Based on the ITU-R Rec. P.837-5, a simplified model for the prediction of the 1-min cumulative distribution function of rain rate (P(R)) is proposed and tested. Two out of the three input parameters of the ITU-R model, i.e. the 6-hour rainy period probability Pr6 and the convective-over-total precipitation ratio  are replaced by their average values computed for seven latitude belts identified during the study. The third parameter, the yearly rain amount Mt, is the only site specific input. Tests have shown the ability of the proposed model to reproduce measured P(R)s with very good approximation.

One-Parameter Model for the Prediction of Cumulative Rain Statistics: Preliminary Results

CAPSONI, CARLO;LUINI, LORENZO;
2007-01-01

Abstract

Based on the ITU-R Rec. P.837-5, a simplified model for the prediction of the 1-min cumulative distribution function of rain rate (P(R)) is proposed and tested. Two out of the three input parameters of the ITU-R model, i.e. the 6-hour rainy period probability Pr6 and the convective-over-total precipitation ratio  are replaced by their average values computed for seven latitude belts identified during the study. The third parameter, the yearly rain amount Mt, is the only site specific input. Tests have shown the ability of the proposed model to reproduce measured P(R)s with very good approximation.
2007
11th URSI Commission F Triennial Open Symposium on Radio Wave Propagation and Remote Sensing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/255569
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