Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction

Authors:
Roque Rodríguez;Ana Cortés;Tomás Margalef
Affiliations:
Departament d' Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193;Departament d' Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193;Departament d' Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Bellaterra, Spain 08193
Venue:
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Year:
2009

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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.