• DocumentCode
    2674024
  • Title

    A wind speed and fluctuation simulator for characterizing the wind lidar correlation method

  • Author

    Tomás, S. ; Sicard, M. ; Masjuan, J. ; Reba, M. N Md ; Muñoz, C. ; Rocadenbosch, F.

  • Author_Institution
    Univ. Polytech. de Catalunya (UPC), Barcelona
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2779
  • Lastpage
    2782
  • Abstract
    Aerosol distribution in the atmosphere is used as a wind-tracer by lidars since it is drifted by the wind and respond to its changes. Two methods are used: the correlation and the Doppler method. This first one is easier and cheaper to implement than the latter. It makes it competitive for retrieving wind speed profiles or estimating wind turbulence. However, its accuracy decreases significantly as the distance from the optical radiation source increases, hence the need to characterize the method by means of wind field profile simulations and validate it by comparing the retrieval of real wind velocities with that of cooperative instruments such as radiosoundings. In this paper, the bases of a 2D lidar signal simulator are presented. The relationship between wind fields and the aerosol concentration dynamics, and the way they relate to lidar signal returns is explained. The first results of the application of the correlation method for the retrieval of wind velocities from real data at the UPC are presented and compared to radiosoundings measurements.
  • Keywords
    aerosols; atmospheric composition; optical radar; wind; 2D lidar signal simulator; Doppler method; UPC; aerosol concentration dynamics; optical radiation source; radiosoundings; wind lidar correlation method; wind speed; wind turbulence; wind-tracer; Aerodynamics; Aerosols; Atmosphere; Atmospheric modeling; Correlation; Fluctuations; Information retrieval; Instruments; Laser radar; Wind speed; Correlation; aerosol; lidar; simulator; wind retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423419
  • Filename
    4423419