• DocumentCode
    2205304
  • Title

    Analysis of atmospheric signals in spaceborne InSAR - toward water vapor mapping based on multiple sources

  • Author

    Alshawaf, Fadwa ; Fersch, Benjamin ; Hinz, Stefan ; Kunstmann, Harald ; Mayer, Michael ; Thiele, Antje ; Westerhaus, Malte ; Meyer, Franz

  • Author_Institution
    Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1960
  • Lastpage
    1963
  • Abstract
    The dominant error source for short wavelength spaceborne radar signals is due to water vapor present in the neutral atmosphere (neutrosphere). This distortion signal is characterized by high variations in time and space, and can be exploited as a valuable source for quantifying the water vapor content of the Earth´s atmosphere. Available water vapor measurements provided by Envisat Medium Resolution Imaging Spectrometer (MERIS) and simulations from numerical weather prediction models are still limited in observing rapid fluctuations of water vapor. Therefore, we are investigating Interferometric Synthetic Aperture Radar (InSAR) for water vapor mapping. In this paper, water vapor maps derived from Persistent Scatterer InSAR (PSI), MERIS, and the Weather Research and Forecasting (WRF) model are presented with comparative analyses.
  • Keywords
    atmospheric humidity; remote sensing by radar; synthetic aperture radar; weather forecasting; Earth atmosphere; Envisat MERIS; Interferometric Synthetic Aperture Radar; Medium Resolution Imaging Spectrometer; WRF model; atmospheric signal analysis; distortion signal; dominant error source; multiple sources; neutral atmosphere; numerical weather prediction models; persistent scatterer InSAR; short wavelength spaceborne radar signals; spaceborne INSAR; water vapor content; water vapor mapping; water vapor rapid fluctuations; weather forecasting; weather research; Atmospheric modeling; Clouds; Delay; Meteorology; Numerical models; Predictive models; InSAR; MERIS; Neutrospheric water vapor; PSI WRF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351118
  • Filename
    6351118