Articles | Volume 21, issue 5
Research article
10 May 2017
Research article |  | 10 May 2017

Regionalizing nonparametric models of precipitation amounts on different temporal scales

Tobias Mosthaf and András Bárdossy

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Cited articles

Acreman, M. C.: A simple stochastic model of hourly rainfall for Farnborough, England, Hydrolog. Sci. J., 35, 119–148,, 1990.
Anderson, T. W.: On the Distribution of the Two-Sample Cramer-von Mises Criterion, Ann. Math. Statist., 33, 1148–1159,, 1962.
Arns, A., Wahl, T., Dangendorf, S., Mudersbach, C., and Jensen, J.: Ermittlung regionalisierter Extremwasserstände für die Schleswig-Holsteinische Nordseeküste, Hydrologie und Wasserbewirtschaftung, HW57,,6_1, (last access: 28 April 2017), 2013.
Atkinson, K. E.: An Introduction to Numerical Analysis (2nd ed.), John Wiley & Sons, New York, 1989.
Bárdossy, A.: Generating precipitation time series using simulated annealing, Water Resour. Res., 34, 1737–1744,, 1998.
Short summary
Parametric distribution functions are commonly used to model precipitation amounts at gauged and ungauged locations. Nonparametric distributions offer a more flexible way to model precipitation amounts. However, the nonparametric models do not exhibit parameters that can be easily regionalized for application at ungauged locations. To overcome this deficiency, we present a new interpolation scheme for nonparametric models and evaluate the usage of daily gauges for sub-daily resolutions.