• DocumentCode
    484045
  • Title

    SAR Derived Wind Fields of Mesoscale Cyclones

  • Author

    Brusch, S. ; Lehner, S. ; Reppucci, A.

  • Author_Institution
    DLR, German Aeorospace Center
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    In this study we show how satellite images taken by space-borne radar sensors can be used to determine mesoscale high resolution wind fields in synergy with cloud parameters from optical data. The aim of this study is to use Synthetic Aperture Radar (SAR) and Medium Resolution Imaging Spectrometer (MERIS) onboard the ENVIronmental SATellite (ENVISAT) in synergy to analyse severe weather systems. We investigated the fine scale structure of a severe weather case on Nov 1, 2006 over the North Sea using satellite data. The satellite data are compared with numerical model results of the German Weather Service "Lokal Modell", LM and the High Resolution Limited Area Model, HIRLAM. LM and HIRLAM show differences in mesoscale turbulent behaviour. Maximum wind speeds of up to 25 m/s are measured by SAR and are confirmed by the models. Significant differences are observed in the location of the maxima. Due to the high resolution ENVISAT ASAR measurements provide very detailed information on small scale atmospheric features, which seem to be not well captured by the analyzed numerical models in particular in coastal areas..
  • Keywords
    geophysical equipment; remote sensing by radar; storms; synthetic aperture radar; ENVISAT; ENVIronmental SATellite; German Weather Service; Lokal Modell; MERIS instrument; Medium Resolution Imaging Spectrometer; mesoscale cyclones; space borne radar sensors; synthetic aperture radar; wind field; Atmospheric measurements; Cyclones; Laser radar; Numerical models; Optical sensors; Satellites; Sea measurements; Spaceborne radar; Synthetic aperture radar; Wind; Synthetic aperture radar (SAR); numerical high resolution model; wind field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779035
  • Filename
    4779035