Climate Dynamics

, Volume 27, Issue 4, pp 401–420 | Cite as

North Atlantic Oscillation response to transient greenhouse gas forcing and the impact on European winter climate: a CMIP2 multi-model assessment

  • D. B. Stephenson
  • V. Pavan
  • M. Collins
  • M. M. Junge
  • R. Quadrelli
  • Participating CMIP2 Modelling Groups
Article

Abstract

This study investigates the response of wintertime North Atlantic Oscillation (NAO) to increasing concentrations of atmospheric carbon dioxide (CO2) as simulated by 18 global coupled general circulation models that participated in phase 2 of the Coupled Model Intercomparison Project (CMIP2). NAO has been assessed in control and transient 80-year simulations produced by each model under constant forcing, and 1% per year increasing concentrations of CO2, respectively. Although generally able to simulate the main features of NAO, the majority of models overestimate the observed mean wintertime NAO index of 8 hPa by 5–10 hPa. Furthermore, none of the models, in either the control or perturbed simulations, are able to reproduce decadal trends as strong as that seen in the observed NAO index from 1970–1995. Of the 15 models able to simulate the NAO pressure dipole, 13 predict a positive increase in NAO with increasing CO2 concentrations. The magnitude of the response is generally small and highly model-dependent, which leads to large uncertainty in multi-model estimates such as the median estimate of 0.0061±0.0036 hPa per %CO2. Although an increase of 0.61 hPa in NAO for a doubling in CO2 represents only a relatively small shift of 0.18 standard deviations in the probability distribution of winter mean NAO, this can cause large relative increases in the probabilities of extreme values of NAO associated with damaging impacts. Despite the large differences in NAO responses, the models robustly predict similar statistically significant changes in winter mean temperature (warmer over most of Europe) and precipitation (an increase over Northern Europe). Although these changes present a pattern similar to that expected due to an increase in the NAO index, linear regression is used to show that the response is much greater than can be attributed to small increases in NAO. NAO trends are not the key contributor to model-predicted climate change in wintertime mean temperature and precipitation over Europe and the Mediterranean region. However, the models’ inability to capture the observed decadal variability in NAO might also signify a major deficiency in their ability to simulate the NAO-related responses to climate change.

References

  1. Alexander LV, Jones PD (2001) Updated precipitation series for the UK and discussion of recent extremes. Atmos Sci Lett 1:142–150CrossRefGoogle Scholar
  2. Alexander MA, Bhatt US, Walsh J, Timlin M, Miller J (2004) The atmospheric response to realistic Arctic Sea Ice anomalies in an AGCM during winter. J Clim 17:890–905CrossRefGoogle Scholar
  3. Ambaum MH, Hoskins BJ, Stephenson DB (2001) Arctic Oscillation or North Atlantic Oscillation? J Clim 14:3495–3507CrossRefGoogle Scholar
  4. Ambaum MHP, Hoskins BJ, Stephenson DB (2002) Corrigendum: Arctic Oscillation or North Atlantic Oscillation? J Clim 15:553CrossRefGoogle Scholar
  5. Barnston AG, Livezey RE (1987) Classification, seasonality and persistence of low-frequency atmospheric circulation patterns. Mon Weather Rev 115:1083–1126CrossRefGoogle Scholar
  6. Benestad RE (2001) The cause of warming over Norway in the ECHAM4/OPYC3 GHG integration, Int J Climatol 21(3):371–387CrossRefGoogle Scholar
  7. Bojariu R (1992) Air temperature over Europe associated to certain oscillating type atmospheric phenomena. Meteorol Hydrol 22:29–32Google Scholar
  8. Branstator G (2002) Circumglobal teleconnections, the jet stream waveguide, and the North Atlantic Oscillation. J Clim 15:1893–1910CrossRefGoogle Scholar
  9. Castanheira JM, Graf H-F (2003) North Pacific–North Atlantic relationships under stratospheric control? J Geophys Res 108:4036. DOI 10.1029/2002JD002754Google Scholar
  10. Chambers JM, Cleveland WS, Kleiner B, Tukey PA (1983) Graphical methods for data analysis. Wadsworth & Brooks/Cole, USAGoogle Scholar
  11. Cleveland WS (1979) Robust locally weighted regression and smoothing scatterplots. J Am Stat Assoc 74:829–836CrossRefGoogle Scholar
  12. Cohen J, Frei A, Rosen RD (2005) The role of boundary conditions in AMIP-2 simulations of the NAO, J Clim 18(7):973–981CrossRefGoogle Scholar
  13. Collins M, Booth BBB, Harris GR, Murphy JM, Sexton DMH, Webb MJ (2006) Towards quantifying uncertainty in transient climate change. Clim Dyn (in press)Google Scholar
  14. Conway D, Wilby RL, Jones PD (1996) Precipitation and air flow indices over the British Isles. Clim Res 7:169–183CrossRefGoogle Scholar
  15. Dai A, Fung IY, Del Genio AD (1997) Surface observed global land precipitation variations during 1900–88. J Clim 10:2943–2962CrossRefGoogle Scholar
  16. Deser C, Blackmon ML (1993) Surface climate variations over the North Atlantic Ocean during winter: 1900–1989. J Clim 10:393–408CrossRefGoogle Scholar
  17. Doblas-Reyes FJ, Pavan V, Stephenson D (2003) The skill of multi-model seasonal forecasts of the wintertime North Atlantic Oscillation. Clim Dyn 21:501–514CrossRefGoogle Scholar
  18. Draper NR, Smith H (1998) Applied regression analysis, 3rd edn. Wiley, pp 736Google Scholar
  19. Feldstein SB (2002) The recent trend and variance increase of the annular mode. J Clim 15:88–94CrossRefGoogle Scholar
  20. Furevik T, Bentsen M, Drange H, Kindem IKT, Kvamstø G, Sorteberg A (2003) Description and validation of the Bergen Climate Model: ARPEGE coupled with MICOM. Clim Dyn 21:27–51. DOI 10.1007/s00382-003-0317-5Google Scholar
  21. Fyfe JC, Boer GJ, Flato GM (1999) The Artic and Antarctic Oscillations and their projected changes under global warming. Geophys Res Lett 26:1601–1604CrossRefGoogle Scholar
  22. Gillett NP, Zwiers FW, Weaver AJ, Hegerl GC, Allen MR, Stott PA (2002) Detecting anthropogenic influence with a multi-model ensemble. Geophys Res Lett 29(20):1970. DOI 10.1029/2002GL015836Google Scholar
  23. Gillett NP, Zwiers FW, Weaver AJ, Stott PA (2003) Detection of human influence on sea-level pressure. Nature 422:292–294CrossRefGoogle Scholar
  24. Giorgi F, Francisco R (2000) Uncertainties in regional climate change prediction: a regional analysis of ensemble simulations with the HADCM2 coupled AOGCM. Clim Dyn 16:169–182CrossRefGoogle Scholar
  25. Glowienka-Hense R (1990) The North Atlantic Oscillation in the Atlantic–European SLP. Tellus 42A:497–507Google Scholar
  26. Harrison MSJ, Palmer TN, Richardson DS, Buizza R, Petroliagis T (1996) Joint ensembles from the UKMO and ECMWF models. In: European Centre for Medium-Range Weather Forecasts (ed) On proceedings of ECMWF seminar on predictability, 4–8 September 1995Google Scholar
  27. Holland MM (2003) The North Atlantic Oscillation—Arctic oscillation in the CCSM2 and its influence on Arctic climate variability. J Clim 16:2767–2781CrossRefGoogle Scholar
  28. Hu ZZ, Wu ZH (2004) The intensification and shift of the annual North Atlantic Oscillation in a global warming scenario simulation, Tellus Series A 56(2):112–124CrossRefGoogle Scholar
  29. Hurrell JW (1995) Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation. Science 269:676–679CrossRefGoogle Scholar
  30. Hurrell JW, van Loon H (1997) Decadal variations in climate associated with the North Atlantic Oscillation. Clim Change 36:301–326CrossRefGoogle Scholar
  31. Hurrell JW, Hoerling MP, Phillips AS, Xu T (2004) Twentieth century North Atlantic climate change. Part 1: assessing determinism. Clim Dyn 23(3–4):371–389Google Scholar
  32. IPCC (2001) Climate Change 2001: Synthesis Report. In: Watson RT, Core Writing Team (eds) Cambridge University Press, Cambridge, 398 ppGoogle Scholar
  33. Jones PD, Raper SCB, Bradley RS, Diaz HF, Kelly PM, Wigley TML (1986) Northern hemisphere surface air temperature variations, 1851–1984. J Clim Appl Meteorol 25:161–179CrossRefGoogle Scholar
  34. Krishnamurti TN, Kishtawal CM, Timoty EL, Bachiochi DR, Zhang Z, Williford CE, Gadgil S, Surendran S (1999) Improved weather and seasonal climate forecasts from multimodel superensemble. Science 285:1548–1550CrossRefGoogle Scholar
  35. Kuzmina SI, Bengtsson L, Johannenssen OM, Drange H, Bobylev LP, and Miles MW (2005) The North Atlantic Oscillation and greenhouse-gas forcing. G.R.L. 32:L04703. DOI 10.1029/2004GL021064Google Scholar
  36. Kvamsto NG, Skeie P, Stephenson DB (2004) Impact of Labrador sea-ice on the North Atlantic Oscillation, Int J Clim 24:603–612CrossRefGoogle Scholar
  37. Lamb PJ, Peppler RA (1987) North Atlantic Oscillation: concept and an application. Bull Am Meteor Soc 68:1218–1225CrossRefGoogle Scholar
  38. Liu XY, Zhang XH, Yu YQ,Yu RC (2004) Mean climate characteristics in high northern latitudes in an ocean-sea ice-atmosphere coupled model. Adv Atmos Sci 21:236–244CrossRefGoogle Scholar
  39. Marshall J, Kushnir Y, Battisti D, Chang P, Czaja A, Dickson R, Hurrell J, McCartney M, Saravanan R, Visbeck M (2001) North Atlantic climate variability: phenomena, impacts and mechanisms. Int J Climatol 21:1863–1898CrossRefGoogle Scholar
  40. Meehl GA, Boer GJ, Covey C, Latif M, Stouffer RJ (2000) The coupled model intercomparison project (CMIP). Bull Am Met Soc 81:313–318CrossRefGoogle Scholar
  41. Min S-K, Legutke S, Hense A, Kwon W-T (2005) Internal variability in a 1000-year control simulation with the coupled climate model ECHO-G. II: El Niño Southern Oscillation and North Atlantic Oscillation. Tellus 57A:622–640Google Scholar
  42. Mosedale TJ, Stephenson DB, Collins M, and Mills TC (2005) Granger causality of coupled climate processes: ocean feedback on the North Atlantic Oscillation. J Clim (in press)Google Scholar
  43. Mosedale TJ, Stephenson DB, Collins M, and Mills TC (2006) Granger causality of coupled climate processes: ocean feedback on the North Atlantic Oscillation. J Clim 19(7):1182–1194CrossRefGoogle Scholar
  44. Murphy JM, Sexton DMH, Barnett DN, Jones GS, Webb MJ, Collins M, Stainforth DA (2004) Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 430:768–772CrossRefGoogle Scholar
  45. Osborn TJ (2002) The winter North Atlantic Oscillation: roles of internal variability and greenhouse gas forcing. Exchanges, pp 25Google Scholar
  46. Osborn TJ (2004) Simulating the winter North Atlantic Oscillation: the roles of internal variability and greenhouse gas forcing. Clim Dyn 22:605–623CrossRefGoogle Scholar
  47. Osborn TJ, Briffa KR, Tett SFB, Jones PD, Trigo RM (1999) Evaluation of the North Atlantic Oscillation as simulated by a coupled climate model. Clim Dyn, 15:685–702CrossRefGoogle Scholar
  48. Overland JE, Wang M (2005) The Arctic climate paradox: The recent decrease of the Arctic Oscillation, Geophys Res Lett 32 (6): art. no. L06701Google Scholar
  49. Paeth H, Hense A, Glowienka-Hense R Voss R (1999) The North Atlantic Oscillation as an indicator for greenhouse-gas induced regional climate change. Clim Dyn 15:953–960CrossRefGoogle Scholar
  50. Palmer TN, Branković Č, Richardson DS (2000) A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations. Q J Meteorol Soc, 126:2013–2033CrossRefGoogle Scholar
  51. Pavan V, Doblas-Reyes F (2000) Multi-model seasonal hindcasts over the Euro-Atlantic: skill scores and dynamic features. Clim Dyn 16:611–625CrossRefGoogle Scholar
  52. Pavan V, Marchesi S, Morgillo A, Cacciamani C, Doblas-Reyes FJ (2005) Downscaling of DEMETER winter seasonal hindcasts over Northern Italy. Tellus 57A:424–434Google Scholar
  53. Pittalwala II, Hameed S (1991) Simulation of the North-Atlantic Oscillation in a general-circulation model. Tellus 18(5):841–844Google Scholar
  54. Plaut G, Simonnet E (2001) Large-scale circulation classification, weather regimes, and local climate over France, the Alps and Western Europe. Climate Res 17:303–324CrossRefGoogle Scholar
  55. Rauthe M, Paeth H (2004) Relative importance of Northern Hemisphere Circulation models in predicting regional climate change. J Clim 17:4180–4189CrossRefGoogle Scholar
  56. Rauthe M, Hense MA, Paeth H (2004) A model intercomparison study of climate change signals in the extratropical circulation. Int J Climatol 24:643–662CrossRefGoogle Scholar
  57. Rodò X, Baert E, Comin FA (1997) Variations in seasonal rainfall in Southern Europe during the present century: relationship with the North Atlantic Oscillation and the El Niño-Southern Oscillation. Clim Dyn 13:275–284CrossRefGoogle Scholar
  58. Scaife AA, Knight JR, Vallis GK, and Folland CK (2005) A stratospheric influence on the winter NAO and North Atlantic surface climate, Geophys Res Lett 32:L18715. DOI 10.1029/2005GL023226Google Scholar
  59. Slonosky VC, Yiou P (2001) the North Atlantic Oscillation and its relationship with near surface temperature. Geophys Res Lett 28:807–810CrossRefGoogle Scholar
  60. Stainforth DA, Aina T, Christensen C, Collins M, Faull N, Frame DJ, Kettleborough JA, Knight S, Martin A, Murphy JM, Piani C, Sexton D, Smith LA, Spicer RA, Thorpe AJ, Allen MR (2005) Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature 433:403–406CrossRefGoogle Scholar
  61. Stenchikov G, Robock A, Ramaswamy V, Schwarzkopf MD, Hamilton K, Ramachandran S (2002) Arctic oscillation response to the 1991 Mount Pinatubo eruption: effects of volcanic aerosols and ozone depletion. J Geophys Res 107(D24):4803. DOI 10.1029/2002JD002090Google Scholar
  62. Stephenson DB, Pavan V (2003) The North Atlantic Oscillation in coupled climate models: a CMIP1 evaluation. Clim Dyn 20:381–399Google Scholar
  63. Stephenson DB, Pavan V, Bojariu R (2000) Is the North Atlantic Oscillation a random walk? Int J Climatol 20:1–18CrossRefGoogle Scholar
  64. Stephenson DB, Wanner H, Broennimann S, Luterbacher J (2002) The History of Scientific Research on the North Atlantic Oscillation. In: Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (eds) The North Atlantic Oscillation: climatic significance and environmental impact. Geophysical Monograph 134, American Geophysical Union, Washington, pp 37–50Google Scholar
  65. Terray L, Demory M.-E, Deque M, de Coetlogon G, Maisonnave E (2004) Simulation of late twenty-first century changes in wintertime atmospheric circulation over Europe due to anthropogenic causes. J Clim 17(24):4630–4635CrossRefGoogle Scholar
  66. Thompson DWJ, Wallace JM (2001) Regional climate impacts of the Northern Hemisphere annular mode. Science 293:85–89CrossRefGoogle Scholar
  67. Trenberth KE, Paolino DA Jr (1980) The Northern Hemisphere sea-level pressure data set: Trends, errors and discontinuities. Mon Wea Rev 108:855–872CrossRefGoogle Scholar
  68. Trigo IF, Davies TD, Bigg GR (2000) Decline in Mediterranean rainfall caused by weakening of Mediterranean cyclones. Geophys Res Lett 27(28):2913–2916CrossRefGoogle Scholar
  69. Ulbrich U, Christoph M (1999) A shift of the NAO and increasing storm track activity over Europe due to anthropogenic greenhouse gas forcing. J Clim 15(7):551–559Google Scholar
  70. Venables WN, Ripley BD (2002) Modern applied statistics with S. Springer, Berlin Heidelberg New York Google Scholar
  71. Wallace JM, Zhang Y, Bajuk L (1996) Interpretation of interdecadal trends in Northern Hemisphere surface air temperature. J Clim 9:249–259CrossRefGoogle Scholar
  72. Wanner H, Bronnimann S, Casty C, Gyalistras D, Luterbacher J, Schmutz C, Stephenson DB, Xoplaki E (2001) North Atlantic Oscillation—concepts and studies. Surv Geophys 22:321–382CrossRefGoogle Scholar
  73. The WASA Group (1998) Changing waves and storms in the Northeast Atlantic? Bull Am Met Soc 79:741–760CrossRefGoogle Scholar
  74. Wibig J (1999) Precipitation in Europe in relation to circulation patterns at the 500 hPa level. Int J Climatol 19:253–269CrossRefGoogle Scholar
  75. Xie P, Arkin PA (1996) Analyses of global monthly precipitation using gauge observations, satellite estimates and numerical model predictions. J Clim 9:840–858CrossRefGoogle Scholar
  76. Zhou T, Zhang X-H, Yu Y-Q, Yu R, Wang S (2000) The North Atlantic Oscillation simulated by versions 2 and 4 of IAP/LASG GOALS Model. Adv Atmos Sci 17(4):601–616CrossRefGoogle Scholar
  77. Zorita E, Gonzàlez-Rouco F (2000) Disagreement between predictions of the future behaviour of the Arctic Oscillation as simulated in two different climate models: implications for global warming. Geophys Res Lett 27:1755–1758CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • D. B. Stephenson
    • 1
  • V. Pavan
    • 2
  • M. Collins
    • 3
  • M. M. Junge
    • 4
  • R. Quadrelli
    • 5
  • Participating CMIP2 Modelling Groups
  1. 1.Department of MeteorologyUniversity of ReadingReadingUK
  2. 2.ARPA-SIMBolognaItaly
  3. 3.Hadley CentreMet OfficeExeterUK
  4. 4.Meteorologisches InstitutUniversität HamburgHamburgGermany
  5. 5.University of WashingtonSeattleUSA

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