The present study utilizes nine years of measurements taken from a Joss-Waldvogel disdrometer (JWD). From this dataset, thirty six rainfall events, were selected and categorized, respectively, in convective and stratiform types, according to specific criteria. Six statistical distributions namely the one-and two-parameter exponential, the two-and three-parameter lognormal and finally the two-and three-parameter gamma were fitted on the observed drop size distributions (DSDs). The goodness-of-fit between each statistical and the observed distribution was determined based on the Kolmogorov-Smirnov test. The results show that 72% of the stratiform events are best described by the three-parameter lognormal distribution while 28% are best described by the three-parameter gamma distribution. In the case of convective events, the results are more diversified; the two-and three-parameter gamma distribution fits best in 39% and 17% of the events, respectively, while the two-and three-parameter lognormal distribution fits best in 6% and 39% of the events. The one-and two-parameter exponential distribution was not the best fit in any case. Moreover, initial steps have already been taken in order for these findings to be used for calibration purposes of a recently employed X-band rainscanner in the Attica region in Greece.
An attempt is made to estimate the basic hydrometeorological variables, namely the rainfall concentration for each bin per m 3 , the radar reflectivity factor Z and the rainfall intensity R, and consequently to determine coefficient Ba^and exponent Bb^of the power law relationship Z=aR b. Data used were recorded in a period of almost 10 years, with a Joss-Walvogel RD-69 disdrometer (JWD), located in the meteorological station of the campus of National Technical University of Athens. A number of rainfall events were selected based on the following criteria: the total rainfall depth of each event was greater than 24.0 mm and the average rainfall intensity exceeded 5.0 mm/h, in order to only study events with increased flash flooding probability. Initially, Drop Size Distributions (DSDs) were calculated for these rainfall events and processed for the derivation of Z-R relationships. Such Z-R relationships were finally derived for the overall spectra of R>5.0 mm/h and for each event separately and were compared with other Z-R relationships found in the literature.
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