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.
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Allen, M.: 1999, ‘o-It-Yourself Climate Prediction,’ Nature 401(6754), 642.
Allen, M., Raper, S. and Mitchell, J.: 2001, ‘Uncertainty in the IPCC’s Third Assessment Report,’ Science 293(5529), 430–433.
Allen, M. R. and Stainforth, D. A.: 2002, ‘Towards Objective Probabilistic Climate Forecasting,’ Nature 419(6903), 228.
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.
Anderson, J. L.: 1993, ‘The climatology of blocking in a numerical forecast model,’ J. Climate 6(6), 1041–1056.
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.
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.
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.
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.
Appenzeller, C., Stocker, F. and Anklin M.: 1998, ‘North Atlantic Oscillation dynamics recorded in Greenland Ice Cores,’ Science 282, 446–449.
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.
Baldwin, M. P. and Dunkerton T. J.: 2001, ‘Stratospheric Harbingers of Anomalous Weather Regimes,’ Science 294(5542), 581–584.
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.
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.
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.
Berggren, R., Bolin, B. and Rossby, C. G.: 1949, ‘An aerological study of zonal motion, its perturbations and breakdown,’ Tellus 1, 14–37.
Bjerknes, J.: 1964, ‘Atlantic air-sea interaction,’ Advances in Geophysics 10, 1–82.
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.
Budyko, M. I.: 1969, ‘Effect of Solar Radiation Variations on Climate of earth,’ Tellus 21(5), 611–619.
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.
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.
Cerlini, P. B., Corti, S. and Tibaldi, S.: 1999, ‘An intercomparison between low-frequency variability indices,’ Tellus A 51(5), 773–789.
Charney, J. G. and DeVore, J. G.: 1979, ‘Multiple Flow Equilibria in the Atmosphere and Blocking,’ J.,Atmos.,Sci. 36, 1205–1216.
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.
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.
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.
Cohen, J. and Entekhabi, D.: 1999, ‘Eurasian snow cover variability and northern hemisphere climate predictability,’ Geophys. Res. Let. 26(3), 345–348.
Colman, A. W. and Davey, M. K.: 2003, ‘Statistical prediction of global sea-surface temperature anomalies,’ Int. J. Climatol. 23(14), 1677–1697.
Corti, S. and Palmer, T.: 1997, ‘Sensitivity analysis of atmospheric low-frequency variability,’ Quart.,J.,Roy.,Meteor.,Soc. 123(544), 2425–244.
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.
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.
Crum, F. A. and Stevens, D. E.: 1988, ‘A Case Study of Atmospheric Blocking Using Isentropic Analysis,’ Mon.,Wea.,Rev. 116(1), 223–241.
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.
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.
Czaja, A. and Frankignoul, C.: 1999, ‘Influence of the North Atlantic SST on the atmospheric circulation,’ Geophys. Res. Let. 26(19), 2969–2972.
Czaja, A. and Frankignoul, C.: 2002, ‘Observed impact of Atlantic SST anomalies on the North Atlantic Oscillation,’ J. Clim. 15(6), 606–623.
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.
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.
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.
Diaz, H. F. and Markgraf, V.: 2000,El Niño and the Southern Oscillation: Multiscale variability and global and regional impacts, Cambridge University Press.
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.
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.
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 .
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.
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.
Egger, J.: 1978, ‘Dynamics of Blocking Highs,’J.,Atmos.,Sci. 35(10), 1788–1801.
Ehrendorfer, M.: 1997, ‘Predicting the uncertainty of numerical weather forecasts: A review,’Meteor.,Zeitschr. 6, 147–183.
Epstein, E. S.: 1969, ‘A scoring system for probability forecasts of ranked categories,’J. Appl. Meteor. 8, 985–987.
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.
Feldstein, S. B.: 2000, ‘The Timescale, Power Spectra and Climate Noise Properties of Teleconnection Patterns,’J.,Clim. 13, 4430–4440.
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.
Fraedrich, K.: 1994, ‘ENSO impact on Europe — a review,’Tellus 46A, 541–552.
Fraedrich, K. and Leslie, L. M.: 1987, ‘Combining predictive schemes in short-term forecasting,’Mon. Wea. Rev. 115(8), 1640–1644.
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.
Frederiksen, J. S., Collier, M. A. and Watkiins, A. B.: 2004, ‘Ensemble prediction of blocking regime transitions,’Tellus 56A(5), 485–500.
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.
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.
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.
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.
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.
Greatbatch, R. J., Lu, J. and Peterson, A.: 2004, ‘Nonstationary impact of ENSO on Euro-Atlantic winter climate,’Geophys. Res. Let. 31
Grübler, A. and Nakicenovic, N.: 2001, ‘Identifying Dangers in an Uncertain Climate,’Nature 412(6842), 15.
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.
Haines, K. and Hannachi, A.: 1995, ‘Weather regimes in the Pacific from a GCM,’J.,Atmos.,Sci. 52(13), 2444–2462.
Hansen, A. R. and Sutera, A.: 1993, ‘A comparison between planetary-wave flow regimes and blocking,’Tellus 45A(4), 281–288.
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.
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.
Hasselmann, K.: 1976, ‘Stochastic climate models: 1. Theory,’Tellus 28(6), 473–485.
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.
Hoerling, M. P., Hurrell, J. and Xu, T. Y.: 2001, ‘Tropical origins for recent North Atlantic climate change,’Science 292, 90–92.
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.
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.
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.
Hurrell, J. W.: 1995, ‘Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation,’Science 269(5224), 676–679.
Hurrell, J. W.: 1996, ‘Influence of Variations in Extratropical Wintertime Teleconnections on Northern Hemisphere Temperature,’Geophys. Res. Lett. 23(6), 665–668.
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.
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.
IPCC: 1990,Climate Change: The IPCCScientific Assessment. Cambridge, UK: Cambridge University Press. Report Prepared for IPCC by Working Group 1, 365pp.
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.
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.
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.
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.
Jung, T: 2005, ‘Systematic errors of the atmospheric circulation in the ECMWF forecasting system,’ Quart. J. Roy. Meteor. Soc.. 131(607), 1045–1073.
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.
Kharin, V. V. and Zwiers, F. W.: 2003, ‘Improved seasonal probability forecasts,’ J. Clim. 16(11), 1684–1701.
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.
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.
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.
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.
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.
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.
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.
Legras, B. and Ghil, M.: 1985, ‘Persistent anomalies, blocking and variations in atmospheric predictability,’ J. Atmos. Sci. 42(5), 433–471.
Leith, C. E.: 1973, ‘The standard error of time—average estimates of climatic means,’ J. Appl. Meteor. 12, 1066–1069.
Lin, H. and Derome, J.: 2004, ‘Nonlinearity of the Extratropical Response to Tropical Forcing,’ J. Clim. 17, 2597–2608.
Liu, Q.: 1994, ‘On the definition and persistence of blocking,’ Tellus 46A(3), 286–298.
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.
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.
Lupo, A. R. and Smith, P. J.: 1995, ‘Climatological features of blocking anticyclones in the Northern-Hemisphere,’ Tellus 47A(4), 439–456.
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.
Madden, R. A.: 1976, ‘Estimates of the natural variability of time-averaged sea-level pressure’. Mon. Wea. Rev. 104, 942–952.
Maier-Reimer, E. and Mikolajewicz, U.: 1992, ‘The Hamburg Large Scale Geostrophic Ocean General Circulation Model (Cycle 1)’. Technical Report 2, Deutsches Klimarechenzentrum.
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.
Manabe, S. and Strickler, R. F.: 1964, ‘Thermal Equilibrium of the Atmosphere with a Convective Adjustment,’ J. Atmos. Sci. 21(4), 361–385.
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.
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.
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.
Mason, S. J. and Mimmack, G. M.: 2002, ‘Comparison of some statistical methods of probabilistic forecasting of ENSO,’ J. Clim. 15(1), 8–29.
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.
Mauritsen, T. and Källén, E.: 2004, ‘Blocking prediction in an ensemble forecasting system,’ Tellus A 56(3), 218–228.
McPhaden, M. J.: 2004, ‘Evolution of the 2002/03 El Nino,’ Bull. Amer. Meteor. Soc. 85(5), 677–695.
McPhaden, M. J. and Yu, X.: 1999, ‘Equatorial waves and the 1997-98 El Niño,’ Geophys. Res. Let. 26(19), 2961–964.
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.
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.
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.
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.
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).
Mullen, S. L.: 1987, ‘Transient eddy forcing of blocked flows,’ J.,Atmos.,Sci. 44, 3–22.
Mullen, S. L.: 1989a, ‘The impact of orography on blocking frequency in a general-circulation model,’ J. Climate. 2(12), 1554–1560.
Mullen, S. L.: 1989b, ‘Model Experiments on the Impact of Pacific Sea Surface Temperature Anomalies on Blocking Frequency,’ J. Climate. 2(9), 997–1013.
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.
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.
Murphy, A. H.: 1969, ‘On the ranked probability skill score,’ J. Appl. Meteor. 8, 988–989.
Murphy, A. H.: 1971, ‘A note on the ranked probability skill score,’ J. Appl. Meteor. 10, 155–56.
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.
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.
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.
North, G. R., Cahalan, R. F. and Coakley, J. A.: 1981, ‘Energy-Balance Climate Models,’Rev. Geophys. Space Phys. 19(1), 91–121.
Oortwijn, J.: 1998, ‘Predictability of the Onset of Blocking and Strong Zonal Flow Regimes,’ J.,Atmos.,Sci. 55, 973–994.
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.
Palmer, T. N.: 1998, ‘Nonlinear Dynamics and Climate Change: Rossby’s Legacy,’ Bull. Amer. Meteor. Soc. 79(7), 1411–1423.
Palmer, T. N.: 1993, ‘Extend-Range Atmospheric Prediction and the Lorenz Model,’ Bull. Amer. Meteor. Soc. 74(1), 49–65.
Palmer, T. N.: 1999, ‘A Nonlinear Dynamical Perspective on Climate Prediction,’ J. Climate 12(2), 575–591.
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.
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.
Palmer, T. N. and Shukla, J.: 2000, ‘Editorial to DSP/PROVOST special issue,’ Quart. J. Roy. Meteor. Soc. 126(567), 1989–990.
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.
Pasmanter, R. A. and Timmermann, A.: 2003, ‘Cyclic Markov chains with an application to an intermediate ENSO model,’ Nonlin. Proc. Geophys. 10, 197– 210.
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.
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.
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.
Peixoto, J. P. and Oort, A. H.: 1984, ‘Physics of climate,’ Rev Mod Phys 56(3), 365–429.
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.
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.
Philander, S. G. H.: 1990, El Niño, La Niña and the Southern Oscillation. San Diego, CA: Academic Press.
Ramanathan, V. and Coakley, J. A.: 1978, ‘Climate Modelling through Radiative-Convective Models,’ Rev. Geophys. Space Phys. 16, 465–489.
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.
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.
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.
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.
Rodwell, M. J. and C. K. Folland: 2002, ‘Atlantic air-sea interaction and seasonal predictability,’ Quart. J. Roy. Meteor. Soc. 128(583), 1413–1443.
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.
Saltzman, B.: 1978, ‘A Survey of Statistical-dynamical Models of the Terrestrial Climate,’Adv. Geophys. 20, 183–303.
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.
Sausen, R., König, W. and Sielmann, F.: 1995, ‘Analysis of blocking events from observations and ECHAM model simulations,’ Tellus 47(4), 421–438.
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.
Schmittner, A., Appenzeller, C. and Stocker, T. F.: 2000, ‘Enhanced Atlantic Freshwater Export during El Niño,’ Geophys. Res. Lett. 27, 1163–1166.
Schneider, S. H.: 2000, ‘Adaptation: Sensitivity to Natural Variability, Agent Assumptions and Dynamic Climate Changes,’ Climatic Change 45(1), 203–221.
Schneider, S. H.: 2001, ‘What Is ‘Dangerous‘ Climate Change?,’ Nature 411(6833), 17–19.
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.
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.
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.
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–.
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.
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.
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.
Smith, L. A.: 2002, ‘What might we learn from climate forecasts?,’ P.,Natl.,Acad.,Sci.,USA 99(Suppl.,1), 2487–2492. Suppl.,1.
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.
Stephenson, D. B.: 2000, ‘Is the North Atlantic Oscillation a Random Walk?,’ Int. J. Climatol. 10, 1–18.
Stephenson, D. B., Pavan, V. and Bojariu, R.: 2000, ‘Is the North Atlantic Oscillation a random walk?,’ Int. J. Climatol. 20(1), 1–18.
Stern, W. and Miyakoda, K.: 1995, ‘Feasibility of seasonal forecasts inferred from multiple GCM simulations,’ J. Clim. 8(5), 1071–1085.
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.
Stocker, T. F. and Knutti, R.: 2003, ‘Do Simplified Climate Models Have Any Useful Skill?,’ CLIVAR Exchanges 8(1), 7–10.
Stocker, T. F. and Marchal, O.: 2001, ‘Recent Progress in Paleoclimate Modeling: Climate Models of Reduced Complexity,’ PAGES News 9(1), 4–7.
Stocker, T. F. and Schmittner, A.: 1997, ‘Influence of CO2 Emission Rates on the Stability of the Thermohaline Circulation,’ Nature 388(6645), 862–865.
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.
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.
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.
Sutton, R.: 2005, ‘Informing adaptation: New challenges for the climate modelling community,’ Weather 60(7), 186–189.
Swets, J. A.: 1973, ‘The relative operating characteristic in psychology,’ Science 182, 990–1000.
Thompson, P. D.: 1977, ‘How to improve accuracy by combining independent forecasts,’ Mon. Wea. Rev. 105, 228–229.
Thompson, D. W. J. and Wallace, J. M.: 2001, ‘Regional climate impacts of the Northern Hemisphere Annular Mode,’ Science 293(5527), 85–89.
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.
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.
Tracton, M. S. and Kalnay, E.: 1993, ‘Operational ensemble prediction at the national meteorological center – practical aspects,’ Wea. Forecasting 8(3), 379–98.
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.
Trenberth, K. E. and Hurrell, J. W.: 1994, ‘Decadal atmosphere-ocean variations in the Pacific,’ Clim. Dyn. 9(6), 303–319.
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.
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).
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.
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.
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.
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.
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.
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.
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.
Weaver, A. J. and Zwiers, F. W.: 2000, ‘Uncertainty in climate change,’ Nature 407(6804), 571–572.
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.
Wigley, T. M. L. and Raper, S. C. B.: 2001, ‘Interpretation of High Projections for Global-Mean Warming,’ Science 293(5529), 451–454.
Wilks, D. S.: 1995, Statistical Methods in the Atmospheric Sciences, Vol. 59 of International Geophysics Series. Academic Press.
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.
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.
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.
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.
Zwiers, F. W.: 2002, ‘The 20-Year Forecast,’ Nature 416(6882), 690–691.
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Schwierz, C., Appenzeller, C., Davies, H.C. et al. Challenges posed by and approaches to the study of seasonal-to-decadal climate variability. Climatic Change 79, 31–63 (2006). https://doi.org/10.1007/s10584-006-9076-8
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DOI: https://doi.org/10.1007/s10584-006-9076-8