Characterization of Long-Range Transport of Biomass Burning Aerosols Using Raman Lidar, Satellite Retrieval, Back Trajectory, and a Global Model

Tuesday, 16 December 2014
Alexei Lyapustin1, Huifen Bian1, Mian Chin2, Igor S. Veselovsky3, Tom L Kuscera4 and Yujie Wang5, (1)NASA Goddard Space Flight Cen., Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Physics Instrumentation Center of General Physics Institute, Troitsk, Russia, (4)Universities Space Research Association Greenbelt, Greenbelt, MD, United States, (5)University of Maryland Baltimore County, Baltimore, MD, United States
Late summer Raman lidar measurements at NASA GSFC revealed a

distinct aerosol plume at 3km altitude on August 26, 2013 which showed

a gradual subsidence and merge with the boundary layer aerosol on

August 27-28. The subsequent analysis using the Multi-Angle

Implementation of Atmospheric Correction (MAIAC) aerosol data from

MODIS on Terra and Aqua, GOCART and backtrajectories revealed a

complex relationship with fires in Yosemite (CA) and Wyoming/Idaho.

This talk will provide a brief overview of current MAIAC smoke/dust

retrieval capabilities followed by a systematic description of

modeling results constrained by MAIAC and lidar data.