• DocumentCode
    2858266
  • Title

    Improved Rain Attenuation Correction Algorithms for Radar Reflectivity and Differential Reflectivity with Adaptation to Drop Shape Model Variation

  • Author

    Yuxiang Liu ; Bringi, V.N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Colorado State, Fort Collins, CO
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1910
  • Lastpage
    1913
  • Abstract
    One important goal of the Collaborated Adaptive Sensing of the Atmosphere (CASA) Engineering Research Center is to observe and monitor hazardous weather events in the low troposphere (below 1 km) by deploying networks of small, low- cost radars with small antennas. The first generation of CASA radar networks with dual-polarization capabilities is being deployed in Oklahoma. To achieve good sensitivity with small antenna size, high frequencies (X-Band) are selected. It is well known that signals transmitted at such high frequencies suffer attenuation due to rain along the propagation path. This article describes improved rain attenuation correction algorithms which correct radar reflectivity (Zh) and differential reflectivity (Zdr.) through measured differential propagation phase (Phidp).
  • Keywords
    atmospheric electromagnetic wave propagation; atmospheric techniques; meteorological radar; radiowave propagation; rain; remote sensing by radar; troposphere; CASA Engineering Research Center; CASA radar networks; Collaborated Adaptive Sensing of the Atmosphere; Oklahoma; X band radar; differential reflectivity; drop shape model variation; dual polarization radar; low troposphere hazardous weather events; radar propagation path; radar reflectivity; rain attenuation correction algorithms; rain induced radar attenuation; small antenna radars; Antennas and propagation; Atmosphere; Atmospheric modeling; Attenuation; Collaboration; Frequency; Radar antennas; Rain; Reflectivity; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.493
  • Filename
    4241640