@inproceedings{rodriguez-aserettoAdaptiveSystemForest2008,
  title = {An Adaptive System for Forest Fire Behavior Prediction},
  booktitle = {Computational {{Science}} and {{Engineering}}, 2008. {{CSE}} '08. 11th {{IEEE International Conference}} On},
  author = {Rodriguez-Aseretto, Dario and Cortés, Ana and Margalef, Tomàs and Luque, Emilio},
  date = {2008-07},
  pages = {275--282},
  publisher = {{IEEE / Dept. d' Arquitectura de Computadors i Sistemes Operatius, Univ. Autonoma de Barcelona, Barcelona}},
  doi = {10.1109/cse.2008.15},
  url = {https://doi.org/10.1109/cse.2008.15},
  abstract = {In this paper, we propose a combination of two dynamic data driven application system (DDDAS) methodologies to predict wildfirespsila propagation. Our goal is to build a system that dynamically adapts to constant changes in environmental conditions when a hazard occurs and under strict real-time deadlines. For this purpose, we are on the way of building a parallel wildfire prediction method, which is able to assimilate real-time data to be injected in the prediction process at execution time.},
  isbn = {978-0-7695-3193-9},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-12031487,dynamic-data-driven-application-system,forest-fires,forest-resources,wildfires}
}

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