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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 12
Hydrol. Earth Syst. Sci., 18, 5331–5344, 2014
https://doi.org/10.5194/hess-18-5331-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 18, 5331–5344, 2014
https://doi.org/10.5194/hess-18-5331-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Dec 2014

Research article | 19 Dec 2014

Imperfect scaling in distributions of radar-derived rainfall fields

M. J. van den Berg1, L. Delobbe2, and N. E. C. Verhoest1 M. J. van den Berg et al.
  • 1Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
  • 2Royal Meteorological Institute, Avenue Circulaire 3, 1180 Uccle, Belgium

Abstract. Fine-scale rainfall observations for modelling exercises are often not available, but rather coarser data derived from a variety of sources are used. Effectively using these data sources in models often requires the probability distribution of the data at the applicable scale. Although numerous models for scaling distributions exist, these are often based on theoretical developments, rather than on data. In this study, we develop a model based on the α-stable distribution of rainfall fields, and tested on 5 min radar data from a Belgian weather radar. We use these data to estimate functions that describe parameters of the distribution over various scales. Moreover, we study how the mean of the distribution and the intermittency change with scale, and validate and design functions to describe the shape parameter of the distribution. This information was combined into an effective model of the distribution.

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