AGU Fall Meeting Workshop - Visual Data Analysis: Tools and Techniques for the Geophysical Sciences

Cost: FREE

Registration: NONE REQUIRED

Organizers: John Clyne, NCAR and Yuan Ho, Unidata

Only a few years ago advanced scientific visualization techniques were largely limited to the realm of visualization experts, and employed primarily as a communication aid to 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 changed 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 provide an overview of some of the open source software packages that are available, and most relevant, to researchers in the geo-sciences. 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.

Technical Program

0830 – 0845: Opening Remarks: John Clyne, NCAR

0845 – 0930: Interactive Analysis and Visualization of Very Large Earth Science Data Using VAPOR (www.vapor.ucar.edu), Alan Norton, NCAR [view abstract]

0930 – 1015: Visualization of Geo-science at the Speed of Thought (http://www.unidata.ucar.edu/software/idv/) , Yuan Ho, Unidata [view abstract]

1015 – 1030: Break (Refreshments served - coffee, bagels, muffins, fruit)

1030 – 1115:  Community Tools for Analysis and Visualization of Geoscientific Data (http://www.ncl.ucar.edu), David Brown, NCAR  [view abstract]

1115 – 1200: McIDAS-V (http://www.ssec.wisc.edu/mcidas/), Tom Achtor, U. of Wisconsin [view abstract]

1200 - 1230:  Open discussion

12:30  End of Session

Contact for more info: John Clyne (clyne@ucar.edu)

This workshop is supported by UCAR’s Computational Information Systems Laboratory (CISL), and Unidata programs, with sponsorship from AGU’s Earth and Space Science Informatics Focus Group.