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ESIP Federation 2004 : L.B.Pham S. Berrick, L. Pham, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu NASA Goddard Earth Sciences (GES) Data & Information.

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Presentation on theme: "ESIP Federation 2004 : L.B.Pham S. Berrick, L. Pham, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu NASA Goddard Earth Sciences (GES) Data & Information."— Presentation transcript:

1 ESIP Federation 2004 : L.B.Pham S. Berrick, L. Pham, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu NASA Goddard Earth Sciences (GES) Data & Information Services Center (DISC) Distributed Active Archive Center (DAAC) Code 902 NASA Goddard Space Flight Center Greenbelt, Maryland 20771 USA http://daac.gsfc.nasa.gov/ FOR MORE INFORMATION: Stephen.W.Berrick@nasa.gov Multi-Sensor Distributive On-line Processing Visualization and Analysis System Using Giovanni  Access to data from multiple remote sites as well as local sites  Server-side temporal and spatial subsetting  Server-side processing  Support for multiple data formats including Hierarchical Data Format (HDF), HDF- EOS, network Common Data Form (netCDF), GRIdded Binary (GRIB), and binary.  Support for multiple plot types including area, time, Hovmoller, and image animation  Support for outputting data in ASCII format  Easily configurable to support customized portals for measurements-based projects or disciplines The ability to use data stored in the current Earth Observing System (EOS) archives for studying regional or global phenomena is highly dependent on having a detailed understanding of the data's internal structure and physical implementation. Gaining this understanding and applying it to data reduction is a time-consuming task that must be undertaken before the core investigation can begin. This is an especially difficult challenge when science objectives require users to deal with large multi-sensor data sets that are usually of different formats, structures, and resolutions. The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has taken a major step towards meeting this challenge by developing an infrastructure that supports a Web interface that allows users to perform interactive analysis online without downloading any data. The underlying infrastructure that integrates all the components is called GES-DISC Interactive Online Visualization and Analysis Infrastructure or “Giovanni.“ Giovanni provides interactive, online, analysis tools for data users to facilitate their research. From the user's perspective, Giovanni is a simple Web application. Both Java and non Java versions are available. The user selects one or more parameters to display along with the spatial area, the temporal range, and the plot type. Plot types include area, time series, Hovmoller, and animation. ASCII output, appropriate for GIS or other user applications, is also available. The user may also select one of several color options. SEAWIFS – monthly global 9-km product MODIS – atmosphere monthly global TRMM – three hourly, daily, monthly and global Time Plot ASCII Text Area Plot Hovmoller (longitude-time) Data Description Main Screen Ocean Color : http://reason.gsfc.nasa.gov/Giovanni/ Atmosphere : http://lake.nascom.nasa.gov/movas/ Rainfall and Precip. : http://lake.nascom.nasa.gov/tovas/ FOCUS ON RESULTSADD VALUE TO RESULTSUSE GIOVANNI FOR FURTHER ANALYSISPUBLISHBRING THE EARTH INTO FOCUS Remote sensing data and data products at no cost Modular algorithm integration for high-volume processing Complex data interpretations and statistical analyses Focus on analysis without having to download data ABSTRACT ARCHITECTURE FEATURES WEB INTERFACE THE BRIDGE BETWEEN DATA AND SCIENCE WEB ACCESS DATA AVAILABLE IIGARSS2004-106-12284


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