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dc.contributor.authorChong, Jihyo
dc.contributor.authorShin, Dong Ho
dc.contributor.authorKim, Kwan Chul
dc.contributor.authorLee, Kwon-Ho
dc.contributor.authorShin, Sungkyun
dc.contributor.authorNoh, Y. M.
dc.contributor.authorMueller, D.
dc.contributor.authorKim, Young J.
dc.contributor.editorKassianov, E.I.
dc.contributor.editorComeron, A.
dc.contributor.editorPicard, R.H.
dc.contributor.editorSchafer, K.
dc.identifier.citationChong , J , Shin , D H , Kim , K C , Lee , K-H , Shin , S , Noh , Y M , Mueller , D & Kim , Y J 2011 , Atmospheric aerosol characterization combining multi-wavelength Raman Lidar and MAX-DOAS measurements in Gwanjgu . in E I Kassianov , A Comeron , R H Picard & K Schafer (eds) , Remote Sensing of Clouds and the Atmosphere XVI . Proceedings of SPIE , vol. 8177 , SPIE , Conference on Remote Sensing of Clouds and the Atmosphere XVI , Prague , Czech Republic , 21/09/11 .
dc.identifier.otherORCID: /0000-0002-0203-7654/work/68611659
dc.description.abstractIntegrated approach has been adopted at the ADvanced Environmental Research Center (ADEMRC), Gwangju Institute of Science and Technology (GIST), Korea for effective monitoring of atmospheric aerosol. Various active and passive optical remote sensing techniques such as multi-wavelength (3 beta+2 alpha+1 delta) Raman LIDAR, sun-photometry, MAX-DOAS, and satellite retrieval have been utilized. This integrated monitoring system approach combined with in-situ surface measurement is to allow better characterization of physical and optical properties of atmospheric aerosol. Information on the vertical distribution and microphysical properties of atmospheric aerosol is important for understanding its transport characteristics as well as radiative effect. The GIST multi-wavelength (3 beta+2 alpha+1 delta) Raman lidar system can measure vertical profiles of optical properties of atmospheric aerosols such as extinction coefficients at 355 and 532nm, particle backscatter coefficients at 355, 532 and 1064 nm, and depolarization ratio at 532nm. The incomplete overlap between the telescope field-of-view and beam divergence of the transmitting laser significantly affects lidar measurement, resulting in higher uncertainty near the surface where atmospheric aerosols of interest are concentrated. Differential Optical Absorption Spectroscopy (DOAS) technique is applied as a complementary tool for the detection of atmospheric aerosols near the surface. The passive Multi-Axis DOAS (MAX-DOAS) technique uses scattered sunlight as a light source from several viewing directions. Recently developed aerosol retrieval algorithm based on O4 slant column densities (SCDs) measured at UV and visible wavelengths has been utilized to derive aerosol information (e. g., aerosol optical depth (AOD) and aerosol extinction coefficients (AECs)) in the lower troposphere. The aerosol extinction coefficient at 356 nm was retrieved for the 0-1 and 1-2 km layers based on the MAX-DOAS measurements using the retrieval algorithm. Ground-based measurements of tropospheric aerosol using multi-wavelength Raman lidar system and a mobile MAX-DOAS system had been carried out at the Gwangju Institute of Science and Technology (GIST). To evaluate the performance of the integrated measurement system (Lidar + MAX-DOAS), an aerosol retrieval method called STAR (satellite aerosol retrieval) has been applied to compare the satellite AOD products with those based on the Raman lidar and MAX-DOAS measurements. It allows complete monitoring of atmospheric aerosols' vertical profiles for better estimation of their radiative effects on atmospheric environment and climate change.en
dc.relation.ispartofRemote Sensing of Clouds and the Atmosphere XVI
dc.relation.ispartofseriesProceedings of SPIE
dc.subjectAerosol extinction coefficients
dc.subjectSEVERE HAZE
dc.subjectmulti-wavelength Raman Lidar
dc.titleAtmospheric aerosol characterization combining multi-wavelength Raman Lidar and MAX-DOAS measurements in Gwanjguen
dc.contributor.institutionCentre for Atmospheric and Climate Physics Research
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics

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