Visual data fusion for applications of high-resolution numerical weather prediction

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.