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Deriving High-quality Climate Data Records from Two Decades of Satellite Hyperspectral Remote Sensors

Xu
Liu
NASA Langley Research Center
Wan Wu, NASA Langley Research Center
Xiaozhen Xiong, NASA Langley Research Center
Qiguang Yang, Analytical Mechanics Associates
Liqiao Lei, Analytical Mechanics Associates
Qing Yue, NASA Jet Propulsion Laboratory
Poster
We will present climate data records (CDRs) derived from satellite hyperspectral remote sensors such as Atmospheric Infrared Sounder (AIRS), Cross-track Infrared Sounder (CrIS), and Infrared Atmospheric Sounding Interferometer (IASI). These high-quality CDRs include atmospheric temperature, water, vapor, and greenhouse gas vertical profile, cloud, surface emissivity, and surface skin temperatures. We have developed two algorithms which can consistently derive these products from 20-years of multiple IR hyperspectral remote sensing observations. The products are being generated at NASA GES DISC data center and will be available for public access soon.
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