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Climatic Change

, Volume 79, Issue 1–2, pp 31–63 | Cite as

Challenges posed by and approaches to the study of seasonal-to-decadal climate variability

  • Cornelia Schwierz
  • Christof Appenzeller
  • Huw C. Davies
  • Mark A. Liniger
  • Wolfgang Müller
  • Thomas F. Stocker
  • Masakazu Yoshimori
Original Article

Abstract

The tasks of providing multi-decadal climate projections and seasonal plus sub-seasonal climate predictions are of significant societal interest and pose major scientific challenges. An outline is presented of the challenges posed by, and the approaches adopted to, tracing the possible evolution of the climate system on these various time-scales. First an overview is provided of the nature of the climate system’s natural internal variations and the uncertainty arising from the complexity and non-linearity of the system. Thereafter consideration is given sequentially to the range of extant approaches adopted to study and derive multi-decadal climate projections, seasonal predictions, and significant sub-seasonal weather phenomena. For each of these three time-scales novel results are presented that indicate the nature (and limitations) of the models used to forecast the evolution, and illustrate the techniques adopted to reduce or cope with the forecast uncertainty. In particular, the contributions (i) appear to exemplify that in simple climate models uncertainties in radiative forcing outweigh uncertainties associated with ocean models, (ii) examine forecast skills for a state-of-the-art seasonal prediction system, and (iii) suggest that long-lived weather phenomena can help shape intra-seasonal climate variability. Finally, it is argued, that co-consideration of all these scales can enhance our understanding of the challenges associated with uncertainties in climate prediction.

Keywords

Climate Sensitivity North Atlantic Oscillation North Atlantic Oscillation Index Skill Score Multimodel Ensemble 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Allen, M.: 1999, ‘o-It-Yourself Climate Prediction,’ Nature 401(6754), 642.CrossRefGoogle Scholar
  2. Allen, M., Raper, S. and Mitchell, J.: 2001, ‘Uncertainty in the IPCC’s Third Assessment Report,’ Science 293(5529), 430–433.CrossRefGoogle Scholar
  3. Allen, M. R. and Stainforth, D. A.: 2002, ‘Towards Objective Probabilistic Climate Forecasting,’ Nature 419(6903), 228.CrossRefGoogle Scholar
  4. Allen, M. R., Stott, P. A., Mitchell, J. F. B., Schnur R. and Delworth T. L.: 2000, ‘Quantifying the Uncertainty in Forecasts of Anthropogenic Climate Change,’ Nature 407(6804), 617–620.CrossRefGoogle Scholar
  5. Anderson, J. L.: 1993, ‘The climatology of blocking in a numerical forecast model,’ J. Climate 6(6), 1041–1056.CrossRefGoogle Scholar
  6. Anderson, T. L., Charlson, R. J., Schwartz, S. E., Knutti, R., Boucher, O., Rodhe, H. and Heintzerberg, J.: 2003a, ‘Climate Forcing by Aerosols — a Hazy picture,’ Science 300(5622),1103–1104.CrossRefGoogle Scholar
  7. Anderson, D. L., Stockdale, T., Balmaseda, M., Ferranti, L., Vitard, F., Doblas-Reyes, F. J., Hagedorn R., Jung, T., Vidard, A., Troccoli, A. and Palmer, T. N.: 2003b, ‘Comparison of the ECMWF seasonal forecast systems 1 and 2, including the relative performance for the 1997/8 El Nño,’ Vol. 404 of ECMWF Technical Memorandum. ECMWF, p. 93.Google Scholar
  8. Andronova, N. G. and Schlesinger M. E.: 2001, ‘Objective Estimation of the Probability Density Function for Climate Sensitivity,’ J. Geophys. Res. 106(D19), 22605–22611.CrossRefGoogle Scholar
  9. Annan, J. D., Hargreaves, J. C., Edwards, N. R. and Marsh R.: 2005, ‘Parameter estimation in an intermediate complexity Earth System Model using an ensemble Kalman filter,’ Ocean Modeling 8(1–2), 135–154.CrossRefGoogle Scholar
  10. Appenzeller, C., Stocker, F. and Anklin M.: 1998, ‘North Atlantic Oscillation dynamics recorded in Greenland Ice Cores,’ Science 282, 446–449.CrossRefGoogle Scholar
  11. Bader, J. and Latif M.: 2003, ‘The impact of decadal-scale Indian Ocean sea surface temperature anomalies on Sahelian rainfall and the North Atlantic Oscillation,’ Geophys. Res. Let. 30, 1–4.CrossRefGoogle Scholar
  12. Baldwin, M. P. and Dunkerton T. J.: 2001, ‘Stratospheric Harbingers of Anomalous Weather Regimes,’ Science 294(5542), 581–584.CrossRefGoogle Scholar
  13. Baldwin, M. P., Stephenson, D. B., Thompson, D. W. J., Dunkerton, T. J., Charlton, A. J. and OíNeill A.: 2003, ‘Stratospheric Memory and Skill of Extended-Range Weather Forecasts,’ Science 301, 636–640.CrossRefGoogle Scholar
  14. Barnston, A. G., Glantz, M. H. and He, Y. X.: 1999a, ‘Predictive skill of statistical and dynamical climate models in SST forecasts during the 1997–1998 El Nño episode and the 1998 La Nña onset,’ Bull. Amer. Meteor. Soc. 80(2), 217–243.CrossRefGoogle Scholar
  15. Barnston, A. G., Leetmaa, A., Kousky, V. E., Livezey, R. E., O’Lenic, E., Van den Dool, H., Wagner, A. J. and Unger, D. A.: 1999b, ‘NCEP Forecasts of the El Nño of 1997/1998 and its U.S. Impacts,’ Bull. Amer. Meteor. Soc. 80(9), 1829–1852.CrossRefGoogle Scholar
  16. Berggren, R., Bolin, B. and Rossby, C. G.: 1949, ‘An aerological study of zonal motion, its perturbations and breakdown,’ Tellus 1, 14–37.Google Scholar
  17. Bjerknes, J.: 1964, ‘Atlantic air-sea interaction,’ Advances in Geophysics 10, 1–82.Google Scholar
  18. Bretherton, C. S. and Battisti, D. S.: 2000, ‘An interpretation of the results from atmospheric general circulation models forced by the time history of the observed sea surface temperature distribution,’ Geophys. Res. Let. 27(6), 767–770.CrossRefGoogle Scholar
  19. Budyko, M. I.: 1969, ‘Effect of Solar Radiation Variations on Climate of earth,’ Tellus 21(5), 611–619.Google Scholar
  20. Buizza, R., Miller, M. and Palmer, T. N.: 1999, ‘Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System,’ Quart. J. Roy. Meteor. Soc. 125(560), 2887–2908.CrossRefGoogle Scholar
  21. Cassou, C., Terray, L., Hurrell, J. W. and Deser, C.: 2004, ‘North Atlantic winter climate regimes: Spatial asymmetry, stationarity with time, and oceanic forcing,’ J. Climate 17(5), 1055–1068.CrossRefGoogle Scholar
  22. Cerlini, P. B., Corti, S. and Tibaldi, S.: 1999, ‘An intercomparison between low-frequency variability indices,’ Tellus A 51(5), 773–789.CrossRefGoogle Scholar
  23. Charney, J. G. and DeVore, J. G.: 1979, ‘Multiple Flow Equilibria in the Atmosphere and Blocking,’ J.,Atmos.,Sci. 36, 1205–1216.CrossRefGoogle Scholar
  24. Chen, W. Y. and van den Dool, H. M.: 1999, ‘Significant change of extratropical natural variability and potential predictability associated with the El Nino/Southern Oscillation,’ Tellus A 51(5), 790–802.CrossRefGoogle Scholar
  25. Claussen, M., Mysak, L. A., Weaver, A. J., Crucifix, M., Fichefet, T., Loutre, M.-F., Weber, S. L., Alacamo, J., Alexeev, V. A., Berger, A., Calov, R., Ganopolski, A., Goosse, H., Lohmann, G., Lunkeit, F., Mokhov, I. I., Petoukhov, V., Stone, P. and Wang, Z.: 2002, ‘Earth System Models of Intermediate Complexity: Closing the Gap in the Spectrum of Climate System Models,’ Clim. Dyn. 18(7), 579–586.CrossRefGoogle Scholar
  26. Coelho, C. A. S., Pezzulli, S., Balmaseda, M., Doblas-Reyes, F. J. and Stephenson, D. B.: 2004, ‘Forecast Calibration and Combination: A Simple Bayesian Approach for ENSO,’ J. Clim. 17, 1504–1516.CrossRefGoogle Scholar
  27. Cohen, J. and Entekhabi, D.: 1999, ‘Eurasian snow cover variability and northern hemisphere climate predictability,’ Geophys. Res. Let. 26(3), 345–348.CrossRefGoogle Scholar
  28. Colman, A. W. and Davey, M. K.: 2003, ‘Statistical prediction of global sea-surface temperature anomalies,’ Int. J. Climatol. 23(14), 1677–1697.CrossRefGoogle Scholar
  29. Corti, S. and Palmer, T.: 1997, ‘Sensitivity analysis of atmospheric low-frequency variability,’ Quart.,J.,Roy.,Meteor.,Soc. 123(544), 2425–244.CrossRefGoogle Scholar
  30. Corti, S., Molteni, F. and Palmer, T. N.: 1999, ‘Signature of Recent Climate Change in Frequencies of Natural Atmospheric Circulation Regimes,’ Nature 398(6730), 799–802.CrossRefGoogle Scholar
  31. Covey, C., AchuaRao, K. M., Cubasch, U., Jones, P., Lambert, S. J., Mann, M. E., Phillips, T. J. and Taylor, K. E.: 2003, ‘An Overview of results from the Coupled Model Intercomparison Project,’ Global and Planetary Change 37, 103–133.CrossRefGoogle Scholar
  32. Crum, F. A. and Stevens, D. E.: 1988, ‘A Case Study of Atmospheric Blocking Using Isentropic Analysis,’ Mon.,Wea.,Rev. 116(1), 223–241.CrossRefGoogle Scholar
  33. Cubasch, U., Meehl, G. A., Boer, G. J., Stouffer, R. J., Dix, M., Noda, A., Senior, C. A., Raper, S. and Yap, K. S.: 2001, ‘Projections of Future Climate Change,’ In Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K. and Johnson C. A. (eds.), Climate Change 2001: The Scientific Basis. Cambridge, UK and New York, NY, USA: Cambridge University Press, Chapt. 9, pp. 525–582. Contribution of Working Group I to the Third Assessment Report of the Intergovenmental Panel on Climate Change, 881pp.Google Scholar
  34. Curry, R., Dickson, B. and Yashayaev, I.: 2003, ‘A Change in the Freshwater Balance of the Atlantic Ocean over the Past Four Decades,’ Nature 426(6968), 826–829.CrossRefGoogle Scholar
  35. Czaja, A. and Frankignoul, C.: 1999, ‘Influence of the North Atlantic SST on the atmospheric circulation,’ Geophys. Res. Let. 26(19), 2969–2972.CrossRefGoogle Scholar
  36. Czaja, A. and Frankignoul, C.: 2002, ‘Observed impact of Atlantic SST anomalies on the North Atlantic Oscillation,’ J. Clim. 15(6), 606–623.CrossRefGoogle Scholar
  37. Da Silva, A. M. and Lindzen, R. S.: 1993, ‘The effect of concentrated PV gradients on stationary waves,’J.,Atmos.,Sci. 50(1), 43–61.CrossRefGoogle Scholar
  38. D’Andrea, F., Tibaldi, S., Blackburn, M., Boer, G., Déqué, M., Dix, M. R., Dugas, B., Ferranti, L., Iwasaki, T., Kitoh, A., Pope, V., Randall, D., Roeckner, E., Straus, D., Stern, W., van den Dool, H. and Williamson, D.: 1998, ‘Northern Hemisphere atmospheric blocking as simulated by 15 atmospheric general circulation models in the period 1979–1988,’Clim. Dyn. 14(6), 385–407.CrossRefGoogle Scholar
  39. Delworth, T. L. and Dixson, K. W.: 2000, ‘Implications of Recent Trend in the Arctic/North Atlantic Oscillation for the North Atlantic thermohaline circulation,’J. Climate 13(21), 3721–3727.CrossRefGoogle Scholar
  40. Diaz, H. F. and Markgraf, V.: 2000,El Niño and the Southern Oscillation: Multiscale variability and global and regional impacts, Cambridge University Press.Google Scholar
  41. Doblas-Reyes, F. J., Deque, M. and Piedelievre, J. P.: 2000, ‘Multi-model spread and probabilistic seasonal forecasts in PROVOST,’Quart. J. Roy. Meteor. Soc. 126(567), 2069–2087.CrossRefGoogle Scholar
  42. Doblas-Reyes, F. J., Déqué, M., Valerbo, F. and Stephenson, D. B.: 1998, ‘North Atlantic Wintertime intraseasonal variability and its sensitivity to GCM horizontal resolution,’Tellus 50A, 573–595.Google Scholar
  43. Doblas-Reyes, F. J., Hagedorn, R. and Palmer, T. N.: 2005, ‘The rationale behind the success of multi-model ensembles in seasonal forecasting - II. Calibration and combination,’Tellus 57A, 234–252 .Google Scholar
  44. Doblas-Reyes, F. J., Pavan, V. and Stephenson, D. B.: 2003, ‘The skill of multi-model seasonal forecasts of the wintertime North Atlantic Oscillation,’Clim. Dyn. 21(5–6), 501–514.CrossRefGoogle Scholar
  45. Edwards, N. R. and Marsh, R.: 2005, ‘Uncertainties due to Transport-parameter Sensitivity in an Efficient 3-D Ocean-climate Model,’Clim. Dyn. 24(4), 415–433.CrossRefGoogle Scholar
  46. Egger, J.: 1978, ‘Dynamics of Blocking Highs,’J.,Atmos.,Sci. 35(10), 1788–1801.CrossRefGoogle Scholar
  47. Ehrendorfer, M.: 1997, ‘Predicting the uncertainty of numerical weather forecasts: A review,’Meteor.,Zeitschr. 6, 147–183.Google Scholar
  48. Epstein, E. S.: 1969, ‘A scoring system for probability forecasts of ranked categories,’J. Appl. Meteor. 8, 985–987.CrossRefGoogle Scholar
  49. Fedorov, A. V.: 2002, ‘The response of the coupled tropical ocean-atmosphere to westerly wind bursts,’Quart. J. Roy. Meteor. Soc. 128(579), 1–23.CrossRefGoogle Scholar
  50. Feldstein, S. B.: 2000, ‘The Timescale, Power Spectra and Climate Noise Properties of Teleconnection Patterns,’J.,Clim. 13, 4430–4440.CrossRefGoogle Scholar
  51. Forest, C. E., Stone, P. H., Sokolov, A. P., Allen, M. R. and Webster M. D.: 2002, ‘Quantifying Uncertainties in Climate System Properties with the Use of Recent Climate Observations,’Science 295(5552), 113–117.CrossRefGoogle Scholar
  52. Fraedrich, K.: 1994, ‘ENSO impact on Europe — a review,’Tellus 46A, 541–552.Google Scholar
  53. Fraedrich, K. and Leslie, L. M.: 1987, ‘Combining predictive schemes in short-term forecasting,’Mon. Wea. Rev. 115(8), 1640–1644.CrossRefGoogle Scholar
  54. Frederiksen, C. S. and Zheng, X.: 2004, ‘Variability of seasonal-mean fields arising from intraseasonal variability. Part 2, application to NH winter circulations,’Clim. Dyn. 23(2), 193–206.CrossRefGoogle Scholar
  55. Frederiksen, J. S., Collier, M. A. and Watkiins, A. B.: 2004, ‘Ensemble prediction of blocking regime transitions,’Tellus 56A(5), 485–500.Google Scholar
  56. Gallée, H., van Ypersele, J. P., Fichefet, T., Tricot, C. and Berger, A.: 1991, ‘Simulation of the Last Glacial Cycle by a Coupled, Sectorially Averaged Climate-Ice Sheet Model 1. The Climate Model,’J. Geophys. Res. 96(D7), 13139–13161.CrossRefGoogle Scholar
  57. looseness-1 Gates, W. L., Boyle, J. S., Covey, C., Dease, C. G., Doutriaux, C. M., Drach, R. S., Fiorino, M., Gleckler, P. J., Hnilo, J. J., Marlais, S. M., Phillips, T. J., Potter, G. L., Santer,B. D., Sperber, K. R., Taylor,K. E. and Williams, D. N.: 1999, ‘An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP I),’Bulletin of the American Meteorological Society 80(1), 29–55.CrossRefGoogle Scholar
  58. Gillett, N. P., Graf, H. F. and Osborn, T. J.: 2003, ‘Climate Change and the North Atlantic Oscillation,’ in Hurrell, J. W., Kushnir, Y., Ottersen, G. and Visbeck, M.,(eds),The North Atlantic Oscillation: Climate Significance and Environmental Impact, Vol. 134 ofGeophysical Monograph, Washington DC, USA: American Geophysical Union, pp. 193–209.Google Scholar
  59. Goddard, L., Barnston, A. G. and Mason, S. J.: 2003, ‘Evaluation of the IRI’s ‘net assessment” seasonal climate forecasts 1997-2001,’Bull. Amer. Meteor. Soc. 84(12), 1761–1781.CrossRefGoogle Scholar
  60. Graham, R. J., Evans, A. D. L., Mylne, K. R., Harrison, M. S. J. and Robertson, K. B.: 2000, ‘An assessment of seasonal predictability using atmospheric general circulation models,’Quart. J. Roy. Meteor. Soc. 126(567), 2211–2240.CrossRefGoogle Scholar
  61. Greatbatch, R. J., Lu, J. and Peterson, A.: 2004, ‘Nonstationary impact of ENSO on Euro-Atlantic winter climate,’Geophys. Res. Let. 31 Google Scholar
  62. Grübler, A. and Nakicenovic, N.: 2001, ‘Identifying Dangers in an Uncertain Climate,’Nature 412(6842), 15.CrossRefGoogle Scholar
  63. Hagedorn, R., Doblas-Reyes, F. J. and Palmer, T. N.: 2005, ‘The rationale behind the success of multi-model ensembles in seasonal forecasting. — I. Basic concept,’Tellus 57A, 219–233.Google Scholar
  64. Haines, K. and Hannachi, A.: 1995, ‘Weather regimes in the Pacific from a GCM,’J.,Atmos.,Sci. 52(13), 2444–2462.CrossRefGoogle Scholar
  65. Hansen, A. R. and Sutera, A.: 1993, ‘A comparison between planetary-wave flow regimes and blocking,’Tellus 45A(4), 281–288.Google Scholar
  66. Hargreaves, J. C., Annan,J. D., Edwards, N. R. and Marsh, R.: 2004, ‘ An efficient climate forecasting method using an intermediate complexity Earth System Model and the ensemble Kalman filter,’Clim. Dyn. 23(7-8), 745–760.CrossRefGoogle Scholar
  67. Harrison, M. S. J., Palmer, T. N., Richardson, T. N., Buizza, D. S. and Petroliagis, T.: 1995, ‘Joint ensembles from the UKMO and ECMWF models’. In:ECMWF Seminar Proceedings, Predictability, Vol. 2. pp. 61–120.Google Scholar
  68. Hasselmann, K.: 1976, ‘Stochastic climate models: 1. Theory,’Tellus 28(6), 473–485.Google Scholar
  69. Haywood, J. and Boucher, O.: 2000, ‘Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review’,Rev. Geophys. 38(4), 513–543.CrossRefGoogle Scholar
  70. Hoerling, M. P., Hurrell, J. and Xu, T. Y.: 2001, ‘Tropical origins for recent North Atlantic climate change,’Science 292, 90–92.CrossRefGoogle Scholar
  71. Hogg, A. M., Dewar, W. K., Killworth, P. D. and Blundell, J. R.: 2003, ‘A quasi-geostrophic Coupled Model (Q-GCM),’Mon. Wea. Rev. 131(10), 2261–2278.CrossRefGoogle Scholar
  72. Hoskins, B. J. and Karoly, D. J.: 1981, ‘The Steady linear Response of a spherical Atmosphere to thermal and orographic forcing,’J.,Atmos.,Sci. 38, 1179–1196.CrossRefGoogle Scholar
  73. Hoskins, B. J. and Sardeshmukh, P. D.: 1987, ‘A diagnostic study of the dynamics of the Northern- Hemisphere winter of 1985–1986,’Quart.,J.,Roy.,Meteor.,Soc. 113(477), 759–778.CrossRefGoogle Scholar
  74. Hurrell, J. W.: 1995, ‘Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation,’Science 269(5224), 676–679.CrossRefGoogle Scholar
  75. Hurrell, J. W.: 1996, ‘Influence of Variations in Extratropical Wintertime Teleconnections on Northern Hemisphere Temperature,’Geophys. Res. Lett. 23(6), 665–668.CrossRefGoogle Scholar
  76. Hurrell, J., Kushnir, Y., Ottersen, G. and Visbeck, M.: 2003, ‘An overview of the North Atlantic Oscillation,’ In: J. W. Hurrell, G. Ottersen and M. Visbeck (eds.):The North Atlantic Oscillation. pp. 1–36.Google Scholar
  77. Hurrell, J., Hoerling, M. P., Phillips, A. S. and Xu, T.: 2004, ‘Twentieth century north atlantic climate change. Part I: assessing determinism,’Clim. Dyn. 23, 371–389.CrossRefGoogle Scholar
  78. IPCC: 1990,Climate Change: The IPCCScientific Assessment. Cambridge, UK: Cambridge University Press. Report Prepared for IPCC by Working Group 1, 365pp.Google Scholar
  79. IPCC: 1996,Climate Change 1995: The Science of Climate Change. Cambridge, UK: Cambridge University Press. Contribution of Working Group I to the Second Assessment Report of the Intergovernmental Panel on Climate Change, 572pp.Google Scholar
  80. IPCC: 2001, Climate Change 2001: The Scientific Basis. Cambridge, UK and New York, NY, USA: Cambridge University Press. Contribution of Working Group I to the Third Assessment Report of the Intergovenmental Panel on Climate Change, 881pp.Google Scholar
  81. Ji, L. R. and Tibaldi, S.: 1983, ‘Numerical simulations of a case of blocking — the effects of orography and land sea contrast,’ Mon. Wea. Rev. 111(10), 2068–2086.CrossRefGoogle Scholar
  82. Joos, F. and Bruno, M.: 1996, ‘Pulse Response Functions Are Cost-efficient Tools to Model the Link between Carbon Emissions, Atmospheric CO2 and Global Warming,’ Physics and Chemistry of the Earth 21, 471–476.CrossRefGoogle Scholar
  83. Jung, T: 2005, ‘Systematic errors of the atmospheric circulation in the ECMWF forecasting system,’ Quart. J. Roy. Meteor. Soc.. 131(607), 1045–1073.CrossRefGoogle Scholar
  84. Karoly, D. J., Plumb, R. A. and Ting, M. F.: 1989, ‘Examples of the horizontal propagation of quasi-stationary waves,’ J. Atmos. Sci. 46(18), 2802–2811.CrossRefGoogle Scholar
  85. Kharin, V. V. and Zwiers, F. W.: 2003, ‘Improved seasonal probability forecasts,’ J. Clim. 16(11), 1684–1701.CrossRefGoogle Scholar
  86. Knaff, J. A. and Landsea, C. W.: 1997, ‘An El Niño Southern Oscillation climatology and persistence (CLIPER) forecasting scheme,’ Wea. Forecasting 12(3), 633–652.CrossRefGoogle Scholar
  87. Knutti, R. and Stocker, T. F.: 2002, ‘Limited Predictability of the Future Thermohaline Circulation Close to an Instability Threshold,’ J. Climate 15(2), 179–186.CrossRefGoogle Scholar
  88. Knutti, R., Stocker, T. F., Joos, F. and Plattner, G.-K.: 2002, ‘Constraints on Radiative Forcing and Future Climate Change from Observations and Climate Model Ensembles,’ Nature 416(6882), 719–723.CrossRefGoogle Scholar
  89. Knutti, R., Stocker, T. F. Joos, F. and Plattner, G.-K.: 2003, ‘Probabilistic Climate Change Projections Using Neural Networks,’ Clim. Dyn. 21(3–4), 257–272.CrossRefGoogle Scholar
  90. Landsea, C. W. and Knaff, J. A.: 2000, ‘How much skill was there in forecasting the very strong 1997-98 El Niño?,’ Bull. Amer. Meteor. Soc. 81(9), 2107–2119.CrossRefGoogle Scholar
  91. Latif, M., Anderson, D., Barnett, T., Cane, M., Kleeman, R., Leetmaa, A., O’Brien, J., Rosati, A. and Schneider, E.: 1998, ‘A review of the predictability and prediction of ENSO,’ J. Geophys. Res.-Oceans 103(C7), 14375–14393.CrossRefGoogle Scholar
  92. Latif, M., Roeckner, E., Mikolajewicz, U. and Voss, R.: 2000, ‘Tropical Stabilization of the Thermohaline Circulation in a Greenhouse Warming Simulation,’ J. Climate 13(11), 1809–1813.CrossRefGoogle Scholar
  93. Legras, B. and Ghil, M.: 1985, ‘Persistent anomalies, blocking and variations in atmospheric predictability,’ J. Atmos. Sci. 42(5), 433–471.CrossRefGoogle Scholar
  94. Leith, C. E.: 1973, ‘The standard error of time—average estimates of climatic means,’ J. Appl. Meteor. 12, 1066–1069.CrossRefGoogle Scholar
  95. Lin, H. and Derome, J.: 2004, ‘Nonlinearity of the Extratropical Response to Tropical Forcing,’ J. Clim. 17, 2597–2608.CrossRefGoogle Scholar
  96. Liu, Q.: 1994, ‘On the definition and persistence of blocking,’ Tellus 46A(3), 286–298.Google Scholar
  97. Lott, F., Robertson, A. W. and Ghil, M.: 2004a, ‘Mountain torques and Northern Hemisphere low-frequency variability. Part I: Hemispheric aspects,’ J. Atmos. Sci. 61(11), 1259–1271.CrossRefGoogle Scholar
  98. Lott, F., Robertson, A. W. and Ghil, M.: 2004b, ‘Mountain torques and Northern Hemisphere low-frequency variability. Part II: Regional aspects,’ J. Atmos. Sci. 61(11), 1272–1283.CrossRefGoogle Scholar
  99. Lupo, A. R. and Smith, P. J.: 1995, ‘Climatological features of blocking anticyclones in the Northern-Hemisphere,’ Tellus 47A(4), 439–456.Google Scholar
  100. Luterbacher, J., Xoplaki, E., Dietrich, D., Rickli, R., Jacobeit, J., Beck, C., Gyalistras, D., Schmutz, C. and Wanner, H.: 2002, ‘Reconstruction of sea level pressure fields over the Eastern North Atlantic and Europe back to 1500,’ Clim. Dyn. 18, 545–561.Google Scholar
  101. Madden, R. A.: 1976, ‘Estimates of the natural variability of time-averaged sea-level pressure’. Mon. Wea. Rev. 104, 942–952.CrossRefGoogle Scholar
  102. Maier-Reimer, E. and Mikolajewicz, U.: 1992, ‘The Hamburg Large Scale Geostrophic Ocean General Circulation Model (Cycle 1)’. Technical Report 2, Deutsches Klimarechenzentrum.Google Scholar
  103. Manabe, S. and Stouffer, R. J.: 1996, ‘Low-Frequency Variability of Surface Air Temperature in a 1000-Year Integration of a Coupled Atmosphere-Ocean-Land Surface Model,’ J. Climate 9(2), 376–393.CrossRefGoogle Scholar
  104. Manabe, S. and Strickler, R. F.: 1964, ‘Thermal Equilibrium of the Atmosphere with a Convective Adjustment,’ J. Atmos. Sci. 21(4), 361–385.CrossRefGoogle Scholar
  105. Manabe, S. and Wetherald, R. T.: 1967, ‘Thermal Equilibrium of the Atmosphere with a Given Distribution of Relative Humidity,’ J. Atmos. Sci. 24(3), 241–259.CrossRefGoogle Scholar
  106. Marotzke, J., Welander, P. and Willebrand, J.: 1988, ‘Instability and Multiple Steady States in a Meridional-plane Model of the Thermohaline Circulation,’ Tellus 40A, 162–172.Google Scholar
  107. Mason, S. J.: 2004, ‘On Using “Climatology” as a Reference Strategy in the Brier and Ranked Probability Skill Scores,’ Mon. Wea. Rev. 132, 1891–1895.CrossRefGoogle Scholar
  108. Mason, S. J. and Mimmack, G. M.: 2002, ‘Comparison of some statistical methods of probabilistic forecasting of ENSO,’ J. Clim. 15(1), 8–29.CrossRefGoogle Scholar
  109. Mathieu, P. P., Sutton, B., Dong, R. T. and Collins, M.: 2004, ‘Predictability of winter climate over the North Atlantic European region during ENSO events,’ J. Climate 17, 1953–1974.CrossRefGoogle Scholar
  110. Mauritsen, T. and Källén, E.: 2004, ‘Blocking prediction in an ensemble forecasting system,’ Tellus A 56(3), 218–228.CrossRefGoogle Scholar
  111. McPhaden, M. J.: 2004, ‘Evolution of the 2002/03 El Nino,’ Bull. Amer. Meteor. Soc. 85(5), 677–695.CrossRefGoogle Scholar
  112. McPhaden, M. J. and Yu, X.: 1999, ‘Equatorial waves and the 1997-98 El Niño,’ Geophys. Res. Let. 26(19), 2961–964.CrossRefGoogle Scholar
  113. Mearns, L. O., Katz, R. W. and Schneider, S. H.: 1984, ‘Extreme high-temperature events - changes in their probabilities with changes in mean temperature,’ J. Clim. Appl. Met. 23(12), 1601–1613.CrossRefGoogle Scholar
  114. Merkel, U. and Latif, M.: 2002, ‘A high resolution AGCM study of the El Niño impact on the North Atlantic/European sector,’ Geophys. Res. Let. 29(9), 1291, doi:10.1029/2001GL013726.CrossRefGoogle Scholar
  115. Molteni, F. and Tibaldi, S.: 1990, ‘Regimes in the wintertime circulation over northern extratropics. II: Consequences for dynamical predictability,’ Quart.,J.,Roy.,Meteor.,Soc. 116, 1263–1288.CrossRefGoogle Scholar
  116. Monahan, A. H., Fyfe, J. C. and Flato, G. M.: 2000, ‘A regime view of Northern Hemisphere atmospheric variability and changes under global warming,’ Geophys. Res. Lett. 27(8), 1139–1142.CrossRefGoogle Scholar
  117. Müller, S. A., Joos, F., Edwards, N. R. and Stocker, T. F.: 2006, ‘Water-mass distribution and ventilation time scales in a cost-efficient, 3-dimensional ocean model,’ J. Clim., (in press).Google Scholar
  118. Mullen, S. L.: 1987, ‘Transient eddy forcing of blocked flows,’ J.,Atmos.,Sci. 44, 3–22.CrossRefGoogle Scholar
  119. Mullen, S. L.: 1989a, ‘The impact of orography on blocking frequency in a general-circulation model,’ J. Climate. 2(12), 1554–1560.CrossRefGoogle Scholar
  120. Mullen, S. L.: 1989b, ‘Model Experiments on the Impact of Pacific Sea Surface Temperature Anomalies on Blocking Frequency,’ J. Climate. 2(9), 997–1013.CrossRefGoogle Scholar
  121. Müller, W. A., Appenzeller, C., Doblas-Reyes, F. J. and Liniger, M. A.: 2005a, ‘A debiased ranked probability skill score to evaluate probabilistic ensemble forecasts with small ensemble sizes,’ J. Clim. 18(10), 1513–1523.CrossRefGoogle Scholar
  122. Müller, W. A., Appenzeller, C. and Schär, C.: 2005b, ‘Probabilistic seasonal prediction of the winter North Atlantic Oscillation and its impact on near surface temperature,’ Clim. Dyn. 24(2-3), 213–226.CrossRefGoogle Scholar
  123. Murphy, A. H.: 1969, ‘On the ranked probability skill score,’ J. Appl. Meteor. 8, 988–989.CrossRefGoogle Scholar
  124. Murphy, A. H.: 1971, ‘A note on the ranked probability skill score,’ J. Appl. Meteor. 10, 155–56.CrossRefGoogle Scholar
  125. Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M., Allen, M. R. and Stainforth, D. J.: 2004, ‘Quantification of Modelling Uncertaities in a Large Ensemble of Climate Change Simulations,’ Nature 430(7001), 768–772.CrossRefGoogle Scholar
  126. Nakićenović, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Jung,T. Y., Kram, T., La Rovere,E. L., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Raihi, K., Roehrl, A., Rogner, H.-H., Sankovski, A., Schlesinger, M., Shukla, P., Smith, S., Swart, R., van Rooijen, S., Victor, N. and Dadi, Z.: 2000, IPCC Special Report on Emissions Scenarios. Cambridge, UK and New York, NY, USA: Cambridge University Press. 599pp.Google Scholar
  127. Nigam, S. and Lindzen, R. S.: 1989, ‘The sensitivity of stationary waves to variations in the basic state zonal flow,’ J.,Atmos.,Sci. 46(12), 1746–1768.CrossRefGoogle Scholar
  128. North, G. R., Cahalan, R. F. and Coakley, J. A.: 1981, ‘Energy-Balance Climate Models,’Rev. Geophys. Space Phys. 19(1), 91–121.Google Scholar
  129. Oortwijn, J.: 1998, ‘Predictability of the Onset of Blocking and Strong Zonal Flow Regimes,’ J.,Atmos.,Sci. 55, 973–994.CrossRefGoogle Scholar
  130. Opsteegh, J. D., Haarsma, R. J., Selten, F. and Kattenberg, A.: 1998, ‘ECBILT: A Dynamic Alternative to Mixed Boundary Conditions in Ocean Models,’ Tellus 50A, 348–367.Google Scholar
  131. Palmer, T. N.: 1998, ‘Nonlinear Dynamics and Climate Change: Rossby’s Legacy,’ Bull. Amer. Meteor. Soc. 79(7), 1411–1423.CrossRefGoogle Scholar
  132. Palmer, T. N.: 1993, ‘Extend-Range Atmospheric Prediction and the Lorenz Model,’ Bull. Amer. Meteor. Soc. 74(1), 49–65.CrossRefGoogle Scholar
  133. Palmer, T. N.: 1999, ‘A Nonlinear Dynamical Perspective on Climate Prediction,’ J. Climate 12(2), 575–591.CrossRefGoogle Scholar
  134. Palmer, T. N., Alessandri, A., Andersen, U., Cantelaube, P., Davey, M., Delecluse, P., Deque, M., Diez, E., Doblas-Reyes, F. J., Feddersen, H., Graham, R., Gualdi, S., Gueremy, J. F., Hagedorn, R., Hoshen, M., Keenlyside, N., Latif, M., Lazar, A., Maisonnave, E., Marletto, V., Morse,A. P., Orfila, B., Rogel, P., Terres, J. M. and Thomson, M. C.: 2004, ‘Development of a European multimodel ensemble system for seasonal-to-interannual prediction (DEMETER),’ Bull. Amer. Meteor. Soc. 85(6), 853–874.CrossRefGoogle Scholar
  135. Palmer, T. N. and Anderson, D. L. T.: 1994, ‘The prospects for seasonal forecasting - a review paper,’ Quart. J. Roy. Meteor. Soc. 120(518), 755–793.CrossRefGoogle Scholar
  136. Palmer, T. N. and Shukla, J.: 2000, ‘Editorial to DSP/PROVOST special issue,’ Quart. J. Roy. Meteor. Soc. 126(567), 1989–990.CrossRefGoogle Scholar
  137. Palmer, T. N., Shutts, G. J., Hagedorn R., Doblas-Reyes F., Jung T. and Leutbecher, M.: 2005, ‘Representing model uncertainty in weather and climate prediction,’ Ann. Rev. Earth and Plan. Sci. 33, 163–193.CrossRefGoogle Scholar
  138. Pasmanter, R. A. and Timmermann, A.: 2003, ‘Cyclic Markov chains with an application to an intermediate ENSO model,’ Nonlin. Proc. Geophys. 10, 197– 210.CrossRefGoogle Scholar
  139. Pavan, V. and Doblas-Reyes, F. J.: 2000, ‘Multi-model seasonal hindcasts over the Euro-Atlantic: skill scores and dynamic features,’ Clim. Dyn. 16(8), 611–625.CrossRefGoogle Scholar
  140. Pavan, V., Tibaldi, S. and Brankovic, C.: 2000a, ‘Seasonal prediction of blocking frequency: Results from winter ensemble experiments,’ Quart. J. Roy. Meteor. Soc. 126(567), 2125 –2142.CrossRefGoogle Scholar
  141. Pavan, V., Molteni, F. and Brankovic, C.: 2000b, ‘Wintertime variability in the Euro-Atlantic region in observations and in ECMWF seasonal ensemble experiments,’Quart. J. Roy. Meteor. Soc. 126(567), 2143–173.CrossRefGoogle Scholar
  142. Peixoto, J. P. and Oort, A. H.: 1984, ‘Physics of climate,’ Rev Mod Phys 56(3), 365–429.CrossRefGoogle Scholar
  143. Pelly, J. L. and Hoskins, B. J.: 2003, ‘How well does the ECMWF Ensemble Prediction System predict blocking?,’ Quart.,J.,Roy.,Meteor.,Soc. 129(590), 1683–1702.CrossRefGoogle Scholar
  144. Peng, S. L., Robinson, W. A. and Li, S. L.: 2003, ‘Mechanisms for the NAO responses to the North Atlantic SST tripole,’ J. Clim. 16(12), 1987–2004.CrossRefGoogle Scholar
  145. Philander, S. G. H.: 1990, El Niño, La Niña and the Southern Oscillation. San Diego, CA: Academic Press.Google Scholar
  146. Ramanathan, V. and Coakley, J. A.: 1978, ‘Climate Modelling through Radiative-Convective Models,’ Rev. Geophys. Space Phys. 16, 465–489.Google Scholar
  147. Ramaswamy, V., Boucher, O., Haigh, J., Hauglustaine, D., Haywood, J., Myhre, G., Nakajima, T., Shi, G. Y. and Solomon, S.: 2001, ‘Radiative Forcing of Climate Change,’ in Houghton,J. T., Ding,Y., Griggs, D. J., Noguer, M.,van der Linden, P. J., Dai, X., Maskell, K. and Johnson, C. A. (eds.): Climate Change 2001: The Scientific Basis. Cambridge, UK and New York, NY, USA: Cambridge University Press, Chapt. 6, pp. 349–16. Contribution of Working Group I to the Third Assessment Report of the Intergovenmental Panel on Climate Change, 881pp.Google Scholar
  148. Reilly, J., Stone, P. H., Forest, C. E., Webster, M. D., Jacoby, H. D. and Prinn, R. G.: 2001, ‘Uncertainty and Climate Change Assessments,’ Science 293(5529), 430–433.CrossRefGoogle Scholar
  149. Rex, D. F.: 1950a, ‘Blocking action in the middle troposphere and its effect upon regional climate. I. An aerological study of blocking,’ Tellus 2, 169–211.Google Scholar
  150. Rex, D. F.: 1950b, ‘Blocking action in the middle troposphere and its effect upon regional climate. II. The climatology of blocking action,’ Tellus 2, 275–301.CrossRefGoogle Scholar
  151. Rodwell, M. J. and C. K. Folland: 2002, ‘Atlantic air-sea interaction and seasonal predictability,’ Quart. J. Roy. Meteor. Soc. 128(583), 1413–1443.CrossRefGoogle Scholar
  152. Rodwell, M. J., Rowell, D. P. and Folland, C. K.: 1999, ‘Oceanic forcing of the wintertime North Atlantic Oscillation and European climate,’ Nature 398(6725), 320–323.CrossRefGoogle Scholar
  153. Saltzman, B.: 1978, ‘A Survey of Statistical-dynamical Models of the Terrestrial Climate,’Adv. Geophys. 20, 183–303.Google Scholar
  154. Saunders, M. A. and Qian, B. D.: 2002, ‘Seasonal predictability of the winter NAO from North Atlantic sea surface temperatures,’ Geophys. Res. Let. 29(22), 2049, doi:10.1029/2002GL014952.CrossRefGoogle Scholar
  155. Sausen, R., König, W. and Sielmann, F.: 1995, ‘Analysis of blocking events from observations and ECHAM model simulations,’ Tellus 47(4), 421–438.CrossRefGoogle Scholar
  156. Scherrer, S. C., Croci-Maspoli, M., Schwierz, C. and Appenzeller, C.: 2006, ‘Two-dimensional indices of atmospheric blocking and their statistical relationship with winter climate patterns in the Euro-Atlantic region,’ Int. J. Clim. 26(2), 233–249.Google Scholar
  157. Schmittner, A., Appenzeller, C. and Stocker, T. F.: 2000, ‘Enhanced Atlantic Freshwater Export during El Niño,’ Geophys. Res. Lett. 27, 1163–1166.CrossRefGoogle Scholar
  158. Schneider, S. H.: 2000, ‘Adaptation: Sensitivity to Natural Variability, Agent Assumptions and Dynamic Climate Changes,’ Climatic Change 45(1), 203–221.CrossRefGoogle Scholar
  159. Schneider, S. H.: 2001, ‘What Is ‘Dangerous‘ Climate Change?,’ Nature 411(6833), 17–19.CrossRefGoogle Scholar
  160. Schwierz, C.: 2001, ‘Interactions of Greenland-scale orography and extra-tropical synoptic-scale flow’. Ph.D. thesis, ETH Zürich, Institute for Atmospheric and Climate Science. Dissertation Nr. 14356.Google Scholar
  161. Schwierz, C., Croci-Maspoli, M. and Davies, H. C.: 2004, ‘A perspicacious indicator of atmospheric blocking,’Geophys. Res. Lett. 31(6), L06125, doi: 10.1029/2003GL019341.Google Scholar
  162. Sellers, W. D.: 1969, ‘A Global Climatic Model Based on the Energy Balance of the Earth-Atmosphere System,’ Journal of Applied Meteorology 8, 392–400.CrossRefGoogle Scholar
  163. Shabbar, A., Huang, J. and Higuchi, K.: 2001, ‘The Relationship between the Wintertime North Atlantic Oscillation and Blocking Episodes in the Northern Atlantic,’ Int.,J.,Clim. 21(3), 355–.CrossRefGoogle Scholar
  164. Shukla, J., Anderson, J., Baumhefner, D., Brankovic, C., Chang, Y., Kalnay, E., Marx, L., Palmer, T., Paolino, D., Ploshay, J., Schubert, S., Straus, D., Suarez, M. and Tribbia, J.: 2000, ‘Dynamical seasonal prediction,’ Bull. Amer. Meteor. Soc. 81(11), 2593–606.CrossRefGoogle Scholar
  165. Shutts, G. J.: 1983, ‘The propagation of eddies in diffluent jetstreams: Eddy vorticity forcing of “blocking” flow fields,’ Quart.,J.,Roy.,Meteor.,Soc. 109, 737–761.CrossRefGoogle Scholar
  166. Simmons, A. J., Wallace, J. M. and Branstator, G. W.: 1983, ‘Barotropic Wave Propagation and Instability, and Atmospheric Teleconnection Patterns,’ J.,Atmos.,Sci. 40(6), 1363–1392.CrossRefGoogle Scholar
  167. Smith, L. A.: 2002, ‘What might we learn from climate forecasts?,’ P.,Natl.,Acad.,Sci.,USA 99(Suppl.,1), 2487–2492. Suppl.,1.CrossRefGoogle Scholar
  168. Stainforth, D. A., Aina, T., Christensen, C., Collins, M., Faull, N., Frame, D. J., Kettleborough, J. A., Knight, S., Martin, A., Murphy, J. M., Plani, C., Sexton, D., Smith, L. A., Spicer, R. A., Thorpe, A. J. and Allen, M. R.: 2005, ‘Uncertainty in predictions of climate change response to rising levels of greenhouse gases,’ Nature 433, 403–406.CrossRefGoogle Scholar
  169. Stephenson, D. B.: 2000, ‘Is the North Atlantic Oscillation a Random Walk?,’ Int. J. Climatol. 10, 1–18.CrossRefGoogle Scholar
  170. Stephenson, D. B., Pavan, V. and Bojariu, R.: 2000, ‘Is the North Atlantic Oscillation a random walk?,’ Int. J. Climatol. 20(1), 1–18.CrossRefGoogle Scholar
  171. Stern, W. and Miyakoda, K.: 1995, ‘Feasibility of seasonal forecasts inferred from multiple GCM simulations,’ J. Clim. 8(5), 1071–1085.CrossRefGoogle Scholar
  172. Stocker, T. F., Wright, D. G. and Mysak, L.A.: 1992, ‘A zonally averaged, coupled ocean-atmosphere model for paleoclimate studies,’ J. Clim. 5(1), 773–797.CrossRefGoogle Scholar
  173. Stocker, T. F. and Knutti, R.: 2003, ‘Do Simplified Climate Models Have Any Useful Skill?,’ CLIVAR Exchanges 8(1), 7–10.Google Scholar
  174. Stocker, T. F. and Marchal, O.: 2001, ‘Recent Progress in Paleoclimate Modeling: Climate Models of Reduced Complexity,’ PAGES News 9(1), 4–7.Google Scholar
  175. Stocker, T. F. and Schmittner, A.: 1997, ‘Influence of CO2 Emission Rates on the Stability of the Thermohaline Circulation,’ Nature 388(6645), 862–865.CrossRefGoogle Scholar
  176. Stott, P. A. and Kettleborough, J. A.: 2002, ‘Oringins and Estimates of Uncertainty in Predictions of Twenty-First Century Temperature Rise,’ Nature 416(6882), 723–726.CrossRefGoogle Scholar
  177. Stouffer, R. J., Hegerl, G. and Tett, S.: 2000, ‘A Comparison of Surface Air Temperature Variability in Three 1000-Yr Coupled Ocean-atmosphere Model Integrations,’ J. Climate 13(3), 513–537.CrossRefGoogle Scholar
  178. Stouffer, R. J. and Manabe, S.: 1999, ‘Response of a Coupled Ocean-atmosphere Model to Increasing Atmospheric Carbon Dioxide: Sensitivity to the Rate of Increase,’ J. Climate 12(8: Part I), 2224–2237.CrossRefGoogle Scholar
  179. Sutton, R.: 2005, ‘Informing adaptation: New challenges for the climate modelling community,’ Weather 60(7), 186–189.Google Scholar
  180. Swets, J. A.: 1973, ‘The relative operating characteristic in psychology,’ Science 182, 990–1000.CrossRefGoogle Scholar
  181. Thompson, P. D.: 1977, ‘How to improve accuracy by combining independent forecasts,’ Mon. Wea. Rev. 105, 228–229.CrossRefGoogle Scholar
  182. Thompson, D. W. J. and Wallace, J. M.: 2001, ‘Regional climate impacts of the Northern Hemisphere Annular Mode,’ Science 293(5527), 85–89.CrossRefGoogle Scholar
  183. Tibaldi, S., D’Andrea, F., Tosi, E. and Roeckner, E.: 1997, ‘Climatology of Northern Hemisphere Blocking in the ECHAM model,’ Climate Dynamics 13, 649–666.CrossRefGoogle Scholar
  184. Tibaldi, S., Tosi, E., Navarra, A. and Pedulli, L.: 1994, ‘Northern and Southern-Hemisphere seasonal variability of blocking frequency and predictability,’ Mon.,Wea.,Rev. 122(9), 1971–2003.CrossRefGoogle Scholar
  185. Tracton, M. S. and Kalnay, E.: 1993, ‘Operational ensemble prediction at the national meteorological center – practical aspects,’ Wea. Forecasting 8(3), 379–98.CrossRefGoogle Scholar
  186. Trenberth, K. E., Branstator, G. W., Karoly, D., Kumar, A., Lau, N. C. and Ropelewski, C.: 1998, ‘Progress during TOGA in understanding and modeling global teleconnections associated with tropical sea surface temperatures,’ J. Geophys. Res.-Oceans 103(C7), 14291–14324.CrossRefGoogle Scholar
  187. Trenberth, K. E. and Hurrell, J. W.: 1994, ‘Decadal atmosphere-ocean variations in the Pacific,’ Clim. Dyn. 9(6), 303–319.CrossRefGoogle Scholar
  188. Trevisan, A., Pancotti, F. and Molteni, F.: 2001, ‘Ensemble prediction in a model with flow regimes,’ Quart.,J.,Roy.,Meteor.,Soc. 127(572), 343–358.CrossRefGoogle Scholar
  189. Trigo, R. M., Trigo, I. F., DaCamara, C. C. and Osborn, T. J.: 2004, ‘Climate impact of the European winter blocking episodes from the NCEP/NCAR Reanalyses,’Clim. Dyn. 23(1).Google Scholar
  190. Tsou, C. H. and Smith, P. J.: 1990, ‘The role of synoptic/planetary-scale interactions during the development of a blocking anticyclone,’ Tellus 42A, 174–193.Google Scholar
  191. Tung, K. K. and Lindzen, R. S.: 1979, ‘A Theory of Stationary Long Waves. Part I: A Simple Theory of Blocking,’ Mon.,Wea.,Rev. 107(6), 714–734.CrossRefGoogle Scholar
  192. van Oldenborgh, G. J., Balmaseda, M., Ferranti, L., Stockdale, T. and Anderson, D.: 2003, ‘Did the ECMWF seasonal forecast model outperform a statistical model over the last 15 years?’. Vol. 418 of ECMWF Technical Memorandum. ECMWF, p. 32.Google Scholar
  193. van Oldenborgh, G. J., Burgers, G. and Klein Tank, A.: 2000, ‘On the El Niño teleconnection to spring precipitation in Europe,’ Int. J. Climatol. 20, 565–574.CrossRefGoogle Scholar
  194. Vautard, R., Legras, B. and Déqué, M.: 1988, ‘On the source of midlatitude low-frequency variability. 1. A statistical approach to persistence,’ J.,Atmos.,Sci. 45(20), 2811–2843.CrossRefGoogle Scholar
  195. Vitart, F., Balmaseda, M. A., Ferranti, L. and Anderson, D.: 2003, ‘Westerly wind events and the 1997/98 El Niño event in the ECMWF seasonal forecasting system: A case study,’ J. Clim. 16(19), 3153–3170.CrossRefGoogle Scholar
  196. Watson, J. S. and Colucci S. J.: 2002, ‘Evaluation of ensemble predictions of blocking in the NCEP Global Spectral Model,’ Mon.,Wea.,Rev. 130(12), 3008–3021.CrossRefGoogle Scholar
  197. Weaver, A. J. and Zwiers, F. W.: 2000, ‘Uncertainty in climate change,’ Nature 407(6804), 571–572.CrossRefGoogle Scholar
  198. Wiedenmann, J. M., Lupo, A. R., Mokhov,I. I. and T. E. A.: 2002, ‘The climatology of blocking anticyclones for the Northern and Southern Hemispheres: Block intensity as a diagnostic,’ J. Climate 15(23), 3459–3473.CrossRefGoogle Scholar
  199. Wigley, T. M. L. and Raper, S. C. B.: 2001, ‘Interpretation of High Projections for Global-Mean Warming,’ Science 293(5529), 451–454.CrossRefGoogle Scholar
  200. Wilks, D. S.: 1995, Statistical Methods in the Atmospheric Sciences, Vol. 59 of International Geophysics Series. Academic Press.Google Scholar
  201. Wright, D. G. and T. F. Stocker: 1991, ‘A Zonally Averaged Ocean Model for the Thermohaline Circulation. Part I: Model Development and Flow Dynamics,’ J. Phys. Oceanogr. 21(12), 1713–1724.CrossRefGoogle Scholar
  202. Wunsch, C.: 1999, ‘The interpretation of short climate records, with comments on the North Atlantic Oscillation and Southern Oscillations,’ Bull. Am. Met. Soc. 80(2), 245–255.CrossRefGoogle Scholar
  203. Yamane, S. and Yoden, S.: 1997, ‘Predictability variation and quasi-stationary states in simple non-linear systems,’ J. Met. Soc. Jap. 75(2), 557–568.Google Scholar
  204. Zheng, X. and Frederiksen, C. S.: 2004, ‘Variability of seasonal-mean fields arising from intraseasonal variability: part 1, methodology,’ Clim. Dyn. 23(2), 177–191.CrossRefGoogle Scholar
  205. Zwiers, F. W.: 2002, ‘The 20-Year Forecast,’ Nature 416(6882), 690–691.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • Cornelia Schwierz
    • 1
  • Christof Appenzeller
    • 2
  • Huw C. Davies
    • 1
  • Mark A. Liniger
    • 2
  • Wolfgang Müller
    • 2
    • 3
  • Thomas F. Stocker
    • 4
  • Masakazu Yoshimori
    • 4
    • 5
  1. 1.Institute for Atmospheric and Climate ScienceETH ZürichSwitzerland
  2. 2.Federal Office of Meteorology and Climatology (MeteoSwiss)MeteoSwissSwitzerland
  3. 3.MPI for MeteorologyHamburgGermany
  4. 4.Climate and Environmental Physics, Physics InstituteUniversity of BernBernSwitzerland
  5. 5.Center for Environmental PredictionRutgers UniversityRutgersUSA

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