1-Min Rain Rate Statistics Predictions From 1-Hour Rain Rate Statistics Measurements

A new method is presented, which allows the recovery of the cumulative distribution function (CDF) of point rain rate with 1-min integration time (<i>P</i>(<i>R</i>)<sub>1</sub>) from rain rate CDFs with longer integration time (in this case, 1-hour time average rain rate statistics <i>P</i>(<i>R</i>)<sub>60</sub>)- The method generates the scaling factors between <i>P</i>(<i>R</i>)<sub>60</sub>) and <i>P</i>(<i>R</i>)<sub>1</sub>) as a function of the probability level and of the site geographical coordinates. From the scaling factors, a scaling law of the form proposed by Chebil and Raman is devised. The method is applicable worldwide and produces predictions far more accurate than the ones provided by general <i>P</i>(<i>R</i>) estimation techniques.

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