Deriving High-quality Climate Data Records from Two Decades of Satellite Hyperspectral Remote Sensors
Xu
Liu
NASA Langley Research Center
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.
Poster file
liu-xu-confronting-poster.pdf
(3.69 MB)