Atmospheric Chemistry and Physics Discussions
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10.5194/acpd-8-8661-2008
http://www.atmos-chem-phys-discuss.net/8/8661/2008/
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http://www.atmos-chem-phys-discuss.net/8/8661/2008/acpd-8-8661-2008.pdf
8661
8713
2008-05-13
An investigation into seasonal and regional aerosol characteristics in East Asia using model-predicted and remotely-sensed aerosol properties
C. H. Song
chsong@gist.ac.kr
M. E. Park
H. J. Ahn
K. H. Lee
Y. Lee
J. Y. Kim
K. M. Han
J. Kim
Y. S. Ghim
Y. J. Kim
Dept. of Environmental Science and Engineering, Gwangju Inst. of Science and Technology (GIST), Gwangju, Korea, and also at Advanced Environmental Monitoring Research Center (ADEMRC), Gwangju Inst. of Science and Technology (GIST), Gwangju, Korea
Hazardous Substance Research Center, Korea Inst. of Science and Technology (KIST), Seoul, Korea
Earth System Science Interdisciplinary Center (ESSIC), Univ. of Maryland, MD 20742, USA
Dept. of Atmospheric Science, Yonsei Univ., Seoul, Korea
Dept. of Environmental Science, Hankuk Univ. of Foreign Studies, Yongin-si, Gyeonggi-do, Korea
In this study, the spatio-temporal and seasonal distributions of EOS/Terra
Moderate Resolution Imaging Spectroradiometer (MODIS)-derived aerosol
optical depth (AOD) over East Asia were analyzed in conjunction with US EPA
Models-3/CMAQ v4.3 modeling. In this study, two MODIS AOD products (τ
<sub>MODIS</sub>:τ<sub>M-BAER</sub> and τ<sub>NASA</sub>) retrieved through a modified
Bremen Aerosol Retrieval (M-BAER) algorithm and NASA collection 5 (C005)
algorithm were compared with the AOD (τ<sub>CMAQ</sub>) that was calculated
from the US EPA Models-3/CMAQ model simulations. In general, the
CMAQ-predicted AOD values captured the spatial and temporal variations of
the two MODIS AOD products over East Asia reasonable well. Since τ<sub>MODIS</sub> 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<sub>MODIS</sub> itself. Therefore, the seasonally and regionally varying
aerosol formation and distribution characteristics were investigated by the
US EPA Models-3/CMAQ v4.3 model simulations. The contribution of each
particulate chemical species to τ<sub>M-BAER</sub>, τ<sub>NASA</sub>, and τ<sub>CMAQ</sub>
showed strong spatial, temporal and seasonal variations. For
example, during the summer episode, τ<sub>M-BAER</sub>, τ<sub>NASA</sub>, and
τ<sub>CMAQ</sub> were mainly raised due to high concentrations of
(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> over Chinese urban and industrial centers and
secondary organic aerosols (SOAs) over the southern parts of China, whereas
during the winter episode, τ<sub>M-BAER</sub>, τ<sub>NASA</sub>, and τ<sub>CMAQ</sub> were higher due largely to high levels of NH<sub>3</sub>NO<sub>3</sub> formed
over the urban and industrial centers, as well as in areas with high
NH<sub>3</sub> emissions. In addition, the accuracy of τ<sub>M-BAER</sub> and τ<sub>NASA</sub> was evaluated by a comparison with the AOD (τ<sub>AERONET</sub>)
from the AERONET sites in East Asia. Both τ<sub>M-BAER</sub> and τ<sub>NASA</sub>
showed a strong correlation with τ<sub>AERONETR</sub> around the 1:1 line
(<i>R</i>=0.79), indicating promising potential for the application of both the
M-BAER and NASA aerosol retrieval algorithms to satellite-based air quality
monitoring studies in East Asia.
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