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
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;
Conference_Titel :
Visualization 2000. Proceedings
Conference_Location :
Salt Lake City, UT, USA
Print_ISBN :
0-7803-6478-3
DOI :
10.1109/VISUAL.2000.885736