DocumentCode
2655021
Title
Visual data fusion for applications of high-resolution numerical weather prediction
Author
Treinish, Lloyd A.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
2000
fDate
13-13 Oct. 2000
Firstpage
477
Lastpage
480
Abstract
Non-traditional applications of scientific data challenge the typical approaches to visualization. In particular popular scientific visualization strategies fail when the expertise of the data consumer is in a different field than the one that generated the data and data from the user´s domain must be utilized as well. This problem occurs when predictive weather simulations are used for a number of weather-sensitive applications. A data fusion approach is adopted for visualization design and utilized for specific example problems.
Keywords
data visualisation; digital simulation; geophysics computing; sensor fusion; weather forecasting; data consumer; data fusion approach; high-resolution numerical weather prediction; predictive weather simulations; scientific data; scientific visualization strategies; visual data fusion; visualization design; weather-sensitive applications; Application software; Atmospheric modeling; Computational modeling; Computer graphics; Data visualization; Decision making; Fusion power generation; Humans; Predictive models; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization 2000. Proceedings
Conference_Location
Salt Lake City, UT, USA
Print_ISBN
0-7803-6478-3
Type
conf
DOI
10.1109/VISUAL.2000.885736
Filename
885736
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