• DocumentCode
    28893
  • Title

    1-Minute Integrated Rain Rate Statistics Estimated From Tropical Rainfall Measuring Mission Data

  • Author

    Mohd Aris, Nor Azlan ; Luini, Lorenzo ; Din, Jafri ; Hong Yin Lam

  • Author_Institution
    Dept. of Telecommun., Univ. Teknikal Malaysia Melaka (UTeM), Skudai, Malaysia
  • Volume
    12
  • fYear
    2013
  • fDate
    2013
  • Firstpage
    132
  • Lastpage
    135
  • Abstract
    This letter presents a new model for the prediction of the 1-min integrated complementary cumulative distribution function (CCDF) of the rain rate, P(R)1, valid for tropical and equatorial regions (specifically, latitudes ranging from 35°S to 35°N). The proposed model inherits its analytical formulation from the method currently recommended by the International Telecommunication Union - Radiocommunication Sector (ITU-R) for global P(R)1 prediction (Annex 1 of recommendation P.837-6), but it relies on Tropical Rainfall Measuring Mission (TRMM) data, in place of the ERA40 database, for the extraction of the required local meteorological inputs. With respect to the ITU-R model, the proposed model requires a lower number of inputs (two instead of three) and, in addition, it shows a better P(R)1 prediction performance when tested against the experimental P(R)1 curves (tropical/equatorial sites) included in the global DBSG3 database of ITU-R.
  • Keywords
    meteorology; radiocommunication; radiowave propagation; rain; 1-minute integrated rain rate statistics; CCDF; ITU-R; International Telecommunication Union - Radiocommunication Sector; complementary cumulative distribution function; local meteorological inputs; tropical rainfall measuring mission data; Accuracy; Analytical models; Data mining; Databases; Predictive models; Rain; Spatial resolution; 1-min integrated rain rate statistics; Tropical Rainfall Measuring Mission (TRMM); equatorial; radiowave propagation; tropical;
  • fLanguage
    English
  • Journal_Title
    Antennas and Wireless Propagation Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1225
  • Type

    jour

  • DOI
    10.1109/LAWP.2013.2243103
  • Filename
    6420864