897-908, 2016 | 43 | 2016 |
Forest fires in Portugal in 2017 J San-Miguel-Ayanz, D Oom, T Artes, DX Viegas, P Fernandes, N Faivre, ... Science for disaster risk management, 413-430, 2020 | 40 | 2020 |
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi‐core platforms T Artés, A Cencerrado, A Cortés, T Margalef Concurrency and Computation: Practice and Experience 29 (9), e3837, 2017 | 34 | 2017 |
Relieving the effects of uncertainty in forest fire spread prediction by hybrid mpi-openmp parallel strategies T Artés, A Cencerrado, A Cortés, T Margalef Procedia Computer Science 18, 2278-2287, 2013 | 34 | 2013 |
Forest fire propagation prediction based on overlapping DDDAS forecasts T Artes, A Cardil, A Cortés, T Margalef, D Molina, L Pelegrín, J Ramírez Procedia Computer Science 51, 1623-1632, 2015 | 28 | 2015 |
Automatic fire perimeter determination using MODIS hotspots information N Chiaraviglio, T Artés, R Bocca, J López, A Gentile, JSM Ayanz, A Cortés, ... 2016 IEEE 12th International Conference on e-Science (e-Science), 414-423, 2016 | 18 | 2016 |
Towards a dynamic data driven wildfire behavior prediction system at european level T Artés, A Cencerrado, A Cortés, T Margalef, D Rodríguez-Aseretto, ... Procedia Computer Science 29, 1216-1226, 2014 | 16 | 2014 |
Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments T Artés, A Cencerrado, A Cortés, T Margalef International Journal of Geographical Information Science 30 (3), 594-611, 2016 | 15 | 2016 |
A high performance computing framework for continental-scale forest fire spread prediction C Brun, T Artés, A Cencerrado, T Margalef, A Cortés Procedia Computer Science 108, 1712-1721, 2017 | 14 | 2017 |
Relieving uncertainty in forest fire spread prediction by exploiting multicore architectures A Cencerrado, T Artés, A Cortés, T Margalef Procedia Computer Science 51, 1752-1761, 2015 | 13 | 2015 |
Large forest fire spread prediction: Data and computational science T Artés, A Cortés, T Margalef Procedia Computer Science 80, 909-918, 2016 | 10 | 2016 |
Enhancing computational efficiency on forest fire forecasting by time-aware genetic algorithms T Artés, A Cencerrado, A Cortés, T Margalef The Journal of Supercomputing 71, 1869-1881, 2015 | 10 | 2015 |
Non-supervised method for early forest fire detection and rapid mapping T Artés, R Boca, G Liberta, J San-Miguel Fifth International Conference on Remote Sensing and Geoinformation of the …, 2017 | 8 | 2017 |
Error function impact in dynamic data-driven framework applied to forest fire spread prediction C Carrillo, T Artés, A Cortés, T Margalef Procedia Computer Science 80, 418-427, 2016 | 8 | 2016 |
Core allocation policies on multicore platforms to accelerate forest fire spread predictions T Artés, A Cencerrado, A Cortés, T Margalef Parallel Processing and Applied Mathematics: 10th International Conference …, 2014 | 5 | 2014 |
Wildfire–atmosphere interaction index for extreme-fire behaviour T Artés, M Castellnou, T Houston Durrant, J San-Miguel Natural Hazards and Earth System Sciences 22 (2), 509-522, 2022 | 4 | 2022 |
Stability of Atmospheric Flow and Low-Level Jets Influencing Forest Fire Behavior—An EFFIS Report T Petroliagkis, G Liberta, T Artes, D Rodriguez-Aseretto, M Di Leo, ... EUR—Sci. Tech. Res. Ser 27362, 30, 2015 | 4 | 2015 |
Wildfire-Atmosphere Interaction Index for Extreme Fire behaviour T Artés, M Castellnou, T Houston Durrant, J San-Miguel Natural Hazards and Earth System Sciences Discussions 2021, 1-19, 2021 | 1 | 2021 |
Wildfires in the Amazon region 2019 T Artes, D Oom, J San-Miguel-Ayanz JRC Technical Report. Online: EU: n julkaisutoimisto, 2020 | 1 | 2020 |