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

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4 Author(s)
Nor Azlan Mohd Aris ; Department of Telecommunication, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM) ; Lorenzo Luini ; Jafri Din ; Hong Yin Lam

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.

Published in:

IEEE Antennas and Wireless Propagation Letters  (Volume:12 )