HR: 14:25h
AN: A43G-03    [Abstracts]
TI: An investigation into seasonal and regional aerosol characteristics in East Asia using model- predicted and satellite-/sunphotometer-derived aerosol properties
AU: * Song, C H
EM: chsong@gist.ac.kr
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: * Song, C H
EM: chsong@gist.ac.kr
AF: Advanced Environmental Monitoring Research Center(ADEMRC), GIST, #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Lee, Y J
EM: yjlee31@kopec.co.kr
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Ahn, H J
EM: hyun0202@hanafos.com
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Park, M E
EM: mep@gist.ac.kr
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Kim, J Y
EM: jykim@kist.re.kr
AF: Korea Institute of Science and Technology (KIST), #39-1, Hawolgok-dong,Seongbuk-gu, Seoul, 136-791, Korea, Republic of
AU: Lee, K H
EM: kwonlee@umd.edu
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Lee, K H
EM: kwonlee@umd.edu
AF: University of Maryland, 2114-C Computer & Space Science Building College Park, Maryland, MD 20742, United States
AU: Han, K M
EM: kmhan@gist.ac.kr
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Kim, J
EM: jkim2@yonsei.ac.kr
AF: Yonsei University, #134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea, Republic of
AU: Ghim, Y S
EM: ysghim@hufs.ac.kr
AF: Hankuk University of Foreign Studies, 89 Wangsan-ri Mohyun-myon, Yongin, 449-791, Korea, Republic of
AU: Kim, Y J
EM: yjkim@gist.ac.kr
AF: Gwangju Institute of Science & Technology (GIST), #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AU: Kim, Y J
EM: yjkim@gist.ac.kr
AF: Advanced Environmental Monitoring Research Center(ADEMRC), GIST, #1, Oryong-dong, Buk-gu, Gwangju, 500-712, Korea, Republic of
AB: In this study, the spatial and seasonal distributions of EOS/Terra Moderate Resolution Imaging Spectroradiometer (MODIS)-derived aerosol optical depth (AOD) over East Asia are analyzed in conjunction with US EPA Models-3/CMAQ v4.3 modeling. First, AOD (τ^M-BAER_MODIS) retrieved through a modified Bremen Aerosol Retrieval Algorithm (M-BAER algorithm) is compared with AOD (τ_CMAQ) calculated from the US EPA Models-3/CMAQ model simulations. For the four season episodes selected in this study, both τ^M-BAER_MODIS and τ_CMAQ show high values around Chinese urban and industrial centers, such as Sichuan Basins, Bohai Bay area, and Yangtze Delta areas, as well as excessively high NH3 emission regions. The levels of τ_CMAQ are also comparable to those of τ^M-BAER_MODIS throughout the domain. Since τ^M-BAER_MODIS cannot provide information on the aerosol chemical composition in the atmosphere, different aerosol formation characteristics in different regions and different seasons in East Asia cannot be described or identified by τ^M-BAER_MODIS itself. Therefore, the seasonally and regionally varying aerosol formation characteristics are investigated by the US EPA Models- 3/CMAQ v4.3 model simulations. The contribution of each particulate chemical species to τ^{M- BAER}_MODIS and τ_CMAQ shows strong seasonal variations. For example, during the summer episode, τ^M-BAER_MODIS and τ_CMAQ are both raised due to high concentrations of (NH4)2SO4 over the Chinese urban and industrial centers, whereas during the winter episode, τ^{M- BAER}_MODIS and τ_CMAQ are raised largely due to active NH4NO3 formation over urban and industrial centers, as well as over Chinese agricultural and livestock farming areas. On the other hand, τ^{M- BAER}_MODIS is strongly correlated with the AOD (τ_AERONET) from the AERONET sites in East Asia, with an average correlation coefficient of R=0.77, thereby indicating the promising potential in the application of the M-BAER algorithm to air quality studies and satellite-based monitoring studies in East Asia.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0368 Troposphere: constituent transport and chemistry
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting