References
- Buizza, R. and Palmer, T. N. 1995. The singular vector structure of the atmospheric circulation. J. Atmos. Sc i. 52, 1435–1456.
- D’Andrea, F. et al. 1998. Northern hemisphere atmo-spheric blocking as simulated by 15 general circulation models in the period 1979-1988. Clim. Dyn. 14, 385–407.
- Fraederich, K. C., Ziehmann, C. and Sielmann, F. 1995. Estimate of spatial degrees of freedom. J. Climate 8, 361–369.
- Gates, W. L. and Coauthors, 1998. An overview of the results of the atmospheric model intercomparison project (AMIP). PCMDI Report no. 45. Lawrence Livermore National Laboratory, Livermore, CA, USA.
- 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.
- Gilbert, J. C. and Lemarechal, C. 1992. The modules M1QN2, N1QN2, M1QN3 and N1QN3. Technical report, available from INRIA (Institut National de Recherches an Informatique et Automatique).
- Kaas E., Yang, S., Déqué, M., D’Andrea, F., Kirchner, I. and Machenhauer, B. 1998b. Project on tendency evaluations using new techniques to improve atmospheric long-term simulations (POTENTIALS). Pro-ceedings of the European Climate Science Conference, Vienna, 19-23 October 1998 (available from the Danish Meteorological Center).
- Kaas, E., Guldberg, A., May, W. and Déqué, M. 1999. Using tendency errors to tune parameterization of unresolved dynamical scale interactions in atmo-spheric general circulation models. Tellus 51A, 617–629.
- Klinker, E. and Sardeshmukh, P. D. 1992. The diagnosis of mechanical dissipation in the atmosphere from large-scale balance requirements. J. Atmos. Sc i. 49, 608–627.
- LeDimet, F. X. and Talagrand, O. 1986. Variational algorithms for analysis and assimilation of observa-tions of meteorological observations: theoretical aspects. Tellus 38A, 97-110.
- Lorenz, E. N. 1969. Atmospheric predictability as revealed by naturally occurring analogues. Tellus 26, 636–646.
- Marshall, J. and Molteni, F. 1993. Towards a dynamical understanding of planetary-scale flow regimes. J. Atmos. Sc i. 50,1792–1818.
- Michelangeli, P. A. 1996. Variabilite atmospherique basse-frequence observée et simulee aux latitudes temperees (in French). PhD Thesis, University of Paris VI.
- Michelangeli, P. A., Vautard, R. and Legras, B. 1995. Weather regimes: recurrence and quasi-stationarity. J. Atmos. Sc i. 52,1237–1256.
- Rinne, J. and Karhila, V. 1975. A spectral barotropic model in horizontal empirical orthogonal functions. QJRMS 101, 365–382.
- Schubert, S. D. 1985. A statistical-dynamical study of empirically determined modes of atmospheric variabil-ity. J. Atmos. Sc i. 42,3–17.
- Selten, F. M. 1995. An efficient description of the dynamics of barotropic flow. J. Atmos. Sc i. 52, 915–936.
- Selten, F. M. 1997: Baroclinic empirical orthogonal func-tions as basisfunctions in an atmosperic model. J. Atmos. Sc i. 54, 2100–2114.
- Shubert, S. and Chang, Y. 1995. An objective method of inferring sources of model error. Mon. Wea. Re v. 124, 325–340.
- Shutts, G. J. 1983. Propagation of eddies in diffluent jet streams: eddy vorticity forcing of blocking flow fields. QJRMS 109 (462), 737–761.
- Stauffer, D. R. and Bao, J.-W. 1993. Optimal determina-tion of nudging coefficients using the adjoint equa-tions. Tellus 45A, 358–369.
- Van den Dool, H. M. 1994: Searching for analogues, how long must we wait? Tellus 46A, 314–324.
- Vautard, R. and Legras, B. 1988. On the sources of midlatitude low-frequency variability. Part II: Nonlin-ear equilibration of weather regimes. J. Atmos. Sc i. 45, 2845–2867.
- Wallace, J. M., Cheng, X. and Sun, D. 1991. Does low-frequency variability exhibit regime-like behavior? Tellus 43AB, 16-26.
- Zorita, E. and Von Storch, H. 1999. The analog method as a simple statistical downscaling technique: compar-ison with more complicated methods. J. Clim. 12, 2474–2483.