Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Analysis of Cloud Types and Low-Level Water Vapor Using Infrared Split-Window Data of NOAA/AVHRR

NOAA/AVHRR 적외 SPLIT WINDOW 자료를 이용한 운형과 하층수증기 분석

  • 이미선 (기상연구소 원격탐사연구실) ;
  • 이희훈 (기상청 관측관 위성담당) ;
  • 서애숙 (기상연구소 원격탐사연구실)
  • Published : 1995.06.01
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Abstract

The values of brightness temperature difference (BTD) between 11um and 12um infrared channels may reflect amounts of low-level water vapor and cloud types due to the different absorptivity for water vapor between two channels. A simple method of classifying cloud types at night was proposed. Two-dimensional histograms of brightness temperature of the 11um channel and the BTD between the split window data over subareas around characteristic clouds such as Cb(cumulonimbus), Ci(cirrus), and Sc(stratocumulus) was constructed. Cb, Ci and Sc can be classified by seleting appropriate thresholds in the two-dimensional histograms. And we can see amounts of low-level water vapor in clear area as well as cloud types in cloudy area in the BTD image. The map of cloud types and low-level water vapor generated by this method was compared with 850hPa and 1000hPa relative humidity(%) of numerical analysis data and nephanalysis chart. The comparisons showed reasonable agreement.

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References

  1. 氣象 v.94 no.3 『ひまねり 5호』に 搭載される 新セソサ- に ついて 德野正己;藤田由紀夫
  2. J. Geophys. Res. v.99 Multilevel cloud retrieval using multispectral HIRS and AVHRR data Bryan,A.B.;F.A.Robert;A.W.Bruce;M.Partrick;T. Si-chee
  3. J. Geophys. Res. v.95 Intercomparison and interpretation of climate feedback processes in 19 atmospheric global circulation models Cess,R.D.(et al.)
  4. J. Geophys. Res. v.87 Cloud cover from high resolution scanner data: Detecting and allowing for partially filled fields of view Coakley,J.A.Jr.;F.P.Bretherton
  5. J. Appl. Meteorol. v.21 Automatic classification of clouds on METEOSAT imagery: Application to high-level clouds Debois,M.;G.Seze;G.Szejwach
  6. J. Meteorol. Soc. Jpn. v.63 On the temperature and effective emmissivity determination of semitrasparent cirrus clouds by bi-spectral measurements in the 10-㎛ window region Inoue,T.
  7. J. Meteor. Soc. Jpn. v.65 An instantaneous delineation of convetive rainfall areas using split-window data of NOAA-7 AVHRR Inoue,T.
  8. J. Meteorol. Sco. Jpn. v.92 A cloud type classification with NOAA 7 split window measurements Inoue,T.
  9. Mon. Wea. Rev. v.99 An investigation of cloud distribution from satellite infrared radiation data Lo,R.C.;D.R.Johnson
  10. Mon. Wea. Rev. v.104 A multispectral cloud type identification method using Nimbus 3 MRIR measurements Shenk,W.E.;R.J.Holub;R.A.Neff
  11. NOAA Tech. Memo. NESS v.107 Data extraction and calibration of TIROSN-N/NOAA radiometers Walter,G.P.
  12. J. Geophys. Res. v.95 Nonlinearity corrections in calibration of advanced high resolution radiometer infrared channels Weinreb,M.P.;G.Hamilton;S.Brown