Publication Details

Zhu, J., Xia, X., Wang, J., Zhang, J., Wiedinmyer, C., Fisher, J. A. & Keller, C. A. (2017). Impact of Southeast Asian smoke on aerosol properties in Southwest China: First comparison of model simulations with satellite and ground observations. Journal of Geophysical Research: Atmospheres, 122 1-16.


Smoke aerosols have been observed in Southwest China as a result of long-range transport from surrounding areas in March and April. The processes driving this transport and the resultant impact on regional aerosol optical properties are studied here through a combined use of the Goddard Earth Observing System (GEOS)-Chem chemistry transport model in conjunction with satellite and the first-ever ground-based observations in the Southwest China. The potential biomass burning source regions as well as their respective contributions to aerosol loading in Southwest China are quantified. Compared to Sun photometer observations of aerosol optical depth (AOD) at 550nm at eight stations in the study region (10-28°N, 90-115°E, comprising Northeast India, Indo-China Peninsula, and Southwest and South China), the AOD simulated by GEOS-Chem (nested grid with 0.5° x 0.667° resolution) by using the Fire Inventory from National Center for Atmospheric Research shows an average bias of 0.17 during January 2012 to May 2013. However, during the biomass burning months (March-April), the simulated AOD is much improved with a bias of 0.04. Model sensitivity experiments show that biomass burning in Burma and Northeast India is the largest contributor to smoke AOD (~88%) and total AOD (~57%) over Kunming, an urban site in Southwest China. Case studies on 21-23 March 2013 show that the smoke layer in Northeast India and North Burma can extend from the surface to 4 km and then be transported to Southwest China by prevailing westerly airflow. Model-simulated AOD and vertical distribution of aerosols are respectively in good agreement with satellite measurements from Moderate Resolution Imaging Spectroradiometer and Cloud-Aerosol Lidar with Orthogonal Polarization.



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