Climate Dynamics

, Volume 32, Issue 7–8, pp 1097–1106 | Cite as

Improved confidence in climate change projections of precipitation evaluated using daily statistics from the PRUDENCE ensemble

  • Fredrik BobergEmail author
  • Peter Berg
  • Peter Thejll
  • William J. Gutowski
  • Jens H. Christensen


An ensemble of regional climate modelling simulations from the European framework project PRUDENCE are compared across European sub-regions with observed daily precipitation from the European Climate Assessment dataset by characterising precipitation in terms of probability density functions (PDFs). Models that robustly describe the observations for the control period (1961–1990) in given regions as well as across regions are identified, based on the overlap of normalised PDFs, and then validated, using a method based on bootstrapping with replacement. We also compare the difference between the scenario period (2071–2100) and the control period precipitation using all available models. By using a metric quantifying the deviation over the entire PDF, we find a clearly marked increase in the contribution to the total precipitation from the more intensive events and a clearly marked decrease for days with light precipitation in the scenario period. This change is tested to be robust and found in all models and in all sub-regions. We find a detectable increase that scales with increased warming, making the increase in the PDF difference a relative indicator of climate change level. Furthermore, the crossover point separating decreasing from increasing contributions to the normalised precipitation spectrum when climate changes does not show any significant change which is in accordance with expectations assuming a simple analytical fit to the precipitation spectrum.


Regional climate change Extreme events Precipitation Probability distributions Bootstrapping with replacement Crossing-point statistics 



The authors would like to thank for financial support from the European Union through the ENSEMBLES project (contract number GOCE-CT-2003-505539). Support for William. J. Gutowski’s participation was provided by US National Science Foundation Grant ATM-0633567. Data have been provided through the PRUDENCE data archive, funded by the EU, and the European Climate Assessment (ECA) project (supported by the Network of European Meteorological Services EUMETNET). ECA data are available at


  1. Boberg F, Berg P, Thejll P, Christensen JH (2007) Analysis of temporal changes in precipitation intensities using PRUDENCE data. Danish Climate Centre Report 07-03, CopenhagenGoogle Scholar
  2. Buonomo E, Jones RG, Huntingford C, Hannaford J (2007) On the robustness of changes in extreme precipitation over Europe from two high resolution climate change simulations. Q J R Meteorol Soc 133:65–81CrossRefGoogle Scholar
  3. Christensen JH, Christensen OB (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of the century. Clim Change 81:7–30CrossRefGoogle Scholar
  4. Christensen JH, Carter TR, Rummukainen M, Amanatidis G (2007) Evaluating the performance and utility of regional climate models: the PRUDENCE project. Clim Change 81:1–6CrossRefGoogle Scholar
  5. Dai A (2001) Global precipitation and thunderstorm frequencies. Part I: Seasonal and interannual variations. J Clim 14:1092–1111CrossRefGoogle Scholar
  6. Dessai S, Lu X, Hulme M (2005) Limited sensitivity analysis of regional climate change probabilities for the 21st century. J Geophys Res 110. doi: 10.1029/2005JD005919
  7. Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman & Hall, New YorkGoogle Scholar
  8. Frei C, Christensen JH, Déqué M, Jacob D, Jones RG, Vidale PL (2003) Daily precipitation statistics in regional climate models: evaluation and intercomparison for the European Alps. J Geophys Res 108. doi: 10.1029/2002JD002287
  9. Gutowski WJ Jr, Kozak KA, Arritt RW, Christensen JH, Patton JC, Takle ES (2007) A possible constraint on regional precipitation intensity changes under global warming. J Hydrometeorol 8:1382–1396CrossRefGoogle Scholar
  10. Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded dataset of surface temperature and precipitation for 1950–2006. J Geophys Res (submitted)Google Scholar
  11. Hewitt CD (2005) The ENSEMBLES project: providing ensemble-based predictions of climate changes and their impacts. EGGS Newsl 13:22–25Google Scholar
  12. Klein Tank AMG et al. (2002) Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int J Climatol 22:1441–1453CrossRefGoogle Scholar
  13. Liebmann B, Jones C, de Carvalho LMV (2001) Interannual variability of daily extreme precipitation events in the state of São Paulo, Brazil. J Clim 14:208–218CrossRefGoogle Scholar
  14. Nakićenović N, Alcamo J, Davis J, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, Lebre La Rovere E, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner H-H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) Special report on emission scenarios. A special report of Working Group III for the intergovernmental panel on climate change. Cambridge University Press, LondonGoogle Scholar
  15. Perkins SE, Pitman AJ, Holbrook NJ, McAneney J (2007) Evaluation of the AR4 climate models’ simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions. J Clim 20:4356–4376CrossRefGoogle Scholar
  16. Pope VD, Gallaini ML, Rowntree PR, Stratton RA (2000) The impact of new physical parametrizations in the Hadley centre climate model: HadAM3. Clim Dyn 16:123–146CrossRefGoogle Scholar
  17. Sun Y, Solomon S, Dai A, Portmann RW (2006) How often does it rain?. J Clim 19:916–934CrossRefGoogle Scholar
  18. Sun Y, Solomon S, Dai A, Portmann RW (2007) How often will it rain?. J Clim 20:4801–4818CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Fredrik Boberg
    • 1
    Email author
  • Peter Berg
    • 1
  • Peter Thejll
    • 1
  • William J. Gutowski
    • 2
  • Jens H. Christensen
    • 1
  1. 1.Danish Climate CentreDanish Meteorological InstituteCopenhagen ØDenmark
  2. 2.Department of Geological and Atmospheric SciencesIowa State UniversityAmesUSA

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