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Characteristics of Atmospheric Aerosol Optical Thickness over the Northeast Asia Using TERRA/MODIS Data during the Year 2000~2005  

Lee, Dong Ha (Advanced Environmental Monitoring Research Center (ADEMRC), Dept. of Environmental Science & Engineering Gwangju Institute of Science & Technology (GIST))
Lee, Kwon Ho (Advanced Environmental Monitoring Research Center (ADEMRC), Dept. of Environmental Science & Engineering Gwangju Institute of Science & Technology (GIST))
Kim, Jeong Eun (Advanced Environmental Monitoring Research Center (ADEMRC), Dept. of Environmental Science & Engineering Gwangju Institute of Science & Technology (GIST))
Kim, Young Joon (Advanced Environmental Monitoring Research Center (ADEMRC), Dept. of Environmental Science & Engineering Gwangju Institute of Science & Technology (GIST))
Publication Information
Atmosphere / v.16, no.2, 2006 , pp. 85-96 More about this Journal
Abstract
The six-year (2000~2005) record of aerosol optical thickness (AOT or $\tau$) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) was analyzed over the Northeast Asia. The MODIS AOT standard products (MOD04_L2) over both ocean and land were collected to evaluate the spatial and temporal variability of the atmospheric aerosols over the study region ($32^{\circ}N{\sim}42^{\circ}N$ and $115^{\circ}E{\sim}133^{\circ}E$). The monthly averaged AOT result revealed slight changes(${\pm}0.002{\tau}/month$), which was almost unchangeable, over Korea. In contrast, the large AOT values (> 0.6) and a significant AOT increase (> 0.004 ${\tau}/month$) over East China were observed. For the analysis of spatio-temporal variability of AOT values, study area was divided by six sectors (I: North-East China, II: East China, III: Yellow Sea, IV: Korea Peninsular, V: East Sea, and VI: South Sea and Western part of Japan). The considerable result showed that particularly high AOT contribution was observed over sector I (32.5%) and II (25.5%) where some major urban and industrialized areas and agricultural fields are located and other cases were observed 13.2%, 14.6%, 7.1%, 7.0% over sector III, IV, V, and VI, respectively. In addition, yearly AOT changes based on seasons are observed differently at each sector but increasing trends reveal in summer and fall over all sectors.
Keywords
MODIS; MOD04; AOT; Spatio-temporal variability;
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