HR: 17:45h
AN: SM42E-07    [PDF]
TI: Visualization and Data Analysis for CISM Models
AU: * Wiltberger, M
EM: wiltbemj@ucar.edu
AF: NCAR/HAO, 3450 Mitchell Lane, Boulder, CO 80301 United States
AU: Guild, T
EM: tguild@bu.edu
AF: Boston University Center for Space Physics, 750 Commonwealth Ave, Boston, MA 00231 United States
AU: Lyon, J G
EM: lyon@tinman.dartmouth.edu
AF: Dartmouth College Department of Physics and Astronomy, 6127 Wilder Laboratory, Hanover, NH 03755 United States
AB: The Center for Integrated Space Weather Modeling (CISM) is working on developing a model from the surface of the sun to the Earth's ionosphere. Among the many challenges facing this program is the development of visualization and data analysis package which can be used to examine the results from all of the component models. We have begun to use OpenDX as the core of the CISM visualization and data analysis package. OpenDX is an open source data visualization package based upon IBM's Data Explorer visualization software. This package allows us to provide access to simulation results through either web based front end or via a series of module extensions to the OpenDX package which can be installed on the remote user's own machine. Since the software is open source, it is freely available on wide range of platforms ranging from SGIs to Intel machines running either Linux or WinNT. The OpenDX software package includes a set of tools for turning OpenDX visual program into a Java based web page which allows the user simple control over the parameters plotted and viewing angle. We begin this presentation with an overview of OpenDX's capabilities and then present sample visualizations from the ENLIL solar wind model, the LFM and RCM magnetosphere models, and the TING ionospheric model. In addition, we illustrate how this package can be used as part of a more advanced data analysis system. In particular we examine the energy partitioning the magnetosphere during a series of substorms by using OpenDX define regions, e.g. plasma sheet, lobes, and then integrate the energy density within them as a function of time. The combination of visualization tools with data analysis routines allows us to develop a deeper understanding of the coupled Sun-Earth system.
DE: 2753 Numerical modeling
DE: 2794 Instruments and techniques
DE: 7819 Experimental and mathematical techniques
SC: SPA - Magnetospheric Physics [SM]
MN: 2003 Fall Meeting