Analysis of Aerosol Distribution over North East Asia Using a Geostationary Satellite Measurement during Filed Campaigns of DRAGON-Asia 2012 and MAPS-Seoul 2015

Monday, 14 December 2015
Poster Hall (Moscone South)
Mijin KIM1, Jhoon Kim2, Ukkyo Jeong3, Woogyung Kim2, Myungje Choi2, Brent N Holben4, Thomas F Eck5, Jaehyun Lim6 and Joonyoung Ahn7, (1)Yonsei Univ., Seoul, South Korea, (2)Yonsei University, Seoul, South Korea, (3)Yonsei University, of Atmospheric Sciences, Seoul, South Korea, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Nasa Goddard SFC, Greenbelt, MD, United States, (6)National Institute of Environmental Research(NIER), Inchon, South Korea, (7)NIER National Institute of Environmental Research, Incheon, South Korea
Considering diverse source and high concentration of aerosol, numerous manners have been applied to detect aerosol properties in North East Asia (NEA). Above all, a geostationary orbit satellite, COMS has monitored atmosphere and ocean conditions over the NEA using two payloads of Meteorological Imager (MI) and Geostationary Ocean Color Imager (GOCI) since 2010. By using the MI measurements, an AOD retrieval algorithm was developed (Kim et al., 2014). Additionally, a number of ground-based network such as Aerosol Robotic Network (AERONET), Sky Radiometer Network (SKYNET), and Mie-scattering Light Detector and Ranging (LIDAR) Network have been in operation to capture aerosol variability. And, occasionally, field campaigns were conducted. In 2012 (March to May), the DRAGON-Asia campaign was performed by AERONET science team and NIER (National Institute of Environmental Research), and 40 sun/sky-radiometer was deployed. Subsequently, MAPS-Seoul campaign for detecting air quality was performed with 8 AERONET sites and 6 Pandora instruments in Korea. Those ground-based measurements provide validation dataset for satellite retrieval algorithm, as well as detect detail of aerosol characteristics at each local point. Thus, in this study, the AODs obtained from the aforementioned campaigns were applied to assess and improve the accuracy of MI AOD. For the DRAGON-Asia 2012, the comparison between MI AOD and AERONET AOD shows correlation coefficient of 0.85, regression slope of 1.00 and RMSE of 0.18. Furthermore, AOPs obtained from those field campaign results and the MI AOD were analyzed to understand temporal and spatial variance of aerosol in NEA during spring.