DDDAS approaches to wildland fire modeling and contaminant tracking

Craig C. Douglas; Robert A. Lodder; Richard E. Ewing; Yalchin Efendiev; Guan Qin; Janice Coen; Mauricio Kritz; Jonathan D. Beezley; Jan Mandel; Mohamed Iskandarani; Anthony Vodacek; Gundolf Haase

doi:10.1109/WSC.2006.323011

DDDAS approaches to wildland fire modeling and contaminant tracking

Craig C. Douglas, Robert A. Lodder, Richard E. Ewing, Yalchin Efendiev, Guan Qin, Janice Coen, Mauricio Kritz, Jonathan D. Beezley, Jan Mandel, Mohamed Iskandarani, Anthony Vodacek, Gundolf Haase

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

28 Scopus citations

Abstract

We report on two ongoing efforts to build Dynamic Data Driven Application Systems (DDDAS) for (1) short-range forecasting of weather and wildfire behavior from real time weather data, images, and sensor streams, and (2) contaminant identification and tracking in water bodies. Both systems change their forecasts as new data is received. We use one long term running simulation that self corrects using out of order, imperfect sensor data. The DDDAS versions replace codes that were previously run using data only in initial conditions. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process.

Original language	English (US)
Title of host publication	Proceedings of the 2006 Winter Simulation Conference, WSC
Pages	2117-2124
Number of pages	8
DOIs	https://doi.org/10.1109/WSC.2006.323011
State	Published - 2006
Externally published	Yes
Event	2006 Winter Simulation Conference, WSC - Monterey, CA, United States Duration: Dec 3 2006 → Dec 6 2006

Publication series

Name	Proceedings - Winter Simulation Conference
ISSN (Print)	0891-7736

Other

Other	2006 Winter Simulation Conference, WSC
Country/Territory	United States
City	Monterey, CA
Period	12/3/06 → 12/6/06

ASJC Scopus subject areas

Software
Modeling and Simulation
Computer Science Applications

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10.1109/WSC.2006.323011

Cite this

Douglas, C. C., Lodder, R. A., Ewing, R. E., Efendiev, Y., Qin, G., Coen, J., Kritz, M., Beezley, J. D., Mandel, J., Iskandarani, M., Vodacek, A., & Haase, G. (2006). DDDAS approaches to wildland fire modeling and contaminant tracking. In Proceedings of the 2006 Winter Simulation Conference, WSC (pp. 2117-2124). Article 4117859 (Proceedings - Winter Simulation Conference). https://doi.org/10.1109/WSC.2006.323011

@inproceedings{0b34713eed964a17b0c5d3645f03e3be,

title = "DDDAS approaches to wildland fire modeling and contaminant tracking",

abstract = "We report on two ongoing efforts to build Dynamic Data Driven Application Systems (DDDAS) for (1) short-range forecasting of weather and wildfire behavior from real time weather data, images, and sensor streams, and (2) contaminant identification and tracking in water bodies. Both systems change their forecasts as new data is received. We use one long term running simulation that self corrects using out of order, imperfect sensor data. The DDDAS versions replace codes that were previously run using data only in initial conditions. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process.",

author = "Douglas, {Craig C.} and Lodder, {Robert A.} and Ewing, {Richard E.} and Yalchin Efendiev and Guan Qin and Janice Coen and Mauricio Kritz and Beezley, {Jonathan D.} and Jan Mandel and Mohamed Iskandarani and Anthony Vodacek and Gundolf Haase",

year = "2006",

doi = "10.1109/WSC.2006.323011",

language = "English (US)",

isbn = "1424405017",

series = "Proceedings - Winter Simulation Conference",

pages = "2117--2124",

booktitle = "Proceedings of the 2006 Winter Simulation Conference, WSC",

note = "2006 Winter Simulation Conference, WSC ; Conference date: 03-12-2006 Through 06-12-2006",

}

Douglas, CC, Lodder, RA, Ewing, RE, Efendiev, Y, Qin, G, Coen, J, Kritz, M, Beezley, JD, Mandel, J, Iskandarani, M, Vodacek, A & Haase, G 2006, DDDAS approaches to wildland fire modeling and contaminant tracking. in Proceedings of the 2006 Winter Simulation Conference, WSC., 4117859, Proceedings - Winter Simulation Conference, pp. 2117-2124, 2006 Winter Simulation Conference, WSC, Monterey, CA, United States, 12/3/06. https://doi.org/10.1109/WSC.2006.323011

DDDAS approaches to wildland fire modeling and contaminant tracking. / Douglas, Craig C.; Lodder, Robert A.; Ewing, Richard E. et al.
Proceedings of the 2006 Winter Simulation Conference, WSC. 2006. p. 2117-2124 4117859 (Proceedings - Winter Simulation Conference).

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

TY - GEN

T1 - DDDAS approaches to wildland fire modeling and contaminant tracking

AU - Douglas, Craig C.

AU - Lodder, Robert A.

AU - Ewing, Richard E.

AU - Efendiev, Yalchin

AU - Qin, Guan

AU - Coen, Janice

AU - Kritz, Mauricio

AU - Beezley, Jonathan D.

AU - Mandel, Jan

AU - Iskandarani, Mohamed

AU - Vodacek, Anthony

AU - Haase, Gundolf

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AB - We report on two ongoing efforts to build Dynamic Data Driven Application Systems (DDDAS) for (1) short-range forecasting of weather and wildfire behavior from real time weather data, images, and sensor streams, and (2) contaminant identification and tracking in water bodies. Both systems change their forecasts as new data is received. We use one long term running simulation that self corrects using out of order, imperfect sensor data. The DDDAS versions replace codes that were previously run using data only in initial conditions. DDDAS entails the ability to dynamically incorporate additional data into an executing application, and in reverse, the ability of an application to dynamically steer the measurement process.

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SN - 1424405017

SN - 9781424405015

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ER -

DDDAS approaches to wildland fire modeling and contaminant tracking

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