Enabling New Discovery with the Virtual ITM Observatory

Details Enabling New Discovery with the Virtual ITM Observatory Enabling New Discovery with the Virtual ITM Observatory

May 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agusmsm31a..01m&link_type=abstract

American Geophysical Union, Spring Meeting 2008, abstract #SM31A-01

Other

2199 General Or Miscellaneous, 2499 General Or Miscellaneous, 2799 General Or Miscellaneous, 7599 General Or Miscellaneous

Scientific paper

While a Virtual Observatory can be thought of as a software system that provides uniform access to multiple data sets, it can also be considered a system that allows the user to create a virtual observing system dedicated to the individual's research interests. This latter approach was the goal of the Virtual ITM Observatory (VITMO) which has now reached operational status. The design of the Virtual ITM Observatory (VITMO) was developed out of a series of use cases for ITM science data analysis. To enhance the capability of the scientist in studying the ITM region and its response to energetic inputs as a system, the need was shown for an ability to approach problems using coordinated observations. This systems approach required the Virtual ITM Observatory to allow the user to locate data files that overlap in time and space, creating a virtual satellite to make coordinated observations of phenomena. VITMO provides tools to take the drudgery out of locating simultaneous overlapping datasets from multiple satellites and satellite-ground site conjunctions. Many of these tools are integrated into the search system allowing the user to find files automatically when certain geophysical conditions are present, a satellite observes a region at the same time a ground based radar system is operating, or other conditions are met. A recent addition to VITMO is the support for "summary images" that many instrument teams use to allow the user to identify data sets of interest. VITMO has expanded this capability by automatically tying together summary images and the data sets they are derived from. This facility allows the user to "thumb through" the summary images, indicating those of interest, automatically selecting all of the appropriate data products for download. This gives the user an ability to select based on "identified features" that the user finds in the visual representations of the data sets. Examples of how these capabilities allow the scientist to perform "what-if" based searches of data for analysis will be presented in a demo along with a discussion of the types of scientific analysis that may be possible through this system.

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