Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia

• Published in: Remote Sensing
• Main Authors: Mijin Kim, Jhoon Kim, Omar Torres, Changwoo Ahn, Woogyung Kim, Ukkyo Jeong, Sujung Go, Xiong Liu, Kyung Jung Moon, Deok-Rae Kim
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2018
• Subjects: remote sensing; aerosol optical depth; single scattering albedo; aerosol layer height; optimal estimation; Science; Q; Haf; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/rs10020162; https://doaj.org/article/2cc7f74ba1f54167857dc2e08d3fa5bb

The Geostationary Environment Monitoring Spectrometer (GEMS) is scheduled to be in orbit in 2019 onboard the GEO-KOMPSAT 2B satellite and will continuously monitor air quality over Asia. The GEMS will make measurements in the UV spectrum (300–500 nm) with 0.6 nm resolution. In this study, an algorit...