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Original Articles

Boundary and initial flow induced variability over Pacific North America in CCC-AGCM simulations

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Pages 401-418 | Received 09 Sep 2002, Accepted 10 Apr 2003, Published online: 15 Dec 2016

References

  • Barnston, A. G. 1994. Linear statistical short-term climate predictive skill in the Northern Hemisphere. J. Climate 7, 1513–1564.
  • Barnston, A. G. and Livezey, R. E. 1987. Classification, seasonality and persistence of low frequency atmospheric circulation patterns. Mon. Wea. Re v. 115, 1083–1126.
  • Barsugli, J. J. and Battisti, D. S. 1998. The basic effects of atmosphere-ocean thermal coupling on midlatitude variability. J. Atmos. Sci. 55, 55–493.
  • Blackmon, M. L., Lee, Y.-H., Wallace, J. M. and Hsu, H. H. 1984. Time variation of 500 mb height fluctuations with long, intermediate and short time scales as deduced from lag-correlation statistics. J. Atmos. Sci. 6, 6–991.
  • Blade, I. 1997. The influence of midlatitude ocean-atmosphere coupling on the low-frequency variability of a GCM. Part I: No tropical SST forcing. J. Climate 10, 2087–2106.
  • Boer, G. J. 1985. Modelling the atmospheric response to the 1982/83 El Nirio. Coupled cean—atmosphere models. El-sevier, Amsterdam, 1-17.
  • Derome J., Brunet, G., Plante, A., Gagnon, N., Boer, G. J., Zwiers, F. W., Lambert, S. J., Sheng, S. and Ritchie, H. 2001. Seasonal predictions based on two dynamical mod-els. Atmos-Ocean. 39, 485–501.
  • Esbensen, S. K. 1984. A comparison of intermonthly and interannual teleconnections in he 700 mb geopotential height field during the Northern Hemisphere winter. Mon. Wea. Re v. 112, 2016–2032.
  • Fyfe, J. C., Boer, G. J. and Flato, G. M. 1999. The Arctic and Antarctic Oscillations and heir projected changes under global warming. Geophys. Res. Lett. 26, 1601–1604.
  • Gates, W. L. 1992. The atmospheric model intercomparison project. Bull. Am. MeteoroL Soc. 73, 1962–1970.
  • Geisler, J. E., Blackmon, M. L., Bates, G. T. and Munoz, S. 1985. Sensitivity of January climate response to the magnitude and position of equatorial Pacific sea surface temperature anomalies. J. Atmos. Sci. 42, 1037–1049.
  • Hoerling, M. P. and Kumar, A. 1997. Why do North American climate anomalies differ from one El Nino event to another? Geophys. Res. Lett. 24, 1059–1062.
  • Horel, J. D. and Wallace, J. M. 1981. Planetary-scale atmospheric phenomena associated with the Southern Oscilla-tion. Mon. Wea. Rev. 109, 813–829.
  • Hoskins, B. J. and Karoly, D. J. 1981. The steady linear response of a spherical atmosphere to thermal and orographic forcing. J. Atmos. Sc i. 38, 1179–1196.
  • Kalnay, E. and co-authors 1996. The NCEP/NCAR 40-year reanalysis project. Bull. Am. MeteoroL Soc. 77, 437–471.
  • Kok, C. J. and Opsteegh, J. D. 1985. On the possible causes of anomalies in seasonal mean circulation patterns during the 1982-83 El Nino event. J. Atmos. Sci. 42, 677–694.
  • Kumar, A. and Hoerling, M. P. 1995. Prospect and limitations of seasonal atmospheric GCM predictions. Bull. Am. MeteoroL Soc. 76, 76–345.
  • Kumar, A. and Hoerling, M. P. 2000. Analysis of a conceptual model of seasonal climate variability and implications for seasonal prediction. Bull. Am. MeteoroL Soc. 81, 255–264.
  • Lau, N. G. and Nath, M. J. 1994. A modeling study of the relative roles of tropical and extratropical SST anomalies in the variability of the global atmosphere-ocean system. J. Climate 7, 1184–1207.
  • Lee, E. J., Jhun, J. G. and Kang, I. S. 2002. The characteristic variability of boreal wintertime atmospheric circulation in El Nino events. J. Climate 15, 892–904.
  • Livezey, R. E. and Chen, W. Y. 1983. Statistical field significance and its determination by Monte Carlo techniques. Mon. Wea. Rev. 10, 111–127.
  • Lorenz, E. N. 1984. Irregularity: a fundamental property of the atmosphere. Tellus 36A, 98–110.
  • McFarlane, N. A., Boer, G. J., Blanchet, J.-P. and Lazare, M. 1992. The Canadian Climate Centre second generation general circulation model and its equilibrium climate. J Climate 5, 1013–1044.
  • Mo, R., Fyfe, J. and Derome, J. 1998. Phase-locked and asymmetric correlations of the wintertime atmospheric patterns with the ENSO. Atmos-Ocean 36, 213–239.
  • Namias, J., Yuan, X. and Cayan, D. R. 1988. Persistence of north pacific sea surface temperature and atmospheric flow patterns. J. Climate 1, 682–703.
  • Opsteegh, J. D. and Van den dool, H. M. 1980. Seasonal differences in the stationary response of a linearized primitive equation model: Prospects for long range weather forecasting? J. Atmos. Sci. 37, 2169-2185.
  • Parker, D. E., Folland, C. K., Bevan, A., Ward, M. N., Jack-son, M. and Maskell, K. 1995. Marine surface data for analyses of climatic fluctutations on interannual and century time scales. In: Natural Climate Variability on Decade to Century Times cales, (eds. D. G. Martinson, K. Bryan, M. Ghil, M. M. Hall, T. R. Karl, E. S. Sarachik, S. Sorooshian and L. D. Talley), U.S. Natl. Acad. Sci., Washington, DC, 241-250.
  • Peng, S., Robinson, W. A. and Hoerling, M. P. 1997. The modeled atmospheric response to midlatitude SST anomalies and its dependence on background circulation states. J. Climate 10, 971–987.
  • Peng, P., Kumar, A., Barnston, A. G. and Goddard, L. 2000. Simulation skills of the SST-forced global climate variability of the NCEP-MRF9 and the SCRIPPS-MPI ECHAM3 models. J. Climate 13, 3657–3679.
  • Renwick, J. A. and Wallace, J. M. 1996. Relationship between North Pacific wintertime blocking, El Nino, and the PNA pattern. Mon. Wea. Rev. 124, 2071–2076.
  • Reynolds, R. W. and Smith, T. M. 1994. Improved global sea surface temperature analysis using optimum interpolation. J. Climate 7, 929–948.
  • Rice, J. A. 1995. Mathematical statistics and data analysis, second edition. Duxbury Press, Belmont, CA, 602 pp.
  • Ropelewski, C. E and Halpert, M. S. 1986. North American temperature and precipitation patterns associated with the El Nino/Southern Oscillation. Mon. Wea. Rev. 114,2352–2362.
  • Rowell, D. P 1998. Assessing potential seasonal predictability with an ensemble of multidecadal GCM simulations. J. Climate 11, 109–120.
  • Saravanan, R. 1998. Atmospheric low-frequency variability and its relationship to midlatitude SST variability: Studies using the NCAR Climate System Model. J. Climate 11, 1386–1404.
  • Scheffe, H. 1959. The analysis of variance. John Wiley and Sons, New York, 479 pp.
  • Searle, S. R., Casella, G. and McCulloch, C. E. 1992. Vari-ance components. John Wiley and Sons, New York, 501 1313.
  • Shabbar, A. and Khandelcar, M. 1996. The impact of El Nino-Southern Oscillation on the temperature field over Canada. Atmos-Ocean. 34, 401–416.
  • Sheng, J. 1999. Correlation between the Pacific/North American pattern and the eastward propogation of sea surface temperature anomalies in the North Pacific. J. Geophys. Res. 104, 30885–30895.
  • Simmons, A. J., Wallace, J. M. and Branstrator, G. W. 1983. Barotropic wave propogation and instability, and atmospheric teleconnection patterns, J. Atmos. Sci. 40, 1363–1392.
  • Straus, D. M. and Shukla, J. 2000. Distinguishing between the SST-forced variability and internal-variability in mid latitudes: Analysis of observations and GCM simulations. Q. J. R. MeteoroL Soc. 126, 2323–2350.
  • Wallace, J. M. and Gultzler, D. S. 1981. Teleconnections in the geopotential heights field during the northern hemisphere winter. Mon. Wea. Rev. 109, 784–812.
  • Wang, H. and Fu, R. 2000. Winter monthly mean atmospheric anomalies over the North Pacific and North America associated with El Nino SSTs. J. Climate 13, 3435–3447.
  • Wang, X. L. and Zwiers, F. W. 1999. Interannual variability of precipitation in an ensemble of AMIP climate simulations conducted with the CCC GCM2. J. Climate 12, 1322–1335.
  • Zwiers, F. W. 1996. Interannual variability and predictability in an ensemble of AMIP climate simulations conducted with the CCC GCM2. Clim. Dynam. 12, 825–847.
  • Zwiers, F. W., Wang, X. L. and Sheng, J. 2000. Effects of specifying bottom boundary conditions in an ensemble of atmospheric GCM simulations. J. Geophys. Res. 105, 105–7315.