A dynamic data driven wildland fire model

Jan Mandel; Jonathan D. Beezley; Lynn S. Bennethum; Soham Chakraborty; Janice L. Coen; Craig C. Douglas; Jay Hatcher; Minjeong Kim; Anthony Vodacek

doi:10.1007/978-3-540-72584-8_137

A dynamic data driven wildland fire model

Jan Mandel
, Jonathan D. Beezley
, Lynn S. Bennethum
, Soham Chakraborty
, Janice L. Coen
, Craig C. Douglas
, Jay Hatcher
, Minjeong Kim
, Anthony Vodacek

Mesoscale & Microscale Meteorology Lab

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

32 Scopus citations

Abstract

We present an overview of an ongoing project to build DDDAS to use all available data for a short term wildfire prediction. The project involves new data assimilation methods to inject data into a running simulation, a physics based model coupled with weather prediction, on-site data acquisition using sensors that can survive a passing fire, and on-line visualization using Google Earth.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I
Publisher	Springer Verlag
Pages	1042-1049
Number of pages	8
ISBN (Print)	9783540725831
DOIs	https://doi.org/10.1007/978-3-540-72584-8_137
State	Published - 2007
Event	7th International Conference on Computational Science, ICCS 2007 - Beijing, China Duration: May 27 2007 → May 30 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4487 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computational Science, ICCS 2007
Country/Territory	China
City	Beijing
Period	05/27/07 → 05/30/07

Access to Document

10.1007/978-3-540-72584-8_137

Cite this

Mandel, J., Beezley, J. D., Bennethum, L. S., Chakraborty, S., Coen, J. L., Douglas, C. C., Hatcher, J., Kim, M., & Vodacek, A. (2007). A dynamic data driven wildland fire model. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I (pp. 1042-1049). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-72584-8_137

@inproceedings{7aaecd16303d4401b34bb9a2c2abb677,

title = "A dynamic data driven wildland fire model",

abstract = "We present an overview of an ongoing project to build DDDAS to use all available data for a short term wildfire prediction. The project involves new data assimilation methods to inject data into a running simulation, a physics based model coupled with weather prediction, on-site data acquisition using sensors that can survive a passing fire, and on-line visualization using Google Earth.",

author = "Jan Mandel and Beezley, \{Jonathan D.\} and Bennethum, \{Lynn S.\} and Soham Chakraborty and Coen, \{Janice L.\} and Douglas, \{Craig C.\} and Jay Hatcher and Minjeong Kim and Anthony Vodacek",

year = "2007",

doi = "10.1007/978-3-540-72584-8\_137",

language = "English",

isbn = "9783540725831",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "1042--1049",

booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I",

address = "Germany",

note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",

}

Mandel, J, Beezley, JD, Bennethum, LS, Chakraborty, S, Coen, JL, Douglas, CC, Hatcher, J, Kim, M & Vodacek, A 2007, A dynamic data driven wildland fire model. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4487 LNCS, Springer Verlag, pp. 1042-1049, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 05/27/07. https://doi.org/10.1007/978-3-540-72584-8_137

A dynamic data driven wildland fire model. / Mandel, Jan; Beezley, Jonathan D.; Bennethum, Lynn S. et al.
Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. Springer Verlag, 2007. p. 1042-1049 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4487 LNCS).

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

TY - GEN

T1 - A dynamic data driven wildland fire model

AU - Mandel, Jan

AU - Beezley, Jonathan D.

AU - Bennethum, Lynn S.

AU - Chakraborty, Soham

AU - Coen, Janice L.

AU - Douglas, Craig C.

AU - Hatcher, Jay

AU - Kim, Minjeong

AU - Vodacek, Anthony

PY - 2007

Y1 - 2007

N2 - We present an overview of an ongoing project to build DDDAS to use all available data for a short term wildfire prediction. The project involves new data assimilation methods to inject data into a running simulation, a physics based model coupled with weather prediction, on-site data acquisition using sensors that can survive a passing fire, and on-line visualization using Google Earth.

AB - We present an overview of an ongoing project to build DDDAS to use all available data for a short term wildfire prediction. The project involves new data assimilation methods to inject data into a running simulation, a physics based model coupled with weather prediction, on-site data acquisition using sensors that can survive a passing fire, and on-line visualization using Google Earth.

UR - https://www.scopus.com/pages/publications/37249055146

U2 - 10.1007/978-3-540-72584-8_137

DO - 10.1007/978-3-540-72584-8_137

M3 - Conference contribution

AN - SCOPUS:37249055146

SN - 9783540725831

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

SP - 1042

EP - 1049

BT - Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I

PB - Springer Verlag

T2 - 7th International Conference on Computational Science, ICCS 2007

Y2 - 27 May 2007 through 30 May 2007

ER -

Mandel J, Beezley JD, Bennethum LS, Chakraborty S, Coen JL, Douglas CC et al. A dynamic data driven wildland fire model. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I. Springer Verlag. 2007. p. 1042-1049. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-72584-8_137

A dynamic data driven wildland fire model

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