Integration of auroral image data from multiple sources in a VxO environment

Details Integration of auroral image data from multiple sources in a VxO environment Integration of auroral image data from multiple sources in a VxO environment

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsm21a0254g&link_type=abstract

American Geophysical Union, Fall Meeting 2006, abstract #SM21A-0254

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Methodology

2704 Auroral Phenomena (2407), 2794 Instruments And Techniques, 2799 General Or Miscellaneous

Scientific paper

A key element of the virtual observatory concept is the ability to use multiple observations from different instruments in common scientific investigations. For example, a typical investigation might compare space based auroral images with ground based all sky imagers to provide a multi-scale picture of auroral activity that is then used with ground radar and magnetometer observations and in situ satellite observations to study the nature of high-latitude forcing of the coupled ionosphere and thermosphere. There is currently no common methodology for easily sharing and comparing auroral image data. Furthermore, the technical capabilities for online access to auroral images varies widely between instrument teams and data repositories. GAIA provides a mechanism for finding and accessing multiple data sets, but the task of integrating multiple data into a common data set must still be done on an ad hoc basis. We will discuss tools, methodologies, and procedures needed to allow end users to seamlessly combine data sets from different instruments into a single dataset for scientific studies.

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