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An energetic perspective on the regional response of precipitation to climate change

Abstract

Understanding and predicting the response of the hydrological cycle to climate change is a major challenge with important societal implications. Much progress has been made in understanding the response of global average precipitation by considering the energy balances of the atmosphere and the surface1,2,3,4,5,6. This energetic perspective reveals that changes in temperature, greenhouse gases, aerosols, solar forcing and cloud feedbacks can all affect the global average rate of precipitation5,7,8,9,10,11. Local precipitation changes have conventionally been analysed using the water vapour budget, but here we show that the energetic approach can be extended to local changes in precipitation by including changes in horizontal energy transport. In simulations of twenty-first century climate change, this energy transport accounts for much of the spatial variability in precipitation change. We show that changes in radiative and surface sensible heat fluxes are a guide to the local precipitation response over land and at large scales, but not at small scales over the ocean, where cloud and water vapour radiative feedbacks dampen the response. The energetic approach described here helps bridge the gap between our understanding of global and regional precipitation changes. It could be applied to better understand the response of regional precipitation to different radiative forcings, including geo-engineering schemes, as well as to understand the differences between the fast and slow responses of regional precipitation to such forcings.

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Figure 1: Spatial pattern of precipitation changes and contributions from the various terms in the energy budget.
Figure 2: Inter-model correlation coefficient between the changes in precipitation and diabatic cooling.
Figure 3: Annual and multimodel-mean change in precipitation and an approximate expression from energy balance.
Figure 4: Annual and multimodel-mean thermodynamic and dynamic contributions to the change in the vertical-advective component of the dry static energy flux divergence.

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References

  1. Mitchell, J. F. B., Wilson, C. A. & Cunnington, W. M. On CO2 climate sensitivity and model dependence of results. Q. J. R. Meteorol. Soc. 113, 293–322 (1987).

    Article  CAS  Google Scholar 

  2. Pierrehumbert, R. T. The hydrologic cycle in deep-time climate problems. Nature 419, 191–198 (2002).

    Article  CAS  Google Scholar 

  3. Allen, M. R. & Ingram, W. J. Constraints on future changes in climate and the hydrologic cycle. Nature 419, 224–232 (2002).

    CAS  Google Scholar 

  4. O’Gorman, P. A. & Schneider, T. The hydrological cycle over a wide range of climates simulated with an idealized GCM. J. Clim. 21, 3815–3832 (2008).

    Article  Google Scholar 

  5. Stephens, G. L. & Ellis, T. D. Controls of global-mean precipitation increases in global warming GCM experiments. J. Clim. 21, 6141–6155 (2008).

    Article  Google Scholar 

  6. Schneider, T., O’Gorman, P. A. & Levine, X. J. Water vapor and the dynamics of climate changes. Rev. Geophys. 48, RG3001 (2010).

    Article  Google Scholar 

  7. Lambert, F. H. & Webb, M. J. Dependency of global mean precipitation on surface temperature. Geophys. Res. Lett. 35, L16706 (2008).

    Article  Google Scholar 

  8. Previdi, M. Radiative feedbacks on global precipitation. Environ. Res. Lett. 5, 025211 (2010).

    Article  Google Scholar 

  9. Ming, Y., Ramaswamy, V. & Persad, G. Two opposing effects of absorbing aerosols on global-mean precipitation. Geophys. Res. Lett. 37, L13701 (2010).

    Article  Google Scholar 

  10. Wild, M. & Liepert, B. The Earth radiation balance as driver of the global hydrological cycle. Environ. Res. Lett. 5, 025203 (2010).

    Article  Google Scholar 

  11. Frieler, K., Meinshausen, M., von Deimling, T. S., Andrews, T. & Forster, P. Changes in global-mean precipitation in response to warming, greenhouse gas forcing and black carbon. Geophys. Res. Lett. 38, L04702 (2011).

    Article  Google Scholar 

  12. Wu, P., Wood, R., Ridley, J. & Lowe, J. Temporary acceleration of the hydrological cycle in response to a CO2 rampdown. Geophys. Res. Lett. 37, L12705 (2010).

    Google Scholar 

  13. Chou, C. & Neelin, J. D. Mechanisms of global warming impacts on regional tropical precipitation. J. Clim. 17, 2688–2701 (2004).

    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. Seager, R., Naik, N. & Vecchi, G. A. Thermodynamic and dynamic mechanisms for large-scale changes in the hydrological cycle in response to global warming. J. Clim. 23, 4651–4668 (2010).

    Article  Google Scholar 

  16. Trenberth, K. E. Changes in precipitation with climate change. Clim. Res. 47, 123–138 (2011).

    Article  Google Scholar 

  17. Xie, S. P. et al. Global warming pattern formation: sea surface temperature and rainfall. J. Clim. 23, 966–986 (2010).

    Article  Google Scholar 

  18. Allan, R. P., Soden, B. J., John, V. O., Ingram, W. & Good, P. Current changes in tropical precipitation. Environ. Res. Lett. 5, 025205 (2010).

    Article  Google Scholar 

  19. Lorenz, D. J., DeWeaver, E. T. & Vimont, D. J. Evaporation change and global warming: The role of net radiation and relative humidity. J. Geophys. Res. 115, D20118 (2010).

    Article  Google Scholar 

  20. Liepert, B. G. & Previdi, M. Do models and observations disagree on the rainfall response to global warming? J. Clim. 22, 3156–3166 (2010).

    Article  Google Scholar 

  21. Sohn, B. J. Cloud-induced infrared radiative heating and its implications for large-scale tropical circulations. J. Atmos. Sci. 56, 2657–2672 (1999).

    Article  Google Scholar 

  22. Hoskins, B. J. & Karoly, D. J. The steady linear response of a spherical atmosphere to thermal and orographic forcing. J. Atmos. Sci. 38, 1179–1196 (1981).

    Article  Google Scholar 

  23. Trenberth, K. E. & Shea, D. J. Relationships between precipitation and surface temperature. Geophys. Res. Lett. 32, L14703 (2005).

    Article  Google Scholar 

  24. Peixoto, J. P. & Oort, A. H. Physics of Climate Ch. 13 (Amer. Inst. of Physics, 1992).

  25. Trenberth, K. E. & Stepaniak, D. P. Covariability of components of poleward atmospheric energy transports on seasonal and interannual timescales. J. Clim. 16, 3691–3705 (2003).

    Article  Google Scholar 

  26. Emori, S. & Brown, S. J. Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate. Geophys. Res. Lett. 32, L17706 (2005).

    Article  Google Scholar 

  27. O’Gorman, P. A. & Schneider, T. The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc. Natl Acad. Sci. USA 106, 14773–14777 (2009).

    Article  Google Scholar 

  28. Muller, C. J., O’Gorman, P. A. & Back, L. E. Intensification of precipitation extremes with warming in a cloud-resolving model. J. Clim. 24, 2784–2800 (2011).

    Article  Google Scholar 

  29. Andrews, T. & Forster, P. M. The transient response of global-mean precipitation to increasing carbon dioxide levels. Environ. Res. Lett. 5, 025212 (2010).

    Article  Google Scholar 

  30. Betts, A. K. Thermodynamic constraint on the cloud liquid water feedback in climate models. J. Geophys. Res. 92, 8483–8485 (1987).

    Article  Google Scholar 

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Acknowledgements

We acknowledge the modelling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP’s Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, US Department of Energy. C.J.M. would like to thank I. Held and G. Vecchi for useful discussions about this work.

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C.J.M. and P.A.O. designed the study. C.J.M. performed the analysis and wrote the paper. Both authors discussed the results and edited the manuscript.

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Correspondence to C. J. Muller.

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The authors declare no competing financial interests.

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Muller, C., O’Gorman, P. An energetic perspective on the regional response of precipitation to climate change. Nature Clim Change 1, 266–271 (2011). https://doi.org/10.1038/nclimate1169

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