Hyperspectral data and products derived from instrumentation such as GIFTS and HES will impose storage and data retrieval requirements that far exceed the demands or earlier generation remote sensing instrumentation used for atmospheric science research. Efforts at the University of Wisconsin - Space Science and Engineering Center (UW-SSEC) are underway to develop a new architecture designed to address projected real time and research needs.

The large volume of data collected and products produced from hyperspectral instrumentation will require large distributed storage devices employing several servers. The hardware infrastructure must be implemented to allow component augmentation, replacement, and maintenance without undue demands to modify user applications. User applications will need tools to simplify the location of data files. User data selection facilities for retrieving specific information from storage devices for calibration, analysis, instrument inter-comparison, or reference purposes will also be necessary due to of the large data volume and standardized data formats and data delivery schemes will be important.

This poster will outline a prototyped infrastructure for data archiving and cataloging, data storage, metadata search and query, and retrieved data delivery schemes to be utilized for real time operations and by research users.