Increase in hourly precipitation extremes beyond expectations from temperature changes (original) (raw)

Nature Geoscience volume 1, pages 511–514 (2008) Cite this article

Abstract

Changes in precipitation extremes under greenhouse warming are commonly assumed to be constrained by changes in the amounts of precipitable water in the atmosphere1,2,3,4. Global climate models generally predict only marginal changes in relative humidity5, implying that the actual amount of atmospheric precipitable water scales with the water vapour content of saturation, which is governed by the Clausius–Clapeyron relation. Indeed, changes in daily precipitation extremes in global climate models seem to be consistent with the 7% increase per degree of warming given by the Clausius–Clapeyron relation3,4, but it is uncertain how general this scaling behaviour is across timescales. Here, we analyse a 99-year record of hourly precipitation observations from De Bilt, the Netherlands, and find that one-hour precipitation extremes increase twice as fast with rising temperatures as expected from the Clausius–Clapeyron relation when daily mean temperatures exceed 12 ∘C. In addition, simulations with a high-resolution regional climate model show that one-hour precipitation extremes increase at a rate close to 14% per degree of warming in large parts of Europe. Our results demonstrate that changes in short-duration precipitation extremes may well exceed expectations from the Clausius–Clapeyron relation. These short-duration extreme events can have significant impacts, such as local flooding, erosion and water damage.

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Figure 1: Percentiles of precipitation intensity on a logarithmic scale as a function of temperature.

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Figure 2: Normalized change of extreme hourly and daily summer precipitation in a climate change simulation.

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References

  1. Trenberth, K. E., Dai, A., Rasmussen, R. & Parsons, D. The changing character of precipitation. Bull. Am. Meteorol. Soc. 84, 1205–1217 (2003).
    Article Google Scholar
  2. Hegerl, G. et al. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate 664–745 (Cambridge Univ. Press, Cambridge, 2007).
    Google Scholar
  3. Pall, P., Allen, M. & Stone, D. Testing the Clausius–Clapeyron constraint on changes in extreme precipitation under CO2 warming. Clim. Dyn. 28, 351–363 (2007).
    Article Google Scholar
  4. Allen, M. R. & Ingram, W. J. Constraints on the future changes in climate and the hydrological cycle. Nature 419, 224–232 (2002).
    Google Scholar
  5. Bony, S. et al. How well do we understand and evaluate climate change feedback processes? J. Clim. 19, 3445–3482 (2006).
    Article Google Scholar
  6. Semenov, V. & Bengtsson, L. Secular trends in daily precipitation characteristics: Greenhouse gas simulation with a coupled AOGCM. Clim. Dyn. 19, 123–140 (2002).
    Article Google Scholar
  7. Frei, C., Schöll, R., Fukutome, S., Schmidli, J. & Vidale, P. Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models. J. Geophys. Res. 111, D06105 (2006).
    Article Google Scholar
  8. Emori, S. & Brown, S. Dynamic and thermodynamic change in mean and extreme precipitation under climate change. Geophys. Res. Lett. 32, L17706 (2005).
    Article Google Scholar
  9. van Ulden, A. P. & van Oldenborgh, G. Large-scale atmospheric circulation biases in global climate model simulations and their importance for climate change in central Europe. Atmos. Chem. Phys. 6, 863–881 (2006).
    Article Google Scholar
  10. Trapp, R. J. et al. Changes in severe thunderstorm environment frequency during the 21st century caused by anthropogenically enhanced global radiative forcing. Proc. Natl Acad. Sci. 104, 19719–19723 (2007).
    Article Google Scholar
  11. Baker, M. B. & Peter, T. Small-scale cloud processes and climate. Nature 451, 299–300 (2008).
    Article Google Scholar
  12. Trenberth, K. E. Atmospheric moisture recycling: Role of advection and local evaporation. J. Clim. 12, 1368–1381 (1999).
    Article Google Scholar
  13. Ingram, W. J. On the robustness of the water vapor feedback: GCM vertical resolution and formulation. J. Clim. 15, 1917–1921 (2002).
    Article Google Scholar
  14. Held, I. M. & Soden, B. J. Robust responses of the hydrological cycle to global warming. J. Clim. 19, 5686–5699 (2006).
    Article Google Scholar
  15. Guichard, F. et al. Modelling the diurnal cycle of deep precipitating convection over land with cloud-resolving models and single-column models. Q. J. R. Meteorol. Soc. 130, 3139–3172 (2004).
    Article Google Scholar
  16. Lenderink, G., van den Hurk, B., van Meijgaard, E., van Ulden, A. & Cuijpers, H. Simulation of present-day climate in RACMO2: First results and model developments. Tech. Rep. TR-252 (Royal Netherlands Meteorological Institute, De Bilt, 2003).
  17. Lenderink, G., van Meijgaard, E. & Selten, F. Intense coastal rainfall in the Netherlands in response to high sea water temperatures: Analysis of the event of august 2006 from the perspective of a changing climate. Clim. Dyn. (2008, in the press).
  18. Lenderink, G., van Ulden, A., van den Hurk, B. & Keller, F. A study on combining global and regional climate model results for generating climate scenarios of temperature and precipitation for the Netherlands. Clim. Dyn. 29, 157–176 (2007).
    Article Google Scholar
  19. Schneider, T. & O’Gorman, P. A. Proc. Hawaiian Aha Huliko’a Winter Workshop 61–66 (University of Hawaii, Honolulu, 2007).
    Google Scholar
  20. <http://www.knmi.nl/klimatologie/onderzoeksgegevens/index.html>.
  21. Uppala, S. et al. The ERA-40 re-analysis. Q. J. R. Meteorol. Soc. 131, 2961–3012 (2005).
    Article Google Scholar
  22. Hewitt, C. & Griggs, D. Ensembles-based predictions of climate changes and their impacts (ENSEMBLES). Eos 85, 566 (2004).
    Article Google Scholar

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Acknowledgements

Financial support by the EU FP6 Integrated Project ENSEMBLES (Contract number 505539) and the Dutch Climate Change and Spatial Planning program (BSIK) is gratefully acknowledged. We thank G. J. v. Oldenborgh, F. Selten, R. Haarsma, A. v. Ulden and R. Boers for comments on earlier drafts of this paper. This work is partly motivated by earlier unpublished work on precipitation temperature relations by A. Klein Tank and G. Können.

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Authors and Affiliations

  1. Royal Netherlands Meteorological Institute (KNMI), 3730 AE De Bilt, The Netherlands
    Geert Lenderink & Erik van Meijgaard

Authors

  1. Geert Lenderink
  2. Erik van Meijgaard

Contributions

The main idea and most analyses were by G.L and E.v.M. carried out the regional climate simulations and contributed to the text.

Corresponding author

Correspondence toGeert Lenderink.

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Lenderink, G., van Meijgaard, E. Increase in hourly precipitation extremes beyond expectations from temperature changes.Nature Geosci 1, 511–514 (2008). https://doi.org/10.1038/ngeo262

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