Towards a Dynamic Data Driven Application System for wildfire simulation

Lecture Notes in Computer Science

Volumn 3515, Issue II, 2005, Pages 632-639

  Mandel, Jan ^a   Bennethum, Lynn S ^a   Chen, Mingshi ^a   Coen, Janice L ^b   Douglas, Craig C ^c   Franca, Leopoldo P ^a   Johns, Craig J ^a   Kim, Minjeong ^a   Knyazev, Andrew V ^a   Kremens, Robert ^d   Kulkarni, Vaibhav ^a   Qin, Guan ^e   Vodacek, Anthony ^d   Wu, Jianjia ^e   Zhao, Wei ^e   Zornes, Adam ^c  

^a UNIVERSITY OF COLORADO   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

^d ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^e TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FORECASTING; KALMAN FILTERING; MATHEMATICAL MODELS; PROBLEM SOLVING; FIRES; SPACE TIME CODES;

DATA ASSIMILATION; DYNAMIC DATA DRIVEN APPLICATION SYSTEMS (DDDAS); MODEL STATES; DYNAMIC DATA DRIVEN APPLICATION SYSTEMS; ENSEMBLE KALMAN FILTER; NONLINEAR PROBLEMS; OUT OF SEQUENCES; PARALLEL IMPLEMENTATIONS; WEATHER DATA; WEB-BASED VISUALIZATION; WILDFIRE SIMULATION;

COMPUTER SIMULATION; KALMAN FILTERS;

EID: 25144444359     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11428848_82     Document Type: Conference Paper

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