Test of the probability formulation of the Synthetic Storm Technique against reliable measurements of rain rate and rain attenuation

The Synthetic Storm Technique (SST) is a powerful and accurate tool that can produce all the necessary statistics of rain attenuation. Starting from time series of rain rate, collected at a site with a rain gauge, the SST can generate rain attenuation time series at any frequency and polarization, and for any slant path above about 10°, as long as the hypothesis of isotropy of the rainfall spatial field holds in the long term. Recently, we have found that the pdf generated by the SST can be quite well reproduced by a simple relationship. The aim of this paper is to test the probability formulation of the Synthetic Storm Technique and compare its prediction with those of all other prediction models, by using a 10-year data bank of substantially concurrent rain rate and rain attenuation measurements collected in Neyagawa (Japan).