A note on dynamic data driven wildfire modeling

J. Mandel; M. Chen; L. P. Franca; C. Johns; A. Puhalskii; J. L. Coen; C. C. Douglas; R. Kremens; A. Vodacek; W. Zhao

doi:10.1007/978-3-540-24688-6_94

A note on dynamic data driven wildfire modeling

J. Mandel, M. Chen, L. P. Franca, C. Johns, A. Puhalskii, J. L. Coen, C. C. Douglas, R. Kremens, A. Vodacek, W. Zhao

Mesoscale & Microscale Meteorology Lab

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

41 Scopus citations

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Marian Bubak, Geert Dick van Albada, Peter M. A. Sloot, Jack J. Dongarra
Publisher	Springer Verlag
Pages	725-731
Number of pages	7
ISBN (Print)	3540221166
DOIs	https://doi.org/10.1007/978-3-540-24688-6_94
State	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3038
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-24688-6_94

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Mandel, J., Chen, M., Franca, L. P., Johns, C., Puhalskii, A., Coen, J. L., Douglas, C. C., Kremens, R., Vodacek, A., & Zhao, W. (2004). A note on dynamic data driven wildfire modeling. In M. Bubak, G. D. van Albada, P. M. A. Sloot, & J. J. Dongarra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 725-731). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3038). Springer Verlag. https://doi.org/10.1007/978-3-540-24688-6_94

Mandel, J. ; Chen, M. ; Franca, L. P. et al. / A note on dynamic data driven wildfire modeling. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Marian Bubak ; Geert Dick van Albada ; Peter M. A. Sloot ; Jack J. Dongarra. Springer Verlag, 2004. pp. 725-731 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "J. Mandel and M. Chen and Franca, \{L. P.\} and C. Johns and A. Puhalskii and Coen, \{J. L.\} and Douglas, \{C. C.\} and R. Kremens and A. Vodacek and W. Zhao",

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Mandel, J, Chen, M, Franca, LP, Johns, C, Puhalskii, A, Coen, JL, Douglas, CC, Kremens, R, Vodacek, A & Zhao, W 2004, A note on dynamic data driven wildfire modeling. in M Bubak, GD van Albada, PMA Sloot & JJ Dongarra (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3038, Springer Verlag, pp. 725-731. https://doi.org/10.1007/978-3-540-24688-6_94

A note on dynamic data driven wildfire modeling. / Mandel, J.; Chen, M.; Franca, L. P. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Marian Bubak; Geert Dick van Albada; Peter M. A. Sloot; Jack J. Dongarra. Springer Verlag, 2004. p. 725-731 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3038).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Mandel, J.

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AU - Franca, L. P.

AU - Johns, C.

AU - Puhalskii, A.

AU - Coen, J. L.

AU - Douglas, C. C.

AU - Kremens, R.

AU - Vodacek, A.

AU - Zhao, W.

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AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Mandel J, Chen M, Franca LP, Johns C, Puhalskii A, Coen JL et al. A note on dynamic data driven wildfire modeling. In Bubak M, van Albada GD, Sloot PMA, Dongarra JJ, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 725-731. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24688-6_94

A note on dynamic data driven wildfire modeling

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