Characteristics of MODIS Satellite Data during Fog Occurrence near the Inchon International Airport

  • Yoo Jung-Moon (Department of Science Education, Ewha Womans University) ;
  • Kim Young-Mi (Department of Science Education, Ewha Womans University) ;
  • Ahn Myoung-Hwan (Remote Sensing Research Lab. Meteorological Research Institute) ;
  • Kim Yong-Seung (Satellite Operation & Application Center, Korea Aerospace Research Institute) ;
  • Chung Chu-Yong (Remote Sensing Research Lab. Meteorological Research Institute)
  • Published : 2005.03.01

Abstract

Simultaneous observations of MODIS (Moderate-resolution Imaging Spectroradiometer) onboard the Aqua and Terra satellites and weather station at ground near the Inchon International Airport (37.2-37.7 N, 125.7-127.2 E) during the period from December 2002 to September 2004 have been utilized in order to analyze the characteristics of satellite-observed infrared (IR) and visible data under fog and clear-sky conditions, respectively. The differences $(T_{3.7-11})$ in brightness temperature between $3.75{\mu}m\;and\;11.0{\mu}m$ were used as threshold values for remote-sensing fog (or low clouds) from satellite during day and night. The $T_{3.7-11}$ value during daytime was greater by about 21 K when it was foggy than that when it was clear, but during nighttime fog it was less by 1.5 K than during nighttime clear-sky. The value was changed due to different values of emission of fog particles at the wavelength. Since the near-IR channel at $3.7{\mu}m$ was affected by solar and IR radiations in the daytime, both IR and visible channels (or reflectance) have been used to detect fog. The reflectance during fog was higher by 0.05-0.6 than that during clear-sky, and varied seasonally. In this study, the threshold values included uncertainties when clouds existed above a layer of fog.

Keywords

References

  1. Ahn, M. H., Sohn, E. H., and Hwang, B. J., 2003, A new algorithm for fog/stratus detection using GMS-5 IR data. Advances in Atmospheric Sciences, 20 (6), 899-913 https://doi.org/10.1007/BF02915513
  2. Anthis, A. I. and Cracknell, A. P., 1999, Use of satellite images for fog detection (AVHRR) and forecast of fog dissipation (METEOSAT) over lowland Thessalia, Hellas. International Journal of Remote Sensing, 20 (6), 1107-1124 https://doi.org/10.1080/014311699212876
  3. Bendix, J., 2002, A satellite-based climatology of fog and low-level stratus in Germany and adjacent areas. Atmospheric Research, 64, 3-18 https://doi.org/10.1016/S0169-8095(02)00075-3
  4. Bendix, J., Thies, B., and Cermak, J., 2003, Fog detection with TERRA-MODIS and MSG-SEVIRI. Proceedings 2003 Meteorological satellite users' Conference, Weimar (Germany), 429-435
  5. Bendix, J., Cermak, J., and Thies, B., 2004, New perspectives in remote sensing of fog and low stratus-TERRA/AQUA-MODIS and MSG. The 3rd International conference on fog Available on-line from http://www.up.ac.za/ academic/geog/meteo/Events/fogdew2003fogdew.html
  6. Byun, H.-R., Lee, D.-K., and Lee, H.-W., 1997, Analysis on the characteristics and predictablility of the marine fog over and near East sea. Journal of the Korean Meteorological Society, 33 (1), 41-62
  7. Cermak, J., Thies, B. and Bendix, J., 2004, A new approach to fog detection using SEVIRI and MODIS data. The 2004 EUMETSAT meteorological satellite conference [Available on-line from http://www.eumetsat.de/en/area2/proceedings/eump41/]
  8. Ellrod, G. P., 1995, Advances in the detection and analysis of fog at night using GOES multispectral infrared imagery. Weather and Forecasting, 10, 606-619 https://doi.org/10.1175/1520-0434(1995)010<0606:AITDAA>2.0.CO;2
  9. Eyre, J. R., Brownscombe, J. L., and Allam, R. J., 1984, Detection of fog at night using Advanced Very High Resolution Radiometer (AVHRR) imagery. Meteorological Magazine, 113, 266-271
  10. Hahn, J. C., Rossow, W. B., and Warren, S. G, 2001, ISCCP cloud properties associated with standard cloud types identified in individual surface observations. Journal of Climate, 14, 11-28 https://doi.org/10.1175/1520-0442(2001)014<0011:ICPAWS>2.0.CO;2
  11. Kokhanovsky, A., 2004, Optical properties of terrestrial cloud. Earth-science Reviews, 64, 189-241 https://doi.org/10.1016/S0012-8252(03)00042-4
  12. Maruyama, S., Mori, Y., and Sakai, S., 2004, Nongray radiative heat transfer analysis in the anisotropic scattering fog layer subjected to solar irradiation. Journal of Quantitative Spectroscopy & Radiative Transfer, 83, 361-375 https://doi.org/10.1016/S0022-4073(02)00378-3
  13. Menzel, W. P. and Gumley, L.E., 1998, MODIS atmospheric profile retrieval algorithm theoretical basic document [Available on-line from http://modis_atrnos.gsfc.gov/MOD07_L2/atbd.html]
  14. Meteorological Research Institute, 2001, Satellite Data Processing Technique (II), 33-42
  15. MSG, 2003, Meteorological products extraction facility algorithm specification document. EUMETSAT, 71
  16. Park, H. S., Kim, Y. H., Suh, A. S., and Lee, H. H., 1997, Detection of fog and the low stratus cloud at night using derived dual channel difference of NOAA/AVHRR data [Available on-line from http://gisdevelopment.net/aars/acrs/]
  17. Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Riedi, J. C., and Frey, R. A., 2003, The MODIS cloud products: Algorithms and examples from Terra. IEEE Transactions on Geoscience and Remote Sensing, 41 (20), 459-473 https://doi.org/10.1109/TGRS.2002.808301
  18. Rossow, B. W., and Schiffer, R. A., 1991, ISCCP cloud data products. Bulletin of American Meteorological Society, 72, 2-20 https://doi.org/10.1175/1520-0477(1991)072<0002:ICDP>2.0.CO;2
  19. Simpson, J. J., Mcintire, T. J., Stitt, J. R., and Hufford, G. L., 2001, Improved cloud detection in AVHRR day-time and night-time scenes over the ocean. International of Journal Remote Sensing, 22 (13), 2585-2615 https://doi.org/10.1080/01431160119916