Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction. Rodriguez-Aseretto, D., Cortés, A., & Margalef, T. In Allen, G., Nabrzyski, J., Seidel, E., van Albada, G., Dongarra, J., & Sloot, P., editors, Computational Science - ICCS 2009, volume 5545, of Lecture Notes in Computer Science, pages 489–499. Springer Berlin Heidelberg.
Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction [link]Paper  doi  abstract   bibtex   
This work presents a novel idea for forest fire prediction, based on Dynamic Data Driven Application Systems. We developed a system capable of assimilating data at execution time, and conduct simulation according to those measurements. We used a conventional simulator, and created a methodology capable of removing parameter uncertainty. To test this methodology, several experiments were performed based on southern California fires.
@incollection{rodriguez-aserettoInjectingDynamicRealTime2009,
  title = {Injecting {{Dynamic Real}}-{{Time Data}} into a {{DDDAS}} for {{Forest Fire Behavior Prediction}}},
  booktitle = {Computational {{Science}} - {{ICCS}} 2009},
  author = {Rodriguez-Aseretto, Dario and Cortés, Ana and Margalef, Tomás},
  editor = {Allen, Gabrielle and Nabrzyski, Jarosław and Seidel, Edward and van Albada, GeertDick and Dongarra, Jack and Sloot, PeterM},
  date = {2009},
  volume = {5545},
  pages = {489--499},
  publisher = {{Springer Berlin Heidelberg}},
  doi = {10.1007/978-3-642-01973-9\\_55},
  url = {https://doi.org/10.1007/978-3-642-01973-9_55},
  abstract = {This work presents a novel idea for forest fire prediction, based on Dynamic Data Driven Application Systems. We developed a system capable of assimilating data at execution time, and conduct simulation according to those measurements. We used a conventional simulator, and created a methodology capable of removing parameter uncertainty. To test this methodology, several experiments were performed based on southern California fires.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13294209,dddas,dynamic-data-driven-application-system,forest-fires,forest-resources,urgent-hpc},
  options = {useprefix=true},
  series = {Lecture {{Notes}} in {{Computer Science}}}
}

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