Paper
8 March 1996 Climate and weather simulations and data visualization using a supercomputer, workstations, and microcomputers
Philip C. Chen
Author Affiliations +
Proceedings Volume 2656, Visual Data Exploration and Analysis III; (1996) https://doi.org/10.1117/12.234674
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
Current research efforts involve using a supercomputing-visualization facility for climate and weather simulations and data visualization applications. The Numerical Models of the National Center for Atmospheric Research, the Community Climate Model version 2 (CCM2) and the Mesoscale Model version 5 (MM5), are currently running on the VPX240 and VPP500 supercomputers and are generating climate and weather data. Workstations and microcomputers connected to the supercomputers have been used to visualize the data. AVS macro-module networks and AVS/Express projects were developed on a SGI workstation to study climatological and meteorological parameters. The specific visualization topics worked on are: comparisons of AVS and AVS/Express visualization systems; comparisons of iso- surface and iso-volume techniques; and a multivariate data visualization system using multi- windows and a composite of data fields. A weather simulation case has been studied by using the multivariate data visualization system and visualization techniques. The results show that common weather features such as fronts, mesoscale high pressure systems, and clouds can be identified easily. Data dissemination and visualization using internet browsers have been successfully conducted across the Pacific Ocean.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Philip C. Chen "Climate and weather simulations and data visualization using a supercomputer, workstations, and microcomputers", Proc. SPIE 2656, Visual Data Exploration and Analysis III, (8 March 1996); https://doi.org/10.1117/12.234674
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Cited by 8 scholarly publications.
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KEYWORDS
Visualization

Climatology

Data visualization

Data modeling

Clouds

Meteorology

Computer simulations

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