Registering Active and Passive IMAGE RPI Datasets with the Virtual Wave Observatory

Details Registering Active and Passive IMAGE RPI Datasets with the Virtual Wave Observatory Registering Active and Passive IMAGE RPI Datasets with the Virtual Wave Observatory

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufmsa53a1574g&link_type=abstract

American Geophysical Union, Fall Meeting 2008, abstract #SA53A-1574

Other

0525 Data Management, 2794 Instruments And Techniques, 6984 Waves In Plasma (7867)

Scientific paper

Development of the Virtual Wave Observatory (VWO) for acquired active/passive plasma wave and radiation datasets will be a significant step forward for the Heliophysics community in its efforts to make wave-specific science data searchable, understandable, and usable. The first phase of the VWO project commenced in September 2008 with the goal of converting existing custom database storing wave data acquired by the Radio Plasma Imager (RPI) on the NASA IMAGE satellite into the VxO realm and, specifically, the SPASE Data Model. The RPI dataset comprises 1.2 million active and 0.8 million passive stepped-frequency measurements whose exploration incurs substantial expense of data search and expert interpretation. Our attention is drawn to the ability of the VWO not only to organize numeric and display data records in the SPASE-compatible manner, but most importantly, provide the essential means to capture the wave research community knowledge in accompanying metadata so as to let users understand the VWO data collections and search them by phenomena and context conditions. To that end, we pursue to extend the SPASE model to include wave-relevant terms and to develop a VWO annotation service to provide searchable data interpretations to the scientists who may not be a wave expert. The SPASE Data Model provides several means to describe data sets in a unified manner, forging them together in a three large categories, (1) numeric data, (2) display data, and (3) catalogs. Whereas numeric data resources simply point to the instrument data, the other two categories refer to the presentation of derived and interpreted information. We consider images of the RPI data as derived products that required investment in time and effort to create, especially if their author provided interpretation of visible signatures and optimized the visualization settings to highlight the signatures. When such interpretations are available, they can be used to further group RPI data in categories and build SPASE Catalogs correspondingly. The paper discusses lessons learned from the process of adopting the SPASE nomenclature and architecture in order to organize RPI data into a valid VWO data resource. In particular, we concentrated on a SPASE Granule concept to establish a VWO service that returns a list of qualifying data granules when queried with a set of search parameters, including start and stop times, type of phenomenon, measurement settings, etc, with the ultimate, enabling goal of letting Heliophysics community to productively use wave data as part of their research.

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