A wildland fire model with data assimilation

  title={A wildland fire model with data assimilation},
  author={J. Mandel and L. Bennethum and J. Beezley and J. Coen and C. Douglas and Minjeong Kim and A. Vodacek},
  journal={Math. Comput. Simul.},
  • J. Mandel, L. Bennethum, +4 authors A. Vodacek
  • Published 2008
  • Environmental Science, Mathematics, Computer Science
  • Math. Comput. Simul.
  • A wildfire model is formulated based on balance equations for energy and fuel, where the fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled partial differential equations have coefficients that can be approximated from prior measurements of wildfires. An ensemble Kalman filter technique with regularization is then used to assimilate temperatures measured at selected points into running wildfire simulations. The assimilation technique is able to modify the… CONTINUE READING
    123 Citations
    Real-Time Data Driven Wildland Fire Modeling
    • 7
    • PDF
    A Wildland Fire Physical Model Well Suited to Data Assimilation
    • 9
    Towards a real-time data driven wild land fire model
    • J. Mandel, J. Beezley, +4 authors Zhen Wang
    • Computer Science, Physics
    • 2008 IEEE International Symposium on Parallel and Distributed Processing
    • 2008
    • 1
    • PDF
    Data assimilation for wildland fires
    • 76
    • PDF
    Data assimilation applied to combustion
    • 17
    • PDF
    Data assimilation using sequential monte carlo methods in wildfire spread simulation
    • 64
    • PDF


    A Wildfire Model with Data Assimilation
    • 19
    Studying wildfire behavior using FIRETEC
    • 317
    • Highly Influential
    • PDF
    A Coupled AtmosphereFire Model: Convective Feedback on Fire-Line Dynamics
    • 197
    A Dynamic Data Driven Wildland Fire Model
    • 40
    • PDF
    Description of a coupled atmosphere–fire model
    • 163
    • PDF
    Towards a Dynamic Data Driven Application System for Wildfire Simulation
    • 45
    • PDF
    A two-stage ensemble Kalman filter for smooth data assimilation
    • 67
    • PDF
    • 8
    • PDF
    A Note on Dynamic Data Driven Wildfire Modeling
    • 43
    • PDF
    On a wildland fire model with radiation
    • 67