1-minute integrated rain rate statistics estimated from Tropical Rainfall Measuring Mission data

• Main Authors: Mohd Aris, Nor Azlan, Luini, Lorenzo, Din, Jafri, Lam, Hong Yin
• Format: Article
• Language: English
• Published: IEEE Antennas and Wireless Propagation Letters 2013
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/8832/1/1-Minute_Integrated_Rain_Rate_Statistics_Estimated_from_Tropical_Rainfall_Measuring_Mission_Data.pdf; http://eprints.utem.edu.my/id/eprint/8832/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6420864

This contribution presents a new model for the prediction of the 1-minute 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 (2 instead of 3) 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.