Fine-scale rainfall observations for modelling exercises are often notavailable, but rather coarser data derived from a variety of sources areused. Effectively using these data sources in models often requires theprobability distribution of the data at the applicable scale. Althoughnumerous models for scaling distributions exist, these are often based ontheoretical developments, rather than on data. In this study, we develop amodel based on the α-stable distribution of rainfall fields, andtested on 5 min radar data from a Belgian weather radar. We use these datato estimate functions that describe parameters of the distribution overvarious scales. Moreover, we study how the mean of the distribution and theintermittency change with scale, and validate and design functions todescribe the shape parameter of the distribution. This information wascombined into an effective model of the distribution.
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