• DocumentCode
    143602
  • Title

    Estimating of the total atmospheric precipitable water vapor amount from the Chinese new generation polar orbit FengYun meteorological satellite (FY-3) data

  • Author

    Shuo Peng ; Bo-Hui Tang ; Hua Wu ; Ronglin Tang ; Zhao-Liang Li

  • Author_Institution
    State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geographic Sci. & Natural Resources Res., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3029
  • Lastpage
    3032
  • Abstract
    The total atmospheric precipitable water vapor amount (TWV) is a key variable for the study of the Earth´s climate. This paper develops an algorithm to estimate the TWV over clear skies from the Medium Resolution Spectral Imager (MERSI) data in the near-IR channels. The MODTRAN 4 code is used to simulate the top of the atmospheric radiances for the MERSI channels. The results show that the proposed algorithm is suitable to estimate TWV form the absorbing channel centered at 0.940 μm and the atmospheric window channels centered at 0.865 μm and centered at 1.030 μm by the radiances over the clear pixels, with relative differences in the range of 10%-15%.
  • Keywords
    atmospheric humidity; atmospheric techniques; remote sensing; China; Earth climate; MERSI channels; MODTRAN 4 code; absorbing channel; atmospheric radiances; atmospheric window channels; clear pixels; medium resolution spectral imager data; near-IR channels; polar orbit Fengyun meteorological satellite data; total atmospheric precipitable water vapor amount; Atmospheric measurements; Atmospheric modeling; Channel estimation; MODIS; Remote sensing; Satellites; Sea measurements; FengYun-3 (FY-3); Medium Resolution Spectral Imager (MERSI); Total atmospheric precipitable water vapor amount (TWV); near-IR channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947115
  • Filename
    6947115