October 1, 2006
Conference Paper

Vector Fields Simplification-A Case Study of Visualizing Climate Modeling and Simulation Data Sets

Abstract

In our study of regional climate modeling and simulation, we frequently encounter vector fields that are crowded with large numbers of critical points. A critical point in a flow is where vector field vanishes. While these critical points accurately reflect topology of the vector fields, in our study only a subset them is worth further investigation. We present a filtering tech-nique based on the vorticity of the vector fields to eliminate less interesting and sometimes sporadic critical points in a mul-tiresolution fashion. The neighboring regions of the preserved features, which are characterized by strong shear and circulation, potential locations of weather instability. We apply our fea-ture-filtering technique to a regional climate modeling data covering East Asia in the summer of 1991.

Revised: January 16, 2009 | Published: October 1, 2006

Citation

Wong P.C., H.P. Foote, L.R. Leung, E.R. Jurrus, D.R. Adams, and J.J. Thomas. 2006. "Vector Fields Simplification-A Case Study of Visualizing Climate Modeling and Simulation Data Sets." In Visualization 2000. Proceedings, 485 - 488, 596. New York City, New York:IEEE. PNNL-SA-34863.