A11A-0005
Polluted Dust Classification and Its Optical Properties Analysis Using CALIPSO Data and Simulation

Monday, 14 December 2015
Poster Hall (Moscone South)
Jiachen Ding1, Ping Yang1, Robert Holz2, Mark A. Vaughan3 and Yongxiang Hu4, (1)Texas A & M University College Station, College Station, TX, United States, (2)UW SSEC, Madison, WI, United States, (3)Science and Technology Corporation, Boulder, CO, United States, (4)NASA Langley Research Center, Hampton, VA, United States
Abstract:
In CALIPSO Level 2 aerosol data, dust particles are classified into two subtypes, namely, pure dust and polluted dust based on lidar backscatter, depolarization ratio and surface types. In this research, the polluted dust subtype is found to have two distinct modes in terms of integrated depolarization ratio (IDR) and integrated total color ratio (ICR). Dust with smaller IDR and ICR occurs mainly over areas with strong smoke emissions such as industrial cities. This kind of polluted dust originating from East Asia is also found over the Pacific Ocean. In contrast, the other type originating from the Saharan desert with larger IDR and ICR occurs mainly over the Atlantic Ocean. The disparities of IDR and ICR may result from different pollutants. The polluted dust with smaller ICR and IDR should have stronger absorption of light and may contain black carbon. Other chemical compounds such as sea salts may account for polluted dust with larger ICR and IDR. To further separate the types of polluted dust, cluster analysis is applied to determine the centroid of each type in terms of IDR and ICR. Furthermore, scattering models of dust mixed with various pollutants are constructed to be included in a CALIPSO simulator. The simulated IDR and ICR values are compared with data to retrieve the chemical compositions of polluted dust. The difference of polluted dust over the Pacific and Atlantic Ocean provides new evidence about long-range transport of Asian dust to North America. The distribution of dust polluted by black carbon is determined, which can improve knowledge about the effect of black carbon on the earth’s radiation budget.