HR: 1340h
AN: IN13A-0896    [Abstracts]
TI: Bridging OGC and Earth Science-based Data Access Protocols
AU: * Holloway, D
EM: d.holloway@opendap.org
AF: OPeNDAP, 165 Dean Knauss Drive, Narragansett, RI 02882, United States
AU: Yang, W
EM: yang@rattler-e.gsfc.nasa.gov
AF: George Mason University, Center for Spatial Information Science and Systems (CSISS) 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, United States
AU: Min, M
EM: mmin1@gmu.org
AF: George Mason University, Center for Spatial Information Science and Systems (CSISS) 6301 Ivy Lane, Suite 620, Greenbelt, MD 20770, United States
AU: Enloe, Y
EM: yonsook@mindspring.com
AF: SGT, Inc., 7701 Greenbelt Rd, Suite 400, Greenbelt, MD 20770, United States
AU: Lynnes, C
EM: Chris.Lynnes@nasa.gov
AF: NASA/GSFC, Code 610.2, Greenbelt, MD 20771, United States
AB: The Coordinated Enhanced Observing Period "CEOP", an element of the World Climate Research Program initiated by GEWEX, has effectively demonstrated the importance of linking satellite and in situ measurements with model products from both global and regional Numerical Weather Predictions systems. To enhance their capacity to meet current and future project goals, CEOP scientists need the flexibility to readily acquire and use new satellite products, to reprocess for additional reference sites using varying gridded representations, and to have seamless access to these new products from within their existing analysis applications. Emerging GIS standards have the potential to help meet these requirements, but their existing analysis applications (e.g. GrADS) are often not GIS capable. On the other hand, many of these tools can access data through Earth science data access protocols such as Open-source Project for a Network Data Access Protocol (OPeNDAP). Funded by NASA's Research Opportunities in Space and Earth Science program, a prototype satellite data server has been developed to bridge these two types of protocols. The server integrates simple OPeNDAP data access, for integration into the scientist's existing suite of analysis tools, with OGC Web Coverage Servers on the backend to provide the processing capacity to handle the coordinate system transformations. The server incorporates handling of swath to grid coordinate transformations, quality screening information, implicit and explicit "time" dimensions, and mosaicking. Using a specific satellite product as the basis for discussion we"ll present the approach followed in the development effort to address these problems, and use an existing server implementation to demonstrate its capabilities.
DE: 0525 Data management
DE: 1655 Water cycles (1836)
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting