A different approach to worst month rain statistics: Theory and experimental results

Authors

  • G. Dellagiacoma,

  • D. Tarducci


Abstract

A different approach to the estimate of “worst month” rain statistics is presented, which allows a rigorous evaluation of the q factor, defined as the ratio between the exceedance probabilities of a rain threshold R (or more generally any given quantity) during the worst month and an average year, which is required in order to estimate the terrestrial and satellite radio links performance, in the light of CCIR recommendations. Because of this formulation, it is possible to calculate several q factor statistical properties, such as moments (average value and standard deviation) and percentiles. The theoretical calculations are then compared with the experimental data, obtained from a very large rain gauge data base available in Italy (organized and worked out by CSELT), with very good results.

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