Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction

Craig C Douglas; Divya Bansal; Jonathan D Beezley; Lynn S Bennethum; Soham Chakraborty; Janice L Coen; Yalchin Efendiev; Richard E Ewing; Jay Hatcher; Mohamed Iskandarani; Christopher R Johnson; Deng Li; Minjeong Kim; Robert A Lodder; Jan Mandel; Guan Qin; Anthony Vodacek

doi:10.1007/978-0-387-73659-4_14

Conference paper

Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction

Craig C Douglas, Divya Bansal, Jonathan D Beezley, Lynn S Bennethum, Soham Chakraborty, Janice L Coen, Yalchin Efendiev, Richard E Ewing, Jay Hatcher, Mohamed Iskandarani, …

Grid-Based Problem Solving Environments, pp.255-272

IFIP The International Federation for Information Processing, Springer US

2007

DOI: https://doi.org/10.1007/978-0-387-73659-4_14

Abstract

Ensemble Member

Spectral Element Method

Wildland Fire

Observation Function

Data Assimilation

We describe three different dynamic data-driven applications systems (DDDAS): an empty house, a contaminant identification and tracking, and a wildland fire. Each has something in common with all of the rest and can use some common tools. Each DDDAS is quite complicated in comparison to a traditional static input simulation that is run with large numbers of inputs instead of one longer run that is self-correcting.

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Title: Dynamic Data-Driven Application Systems for Empty Houses, Contaminat Tracking, and Wildland Fireline Prediction
Creators: Craig C Douglas - Department of Computer Science, Yale University, New Haven, USA
Divya Bansal - Department of Computer Science, University of Kentucky, Lexington, USA
Jonathan D Beezley - Department of Mathematical Sciences, University of Colorado at Denver and Health Sciences Center, Denver, USA
Lynn S Bennethum - Department of Mathematical Sciences, University of Colorado at Denver and Health Sciences Center, Denver, USA
Soham Chakraborty - Department of Computer Science, University of Kentucky, Lexington, USA
Janice L Coen - National Center for Atmospheric Research, Boulder, USA
Yalchin Efendiev - Institute for Scientific Computation, Texas A&M University, College Station, USA
Richard E Ewing - Institute for Scientific Computation, Texas A&M University, College Station, USA
Jay Hatcher - Department of Computer Science, University of Kentucky, Lexington, USA
Mohamed Iskandarani - Rosenstiel School, of Marine and Atmospheric Science, University of Miami, Miami, USA
Christopher R Johnson - Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA
Deng Li - National Center for Atmospheric Research, Boulder, USA
Minjeong Kim - Department of Mathematical Sciences, University of Colorado at Denver and Health Sciences Center, Denver, USA
Robert A Lodder - Department of Chemistry, University of Kentucky, Lexington, USA
Jan Mandel - Department of Mathematical Sciences, University of Colorado at Denver and Health Sciences Center, Denver, USA
Guan Qin - Institute for Scientific Computation, Texas A&M University, College Station, USA
Anthony Vodacek - Center for Imaging Science, Rochester Institute of Technology, Rochester, USA
Publication Details: Grid-Based Problem Solving Environments, pp.255-272
Series: IFIP The International Federation for Information Processing
Publisher: Springer US; Boston, MA
Academic Unit: Rosenstiel School; Rosenstiel - Ocean Sciences
Language: English
Resource Type: Conference paper
Record Identifier: 991031598572902976