Hyperspectral Infrared Measurements Simulation and Collection for GOES-R Sounder Lossless and Lossy Data Compression Study and Beyond HUNG-LUNG HUANG, BORMIN HUANG, KEVIN BAGGETT, ALOK AHUJA Cooperative Institute for Meteorological Satellite Studies, CIMSS University of Wisconsin-Madison TIMOTHY J. SCHMIT and ROGER W. HEYMANN NOAA, National Environmental Satellite, Data, and Information Service, NESDIS CIMSS, UW-Madison 1225 West Dayton Street, Madison, Wisconsin 53706 UNITED STATES OF AMERICA Abstract: Geosynchrous hyperspectral infrared remote sensing measurements are to be collected by the future satellite environmental sensors to make real-time ecological monitoring, daily weather forecasting and long-term climate study, just to name a few. Due to its measurement characteristic, a few order-of-magnitude increase of data volume is anticipated. For example, Geostationary Operational Environmental Satellite (GOES)-R sounding instrument called Hyperspectral Environmental Suite (HES) is under designed to be the NOAA’s next- generation operational sounding sensor capable of making infrared measurements over wide spectrum (~3.5 to 15 microns) at spectral resolution better than (ν/∆ν≥~1000 or ∆ν≤~1 cm -1 ), and also improved signal to noise ratio (NEdT≤~0.25K), field of view spatial sampling and size (<10 km), and most of all, fast (every half hour to hours) and broad area coverage (sub- continental to continental US scale). Lossless and lossy data compressions are the only ways to effective reduce data volume before satellite downlink and data re-distribution at ground sites. This paper reviews a government- university team’s status of current approach and future plan of providing a comprehensive hyperspectral infrared database to support government-lead data compression study. Beyond that, it is intended to elevate its effort to back industry’s design and build of HES on time for GOES-R operations as well. Key-Words: Hyperspectral, geosynchrous, data compression, lossless, lossy. 1 Introduction New instruments such as the Atmospheric Infrared Sounder (AIRS), Interferometric Monitor for Greenhouse Gases (IMG), Geosychronous Imaging Fourier Transform Spectrometer (GIFTS), Cross-track Infrared Sounder (CrIS), Infrared Atmospheric Sounding Interferometer (IASI), the Hyperspectral Environmental Suite (HES) on GOES-R, and others provide researchers with the potential to make significant advancements in hyperspectral data distribution, processing and science applications. In this paper, we will overview the current hyperspectral end-to-end system infrastructure development in University of Wisconsin-Madison. Emphasis is on the end-to-end system component of the Hyperspectral Sounder Simulator and Processor (HSSP), under development by 1