Title :
Case study: wildfire visualization
Author :
Ahrens, James ; McCormick, Patrick ; Bossert, James ; Reisner, Jon ; Winterkamp, Judith
Author_Institution :
Adv. Comput. Lab., Los Alamos Nat. Lab., NM, USA
Abstract :
The ability to forecast the progress of crisis events would significantly reduce human suffering and loss of life, the destruction of property and expenditures for assessment and recovery. Los Alamos National Laboratory has established a scientific thrust in crisis forecasting to address this national challenge. In the initial phase of this project, scientists at Los Alamos are developing computer models to predict the spread of a wildfire. Visualization of the results of the wildfire simulation will be used by scientists to assess the quality of the simulation and eventually by fire personnel as a visual forecast of the wildfire´s evolution. The fire personnel and scientists want the visualization to look as realistic as possible without compromising scientific accuracy. This paper describes how the visualization was created, analyzes the tools and approach that were used, and suggests directions for future work and research.
Keywords :
data visualisation; digital simulation; disasters; emergency services; environmental science computing; fires; forecasting theory; forestry; assessment expenditure; case study; computer models; crisis event progress forecasting; fire personnel; human suffering; loss of life; property destruction; realism; recovery expenditure; scientific accuracy; simulation quality assessment; wildfire spread simulation; wildfire visualization; Computer aided software engineering; Fires; Humans; Laboratories; Personnel; Predictive models; Read-write memory; Visualization; Weather forecasting; Wind;
Conference_Titel :
Visualization '97., Proceedings
Conference_Location :
Phoenix, AZ, USA
Print_ISBN :
0-8186-8262-0
DOI :
10.1109/VISUAL.1997.663919