• Title/Summary/Keyword: KALION

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The KALION Automated Aerosol Type Classification and Mass Concentration Calculation Algorithm (한반도 에어로졸 라이다 네트워크(KALION)의 에어로졸 유형 구분 및 질량 농도 산출 알고리즘)

  • Yeo, Huidong;Kim, Sang-Woo;Lee, Chulkyu;Kim, Dukhyeon;Kim, Byung-Gon;Kim, Sewon;Nam, Hyoung-Gu;Noh, Young Min;Park, Soojin;Park, Chan Bong;Seo, Kwangsuk;Choi, Jin-Young;Lee, Myong-In;Lee, Eun hye
    • Korean Journal of Remote Sensing
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    • v.32 no.2
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    • pp.119-131
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    • 2016
  • Descriptions are provided of the automated aerosol-type classification and mass concentration calculation algorithm for real-time data processing and aerosol products in Korea Aerosol Lidar Observation Network (KALION, http://www.kalion.kr). The KALION algorithm provides aerosol-cloud classification and three aerosol types (clean continental, dust, and polluted continental/urban pollution aerosols). It also generates vertically resolved distributions of aerosol extinction coefficient and mass concentration. An extinction-to-backscatter ratio (lidar ratio) of 63.31 sr and aerosol mass extinction efficiency of $3.36m^2g^{-1}$ ($1.39m^2g^{-1}$ for dust), determined from co-located sky radiometer and $PM_{10}$ mass concentration measurements in Seoul from June 2006 to December 2015, are deployed in the algorithm. To assess the robustness of the algorithm, we investigate the pollution and dust events in Seoul on 28-30 March, 2015. The aerosol-type identification, especially for dust particles, is agreed with the official Asian dust report by Korean Meteorological Administration. The lidar-derived mass concentrations also well match with $PM_{10}$ mass concentrations. Mean bias difference between $PM_{10}$ and lidar-derived mass concentrations estimated from June 2006 to December 2015 in Seoul is about $3{\mu}g\;m^{-3}$. Lidar ratio and aerosol mass extinction efficiency for each aerosol types will be developed and implemented into the KALION algorithm. More products, such as ice and water-droplet cloud discrimination, cloud base height, and boundary layer height will be produced by the KALION algorithm.

Characteristics of Vertical Profiles of Local Aerosol Mass Concentration According to Air Mass Pathways over the Korean Peninsula During Winter (한반도 겨울철 공기이동경로에 따른 에어로졸 농도의 연직분포 특성)

  • Ko, A-Reum;Kim, Jinwon;Chang, Ki-Ho;Cha, Joo-Wan;Lee, Sang-Min;Ha, Jong-Cheol
    • Atmosphere
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    • v.29 no.5
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    • pp.525-535
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    • 2019
  • Vertical distributions of aerosol mass concentrations over Seoul and Gangneung from January to February 2015 were investigated using aerosol Mie-scattering lidars. Vertical mass concentration of aerosol was calculated from the lidar data using KALION's algorithm and quantitatively compared with ground PM10 concentration to obtain objectivity of data. The backward trajectories calculated using HYSPLIT (version 4) were clustered into 5 traces for Seoul and 6 traces for Gangneung, and the observed aerosol vertical mass distribution was analyzed for individual trajectories. Result from the analysis shows that, aerosol concentrations with in the planetary boundary layer were highest when airflows into the measurement points originated in the Shandong Peninsula or the Inner Mongolia. In addition, the difference of aerosol mass concentrations in the two regions below 1 km was about twice as large as that in the long range transport from the Shandong Peninsula compared to the local emission. This result shows that the air quality over Korea related to particulate matters are affected more by aerosol emissions in the upstream source regions and the associated transboundary transports than local emissions. This study also suggests that the use of local aerosol observations is critical for accurate simulations of aerosol-cloud interactions.