Articles | Volume 21, issue 1
Research article
20 Jan 2017
Research article |  | 20 Jan 2017

Formulating and testing a method for perturbing precipitation time series to reflect anticipated climatic changes

Hjalte Jomo Danielsen Sørup, Stylianos Georgiadis, Ida Bülow Gregersen, and Karsten Arnbjerg-Nielsen

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Data-driven distinction between convective, frontal and mixed extreme rainfall events in radar data
Emma Dybro Thomassen, Hjalte Jomo Danielsen Sørup, Marc Scheibel, Thomas Einfalt, and Karsten Arnbjerg-Nielsen
Hydrol. Earth Syst. Sci. Discuss.,,, 2020
Preprint withdrawn
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Explorative Analysis of Long Time Series of Very High Resolution Spatial Rainfall
Emma Dybro Thomassen, Hjalte Jomo Danielsen Sørup, Marc Scheibel, Thomas Einfalt, and Karsten Arnbjerg-Nielsen
Hydrol. Earth Syst. Sci. Discuss.,,, 2018
Revised manuscript not accepted
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Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator
Hjalte Jomo Danielsen Sørup, Ole Bøssing Christensen, Karsten Arnbjerg-Nielsen, and Peter Steen Mikkelsen
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On the importance of observational data properties when assessing regional climate model performance of extreme precipitation
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Hydrol. Earth Syst. Sci., 17, 4323–4337,,, 2013

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Subject: Urban Hydrology | Techniques and Approaches: Modelling approaches
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Cited articles

Ailliot, P., Thompson, C., and Thomson, P.: Space-time modelling of precipitation by using a hidden Markov model and censored Gaussian distributions, J. Roy. Stat. Soc. C-App., 58, 405–426,, 2009.
Arnbjerg-Nielsen, K., Funder, S. G., and Madsen, H.: Identifying climate analogues for precipitation extremes for Denmark based on RCM simulations from the ENSEMBLES database, Water Sci. Technol., 71, 418–425,, 2015a.
Arnbjerg-Nielsen, K., Leonardsen, L., and Madsen, H.: Evaluating adaptation options for urban flooding based on new high-end emission scenario regional climate model simulations, Clim. Res., 64, 73–84,, 2015b.
Barbu, V. and Limnios, N.: Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis, Springer, New York, NY, USA,, 2008.
Berndtsson, R. and Niemczynowicz, J.: Spatial and temporal scales in rainfall analysis: Some aspects and future perspectives, J. Hydrol., 100, 293–313,, 1988.
Short summary
In this study we propose a methodology changing present-day precipitation time series to reflect future changed climate. Present-day time series have a much finer resolution than what is provided by climate models and thus have a much broader application range. The proposed methodology is able to replicate most expectations of climate change precipitation. These time series can be used to run fine-scale hydrological and hydraulic models and thereby assess the influence of climate change on them.