A008-0011
Retrieval of Alaskan Wildfire Aerosol Properties from GOES-17

Monday, 7 December 2020
Poster
Tyler Summers, University of Alaska Fairbanks, Fairbanks, AK, United States, Mariel Friberg, Georgia Institute of Technology Main Campus, School of Civil and Environmental Engineering, Atlanta, GA, United States, James Limbacher, Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States and Dong Liang Wu, NASA/Goddard Space Flight Cent, Greenbelt, MD, United States
Abstract:
According to the EPA, wildland fires contributed approximately 30 percent of directly emitted fine particulate matter, linked to premature death from heart and lung disease. Declared operational in February 2019, the Geostationary Operational Environmental Satellite-17 (GOES-17) is the second NOAA operated next-generation geostationary satellite carrying the Advanced Baseline Imager (ABI), and represents the first in the GOES-series to enable high-resolution aerosol-related research over Alaska. ABI collects full-disk imagery every 10 minutes over the western hemisphere in 16 spectral bands at ~1km spatial resolution (at the sub-spacecraft point). Using the GOES-17 radiance data and the robust surface characterizations of the Multi-Angle Implementation of Atmospheric Correction (MAIAC), MAGARA can perform good-quality aerosol retrievals of smoke generated by Alaskan wildfires. From July 5th-13th, 2019, smoke plumes over the Black River, Rainbow 2, and Tractor Trail 2 wildfires were characterized using pixel-level retrievals from MAGARA (~4 km resolution). In addition to smoke plume characterization, this high latitude test case revealed algorithm constraints that will further improve MAGARA, including the need to perform bias-correction at low sun angles.
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