Visualization Aided Data Analysis:   Tools and Techniques for the Geophysical Sciences
Until only a few years ago advanced scientific visualization techniques were largely the purview of visualization experts, employed primarily as a communication aid to clarify and illustrate complex phenomena. Thanks to the commoditization of computer graphics hardware and the emergence of mature, user-friendly software packages the role of scientific visualization has begun to change from one of merely a communication aid to an indispensible tool for discovery, used not exclusively by visualization experts but by scientists in their day-to-day efforts to analyze data and extract new insights. The goal of this workshop is to educate attendees on some of the most recent and relevant advances in scientific visualization, and to provide an overview of some of the software packages that are available and appropriate for researchers in the geo-sciences. Some of the tools discussed include NCL (http://www.ncl.ucar.edu), VAPOR (www.vapor.ucar.edu), and VisIt (https://wci.llnl.gov/codes/visit/). Attendees can expect to gain a basic understanding of the capabilities of these powerful visual data analysis environments; learn which tools may be most appropriate for their own needs; and have an opportunity to talk with tool developers, on-hand for the workshop.

AGU Fall Meeting 2010 - Workshop
13-17 December, SAN FRANCISCO

Workshop Chair:

John Clyne, National Center for Atmospheric Research (NCAR)

Date and Time:

Monday 13 December 2010,  830h–1230h
San Francisco Marriott, Foothills G Room, on the 2nd floor (this is a last minute change to a larger room).
Technical Program:  
0830 – 0840
Opening remarks: John Clyne, NCAR
0840 - 0920
NCL, Community Tools for the Analysis and Visualization of Geoscientific Data, Mary Haley, NCAR - http://www.ncl.ucar.edu/
0920 - 1000
VAPOR: A Tool for Interactive Visualization of Massive Earth-Science Data Sets, Alan Norton, NCAR - http://www.vapor.ucar.edu
1000 - 1030
1030 - 1110
VisIt: A Tool for Visualizing and Analyzing Very Large Data, Hank Childs, Lawrence Berkeley Lab - https://wci.llnl.gov/codes/visit
1110 - 1150
GoogleEarth: Visualizing Your Geographic Data With Google Earth and Google Fusion Tables, Mano Marks, Google Inc.
1150 - 1230
Vis Research: Advances in Visualization Research, Ken Joy, U.C. Davis
 Contact for more info: John Clyne (clyne@ucar.edu)