• DocumentCode
    611450
  • Title

    The SC EXCELL model for the prediction of monthly rain attenuation statistics

  • Author

    Capsoni, Carlo ; Luini, Lorenzo

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1382
  • Lastpage
    1385
  • Abstract
    This contribution presents the prediction of monthly rain attenuation statistics by means of the Stratiform/Convective (SC) EXCELL model. The assumption put forth in this contribution is that, although developed for the prediction of yearly statistics, thanks to its solid physical basis, SC EXCELL can be applied as is also to estimate monthly rain attenuation statistics, provided that suitable inputs (i.e. monthly rain rate statistics and monthly rain height) are used. Preliminary tests are carried out to validate this assumption against the extensive set of rain attenuation data collected at the experimental station of Spino d´Adda during the Italsat propagation experiment (years 1994-2000). The results obtained indicate that SC EXCELL offers satisfactory predictions both of yearly and monthly rain attenuation statistics, the accuracy of the latter being mainly limited by the statistical stability of the measurements.
  • Keywords
    radiowave propagation; rain; statistical analysis; telecommunication computing; Italsat propagation experiment; SC EXCELL model; Spino dAdda; monthly rain attenuation statistics prediction; monthly rain height; monthly rain rate statistics; radio wave propagation; rain attenuation data; solid physical basis; statistical stability; stratiform-convective EXCELL model; Accuracy; Attenuation; Attenuation measurement; Europe; Frequency measurement; Predictive models; Rain; Radiowave propagation; experimental activity; monthly statistics; rain attenuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2013 7th European Conference on
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4673-2187-7
  • Electronic_ISBN
    978-88-907018-1-8
  • Type

    conf

  • Filename
    6546506