HR: 0800h
AN: IN31A-1140    [Abstracts]
TI: Simultaneous Visualization of the IPCC AR4 Model Ensemble on an Extremely High Resolution Display Wall (HIPerWall).
AU: * Knox, C J
EM: knoxc@uci.edu
AF: University of California, Irvine - Calit2, Calit2 Buildng, Irvine, CA 92697 United States
AU: Brown, M
EM: brownmc@uci.edu
AF: University of California, Irvine - Dept of Earth System Science, Croul Hall, Irvine, CA 92697 United States
AU: Doerr, K
EM: kdoerr@uci.edu
AF: University of California, Irvine - Calit2, Calit2 Buildng, Irvine, CA 92697 United States
AU: Jenks, S
EM: sjenks@uci.edu
AF: University of California, Irvine - Calit2, Calit2 Buildng, Irvine, CA 92697 United States
AU: Zender, C S
EM: zender@uci.edu
AF: University of California, Irvine - Dept of Earth System Science, Croul Hall, Irvine, CA 92697 United States
AU: Kuester, F
EM: fkuester@uci.edu
AF: University of California, Irvine - Calit2, Calit2 Buildng, Irvine, CA 92697 United States
AB: Extremely high resolution (100+ megapixel) displays promote rapid analysis of multi-variate data from model ensembles with heterogeneous grid types and facilitate comparison with observational data.Visual fusion of heterogeneous data sets avoids much of the computational complexity and expense associated with direct numerical fusion. As such, visual fusion and analysis of data complements numerical techniques, particularly in cases where the nature or size of the data precludes the latter approach. UCI's HIPerWall is among the world's highest resolution displays. It consists of fifty 30" flat panel displays arrayed ten-by-five (6.85 m by 2.3 m) with 200+ megapixels total resolution. We have developed an interactive HIPerWall environment for analyzing 21st century climate predictions from the twenty General Circulation Models (GCM) simulations which comprise the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) model ensemble. This environment facilitates the inter-comparison of any data stored in netCDF format. The environment has three basic modes: 1) Time Slicing - display a range of variables at any given time-step from all 20 models simultaneously. 2) Temporal - view the time history of a single variable from all models. 3) Coupled - view single time-steps of a smaller number of variables for each GCM along with the time history of select GCMs. In addition, researchers have access to custom visualization techniques for data representation - including: volume rendering, iso-surfacing, and color mapping. This environment allows researchers to rapidly inter-compare the IPCC AR4 GCM ensemble and to reference GCMs against observational data with minimal computational expense and without having to address the complications associated with the large range of underlying grid types in the ensemble. Researchers can rapidly identify predictions common to the majority of GCMs and can pinpoint areas of divergence. Furthermore, these characterizations are not limited to single variables or single time-steps. These results demonstrate the potential of visual data fusion using high resolution displays.
DE: 0530 Data presentation and visualization
DE: 0545 Modeling (4255)
DE: 1622 Earth system modeling (1225)
DE: 1626 Global climate models (3337, 4928)
DE: 1694 Instruments and techniques
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005