A014-05
Challenges in Developing Aerosol Algorithms Applied to the Next Generation Geo-Stationary Imagers
Monday, 7 December 2020: 06:06
Virtual
Min M Oo, University of Wisconsin Madison, SSEC, Madison, WI, United States, Robert Holz, UW SSEC, Madison, WI, United States, Steven D Miller, Colorado State Univ-CIRA, Fort Collins, CO, United States, Andi Walther, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States, Andrew K Heidinger, NOAA/NESDIS, Madison, WI, United States and Robert C Levy, NASA/Goddard Space Flight Ctr, Greenbelt, MD, United States
Abstract:
The Advanced Himawari Imager (AHI) on the Himawari-8/9 and the Advanced Baseline Imager (ABI) on the GOES-R and GOES-S provide multi-spectral capability similar to MODIS but from geo-stationary orbit. This new capability provides the spectral bands to apply a MODIS like aerosol retrievals but from geo-stationary orbit allowing for characterization of the temporal evaluation of aerosols and observing a large range of scattering angles. This information can then be leveraged to improve the cloud, aerosol, surface discrimination and aerosol types selection, and better constrain the surface reflectance to improve the aerosol retrievals in regions with turbid water in coastal zones where the water leaving radiance can vary significantly.
The foundation for the algorithm is the dark target approach, developed for NASA’s Earth Observing System Moderate Resolution Imaging Spectroradiometer (MODIS) which has been integrated into the NOAA's Clouds from AVHRR Extended (CLAVR-x) framework providing a combined cloud and aerosol retrieval system. We will present the validation of the new AOD retrievals from both AHI and ABI observations with AOD from the AHI Japan Metrological Agency (JMA), NOAA GOES-R ABI and ground based AERONET with a focus on the littoral regions including South East Asia and west Africa. We will report the challenges of the aerosol algorithm designed to leverage the temporal information and a large range of scattering angles. This research is supported by the Office of Naval Research's (ONR) Multidisciplinary University Research Initiatives (MURI) Program.
