Analysis of AOD Characteristics Retrieved from Himawari-8 Using Sun Photometer in South Korea

태양광도계 자료를 이용한 한반도 내 Himawari-8 관측 AOD 특성 분석

  • Lee, Gi-Taek (Department of Atmospheric Science, Kongju National University) ;
  • Ryu, Seon-Woo (Department of Atmospheric Science, Kongju National University) ;
  • Lee, Tae-Young (Department of Atmospheric Science, Kongju National University) ;
  • Suh, Myoung-Seok (Department of Atmospheric Science, Kongju National University)
  • 이기택 (공주대학교 대기과학과) ;
  • 유선우 (공주대학교 대기과학과) ;
  • 이태영 (공주대학교 대기과학과) ;
  • 서명석 (공주대학교 대기과학과)
  • Received : 2020.06.04
  • Accepted : 2020.06.11
  • Published : 2020.06.30


Through the operations of advanced geostationary meteorological satellite such as Himawari-8 and GK2A, higher resolution and frequency of AOD (Aerosol Optical Depth) data have become available. In this study, we analyzed the characteristics of Himawari-8/AHI (Advanced Himawari Imager) aerosol properties using the recent 4 years (2016~2019) of Sun photometer data observed at the five stations(Seoul National University, Yonsei University, Hankuk University of Foreign Studies, Gwangju Institute of Science and Technology, Anmyon island) which is a part of the AERONET (Aerosol Robotic Network). In addition, we analyzed the causes for the AOD differences between Himawari AOD and Sun photometer AOD. The results showed that the two AOD data are very similar regardless of geographic location, in particular, for the clear condition (cloud amount < 3). However, the quality of Himawari AOD data is heavily degraded compared to that of the clear condition, in terms of bias (0.05 : 0.21), correlation (0.74 : 0.64) and RMSE (Root Mean Square Error; 0.21 : 0.51), when cloud amount is increased. In general, the large differences between two AOD data are mainly related to the cloud amount and relative humidity. The Himawari strongly overestimates the AOD at all five stations when cloud amount and relative humidity are large. However, the wind speed, precipitable water, height of cloud base and Angstrom Exponent have been shown to have no effect on the AOD differences irrespective of geographic location and cloud amount. The results suggest that caution is required when using Himawari AOD data in cloudy conditions.


  1. ACAPR(Asia center for air pollution research), 2019. Summary Report of the 4th stage (2013-2017) LTP Project, National Institute of Environmental Research, Seoul, Korea.
  2. Choi, S.I., J.E. An, and Y.M. Jo, 2018. Review of Analysis Principle of Fine Dust, Journal of Industrial and Engineering Chemistry, 21(2): 16-23 (in Korean with English abstract).
  3. Hsu, N.C., J.R. Herman, P.K. Bhartia, C.J. Seftor, O. Torres, A.M. Thompson, J.F. Gleason, T.F. Eck, and B.N. Holben, 1996. Detection of Biomass Burning Smoke from TOMS Measurements, Geophysical Research Letters, 23(7): 745-748.
  4. Kim, Y.W., H.S. Lee, Y.J. Jang, and H.J. Lee, 2015. How does media construct particulate matter risks?: A news frame and source analysis on particulate matter risks, Korean Journal of Journalism & Communication Studies, 59(2): 121-154.
  5. Kim, J.H., D.R. Choi, Y.S. Koo, J.B. Lee, and H.J. Park, 2016. Analysis of Domestic and Foreign Contributions using DDM in CMAQ during Particulate Matter Episode Period of February 2014 in Seoul, Journal of Korean Society for Atmospheric Environment, 32(1): 82-99 (in Korean with English abstract).
  6. KMA(Korean Meteorological Administration), 2008. Report of Global Atmosphere Watch 2007, Korean Meteorological Administration, Seoul, Korea.
  7. KMA(Korean Meteorological Administration), 2016. Manual for the aerosol observations, Korean Meteorological Administration, Seoul, Korea.
  8. Ko, H.J., C.H. Kang, J.W. Cha, and S.B. Ryoo, 2017. Concentration and Pollution Characteristics of Secondary Aerosol Components Over the Yellow Sea by Ship-Borne Observation in Spring, 2015, Atmosphere, 27(1): 29-40 (in Korean with English abstract).
  9. Koo, J.H., S.Y. Lee, M.S. Kim, J.H. Park, S.A. Jeon, H.S. Noh, J. Kim, and Y.G. Ryu, 2018. Comparison of Ground-Based Particulate Matter Observations in the Seodaemun-gu District, Seoul, Atmosphere, 28(4): 469-477 (in Korean with English abstract).
  10. Lee, K.H. and S.S. Park, 2012. Relationship between PM2.5 Mass Concentrations and MODIS Aerosol Optical Thickness at Dukjuk and Jeju Island, Korean Journal of Remote Sensing, 28(4): 449-458 (in Korean with English abstract).
  11. Lim, H.K., M.J. Choi, M.J. Kim, J. Kim, and P.W. Chan, 2016. Retrieval and Validation of Aerosol Optical Properties Using Japanese Next Generation Meteorological Satellite, Himawari-8, Korean Journal of Remote Sensing, 32(6): 681-691 (in Korean with English abstract).
  12. NMSC(National Meteorological Satellite Center), 2012. Technical analysis report of Aerosol Optical Depth algorithm (AOD-v2.0), National Meteo - rological Satellite Center, Jincheon, Korea.
  13. Oh, S.H., J. Kim, Z.H. Shon, and M.S. Bae, 2017. Assessing the Altitudinal Potential Source Contribution Function of Aerosol Optical Depth in the West Coast of Korean Peninsula during the DRAGON-KORUS-AQ Campaign, Journal of Korean Society for Atmospheric Environment, 33(1): 19-30 (in Korean with English abstract).
  14. Prata, A.J., 1989. Observations of volcanic ash clouds in the 10-12-micron window using AVHRR/2 Data, International Journal of Remote Sensing, 10(4-5): 751-761.
  15. Seinfeld, J.H. and S.N. Pandis, 2006. Atmospheric chemistry and physics: From air pollution to climate change 2nd Edition, John Wiley & Sons, Inc., New York, NY, USA, pp. 55-62.
  16. SPS-KEAA, 2018. Methods for measurement and analysis of particulate matters at around a thermal power plant using light scattering method, Korea Energy Appliances Industry Association, Ansan, Korea.
  17. WHO(World Health Organization), 2018. Burden of disease from the joint effects of household and ambient Air pollution for 2016, World Health Organization, Geneva, Switzerland.
  18. Yoshida, M., M. Kikuchi, T.M. Nagao, H. Murakami, T. Nomaki, and A. Higurashi, 2018. Common retrieval of aerosol properties for imaging satellite sensors, Journal of the Meteorological Society of Japan, 96B: 193-209.