A Note on Dynamic Data Driven Wildfire Modeling
J. Mandel1, M. Chen1, L.P. Franca1, C. Johns1, A. Puhalskii1, J.L. Coen2, C.C. Douglas3, R. Kremens4, A. Vodacek4, and W. Zhao5
1University of Colorado Denver, Denver, CO 80217-3364, USA
2National Center for Atmospheric Research, Boulder, CO 80307-3000,
3University of Kentucky, Lexington, KY 40506-0045, USA
4Rochester Institute of Technology, Rochester, NY 14623-5603, USA
5Texas A&M University, College Station, TX 77843-1112, USA
Abstract. A proposed system for real-time modeling of wildfires is described. The system involves numerical weather and fire prediction, automated data acquisition from Internet sources, and input from aerial photographs and sensors. The system will be controlled by a non-Gaussian ensemble filter capable of assimilating out-of-order data. The computational model will run on remote supercomputers, with visualization on PDAs in the field connected to the Internet via a satellite.
LNCS 3038, pp. 725-731.