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The KALION Automated Aerosol Type Classification and Mass Concentration Calculation Algorithm
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  • Journal title : Korean Journal of Remote Sensing
  • Volume 32, Issue 2,  2016, pp.119-131
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2016.32.2.5
 Title & Authors
The KALION Automated Aerosol Type Classification and Mass Concentration Calculation Algorithm
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;
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 Abstract
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 ( for dust), determined from co-located sky radiometer and 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 mass concentrations. Mean bias difference between and lidar-derived mass concentrations estimated from June 2006 to December 2015 in Seoul is about . 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.
 Keywords
Lidar;aerosol;vertical distribution;aerosol type;dust;extinction;mass concentration;KALION;
 Language
Korean
 Cited by
1.
Estimate and Analysis of Planetary Boundary Layer Height (PBLH) using a Mobile Lidar Vehicle system, Korean Journal of Remote Sensing, 2016, 32, 3, 307  crossref(new windwow)
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