Singular Vectors, Finite-Time Normal Modes, and Error Growth during Blocking

Jorgen S. Frederiksen Cooperative Research Centre for Southern Hemisphere Meteorology, CSIRO Division of Atmospheric Research, Aspendale, Victoria, Australia

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Abstract

The evolution of finite-time singular vectors growing on four-dimensional space–time basic states is studied for cases of block development over the Gulf of Alaska and over the North Atlantic, using a two-level tangent linear model. The initial singular vectors depend quite sensitively on the choice of norm with the streamfunction norm characterized by small-scale baroclinic disturbances, the kinetic energy norm giving intermediate-scale baroclinic disturbances, and the enstophy norm typified by large-scale disturbances with large zonal flow contributions. In all cases, the final evolved singular vectors consist of large-scale equivalent barotropic wave trains across the respective blocking regions. There are close similarities between the evolved singular vectors in each of the norms, particularly for the longer time periods considered, and with corresponding evolved finite-time adjoint modes and evolved maximum sensitivity perturbations. For the longer time periods considered, each of these evolved perturbations also closely resembles some of the dominant finite-time normal mode disturbances, which are norm independent. For periods between about two weeks and a month, the convergence of the evolved leading singular vector and leading finite-time normal mode toward the leading left Lyapunov vector has been examined.

The evolution of errors, represented by singular vectors, is also considered in the space of finite-time normal modes. In all cases the evolved error dynamics contracts onto a low-dimensional subspace characterized by the dominant finite-time normal modes. The growth of norms based on streamfunction, kinetic energy, or enstrophy is compared with the growth of a norm based on the projection coefficients of the disturbance onto the dominant finite-time normal modes.

The prospect of ensemble prediction schemes in which the control initial conditions are perturbed by superpositions of the dominant finite-time normal modes is discussed.

Corresponding author address: Dr. Jorgen S. Frederiksen, CSIRO Division of Atmospheric Research, Private Mail Bag No. 1, Aspendale, Victoria 3195, Australia.

Abstract

The evolution of finite-time singular vectors growing on four-dimensional space–time basic states is studied for cases of block development over the Gulf of Alaska and over the North Atlantic, using a two-level tangent linear model. The initial singular vectors depend quite sensitively on the choice of norm with the streamfunction norm characterized by small-scale baroclinic disturbances, the kinetic energy norm giving intermediate-scale baroclinic disturbances, and the enstophy norm typified by large-scale disturbances with large zonal flow contributions. In all cases, the final evolved singular vectors consist of large-scale equivalent barotropic wave trains across the respective blocking regions. There are close similarities between the evolved singular vectors in each of the norms, particularly for the longer time periods considered, and with corresponding evolved finite-time adjoint modes and evolved maximum sensitivity perturbations. For the longer time periods considered, each of these evolved perturbations also closely resembles some of the dominant finite-time normal mode disturbances, which are norm independent. For periods between about two weeks and a month, the convergence of the evolved leading singular vector and leading finite-time normal mode toward the leading left Lyapunov vector has been examined.

The evolution of errors, represented by singular vectors, is also considered in the space of finite-time normal modes. In all cases the evolved error dynamics contracts onto a low-dimensional subspace characterized by the dominant finite-time normal modes. The growth of norms based on streamfunction, kinetic energy, or enstrophy is compared with the growth of a norm based on the projection coefficients of the disturbance onto the dominant finite-time normal modes.

The prospect of ensemble prediction schemes in which the control initial conditions are perturbed by superpositions of the dominant finite-time normal modes is discussed.

Corresponding author address: Dr. Jorgen S. Frederiksen, CSIRO Division of Atmospheric Research, Private Mail Bag No. 1, Aspendale, Victoria 3195, Australia.

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  • Anderson, J. L., 1996: Selection of initial conditions for ensemble forecasts in a simple perfect model framework. J. Atmos. Sci.,53, 22–36.

  • Barkmeijer, J., 1996: Constructing fast-growing perturbations for the nonlinear regime. J. Atmos. Sci.,53, 2838–2851.

  • Bengtsson, L., 1981: Numerical prediction of atmospheric blocking—A case study. Tellus,33, 19–42.

  • Black, R. X., 1997: Deducing anomalous wave source regions during the life cycles of persistent flow anomalies. J. Atmos. Sci.,54, 895–907.

  • ——, and R. M. Dole, 1993: The dynamics of large-scale cyclogensis over the North Pacific Ocean. J. Atmos. Sci.,50, 421–442.

  • Borges, M. D., and D. L. Hartmann, 1992: Barotropic instability and optimal perturbations of observed nonzonal flows. J. Atmos. Sci.,49, 335–354.

  • Branstator, G., 1985: Analysis of general circulation model sea-surface temperature anomaly simulations using a linear model. Part II: Eigenanalysis. J. Atmos. Sci.,42, 2242–2254.

  • Buizza, R., 1995: The impact of orographic forcing on barotropic unstable singular vectors. J. Atmos. Sci.,52, 1457–1472.

  • ——, and T. N. Palmer, 1995: The singular-vector structure of the atmospheric global circulation. J. Atmos. Sci.,52, 1434–1456.

  • ——, J. Tribbia, F. Molteni, and T. Palmer, 1993: Computation of optimal unstable structures for a numerical weather prediction model. Tellus,45A, 388–407.

  • Carnevale, G. F., and J. S. Frederiksen, 1983a: Viscosity renormalization based on direct-interaction closure. J. Fluid Mech.,131, 289–303.

  • ——, and ——, 1983b: A statistical dynamical theory of strongly nonlinear internal gravity waves. Geophys. Astrophys. Fluid Dyn.,23, 175–207.

  • Colucci, S. J., 1985: Explosive cyclogenesis and large-scale circulation changes: Implications for atmospheric blocking. J. Atmos. Sci.,42, 2701–2717.

  • ——, 1987: Comparative diagnosis of blocking versus nonblocking planetary-scale circulation changes during synoptic-scale cyclogenesis. J. Atmos. Sci.,44, 124–139.

  • de Pondeca, M. S. F. V., A. I. Barcilon, and X. Zou, 1998a: An adjoint sensitivity study of the role of modal and nonmodal disturbances in blocking predictability. J. Atmos. Sci.,55, 2095–2118.

  • ——, ——, and ——, 1998b: The role of wave breaking, linear instability and PV transports in model block onset. J. Atmos. Sci.,55, 2852–2878.

  • Dole, R. M., 1983: Persistent anomalies of the extratropical Northern Hemisphere wintertime circulation. Large-Scale Dynamical Processes in the Atmosphere, B. J. Hoskins and R. P. Pearce, Eds., Academic Press, 95–109.

  • ——, 1986: The life cycles of persistent anomalies over the North Pacific. Advances in Geophysics, Vol. 29, Academic Press, 31–69.

  • ——, and R. X. Black, 1990: Life cycles of persistent anomalies. Part II: The development of persistent negative height anomalies over the North Pacific Ocean. Mon. Wea. Rev.,118, 824–826.

  • Eckmann, J.-P., and D. Ruelle, 1985: Ergodic theory of chaos and strange attractors. Rev. Mod. Phys.,57, 617–656.

  • Ehrendorfer, M., and R. M. Errico, 1995: Mesoscale predictability and the spectrum of optimal perturbations. J. Atmos. Sci.,52, 3475–3500.

  • ——, and J. J. Tribbia, 1997: Optimal prediction of forecast error covariances through singular vectors. J. Atmos. Sci.,54, 286–313.

  • ——, R. M. Errico, and K. D. Reader, 1999: Singular-vector perturbation growth in a primitive equation model with moist physics. J. Atmos. Sci.,56, 1627–1648.

  • Errico, R. M., and T. Vukićević, 1992: Sensitivity analysis using an adjoint of the PSU-NCAR mesoscale model. Mon. Wea. Rev.,120, 1644–1660.

  • Farrell, B. F., 1988: Optimal excitation of neutral Rossby waves. J. Atmos. Sci.,45, 163–172.

  • ——, 1989: Optimal excitation of baroclinic waves. J. Atmos. Sci.,46, 1193–1206.

  • ——, and A. M. Moore, 1992: An adjoint method for obtaining the most rapidly growing perturbation to oceanic flows. J. Phys. Oceanogr.,22, 338–349.

  • ——, and P. J. Ioanou, 1996: Generalized stability theory. Part I: Autonomous operators. J. Atmos. Sci.,53, 2025–2040.

  • Frederiksen, J. S., 1982: A unified three-dimensional instability theory of the onset of blocking and cyclogenesis. J. Atmos. Sci.,39, 969–987.

  • ——, 1983: A unified three-dimensional instability theory of the onset of blocking and cyclogenesis. Part II: Teleconnection patterns. J. Atmos. Sci.,40, 2593–2609.

  • ——, 1989: The role of instability during the onset of blocking and cyclogenesis in Northern Hemisphere synoptic flows. J. Atmos. Sci.,46, 1076–1092.

  • ——, 1992: Towards a unified instability theory of large-scale atmospheric disturbances. Trends Atmos. Sci.,1, 239–261.

  • ——, 1997: Adjoint sensitivity and finite-time normal model disturbances during blocking. J. Atmos. Sci.,54, 1144–1165.

  • ——, 1998: Precursors to blocking anomalies: The tangent linear and inverse problems. J. Atmos. Sci.,55, 2419–2436.

  • ——, and R. C. Bell, 1990: North Atlantic blocking during January 1979: Linear theory. Quart. J. Roy. Meteor. Soc.,116, 1289–1313.

  • ——, and A. G. Davies, 1997: Eddy viscosity and stochastic backscatter parameterizations on the sphere for atmospheric circulation models. J. Atmos. Sci.,54, 2475–2492.

  • Gantmacher, F. R., 1977: The Theory of Matrices. Vol. 1. Chelsea, 374 pp.

  • Gohberg, I. C., and M. G. Krein, 1969: Introduction to the Theory of Nonself-Adjoint Operators. Amer. Math. Soc. Monogr., Vol. 18, Amer. Math. Soc., 378 pp.

  • Goldhirsh, I., P.-L. Sulem, and S. A. Orszag, 1987: Stability and Lyapunov stability of dynamical systems: A differential approach and a numerical method. Physica,27D, 311–337.

  • Golub, G. H., and C. F. Van Loan, 1989: Matrix Computations. John Hopkins University Press, 642 pp.

  • Greene, J. M., and J.-S. Kim, 1987: The calculation of Lyapunov spectra. Physica,24D, 213–225.

  • Grotjahn, R., and J. Tribbia, 1995: On the mechanism of cyclogensis as deduced from vertical axis tilts. Tellus,47A, 629–637.

  • Guckenheimer, J., and P. Holmes, 1983: Nonlinear Oscillations, Dynamical Systems and Bifurcations of Vector Fields. Springer-Verlag, 459 pp.

  • Houtekamer, P. L., 1995: The construction of optimal perturbations. Mon. Wea. Rev.,123, 2888–2898.

  • ——, and J. Derome, 1995: Methods of ensemble prediction. Mon. Wea. Rev.,123, 2181–2196.

  • Kimoto, M., H. Mukougawa, and S. Yoden, 1992: Medium-range forecast skill variation and blocking transition: A case study. Mon. Wea. Rev.,120, 1616–1627.

  • Kraichnan, R. H., 1959a: The structure of isotropic turbulence at very high Reynolds numbers. J. Fluid Mech.,5, 477–543.

  • ——, 1959b: Classical fluctuation–relaxation theorem. Phys. Rev.,113, 1181–1182.

  • Lacarra, J., and O. Talagrand, 1988: Short-range evolution of small perturbations in a barotropic model. Tellus,40A, 81–95.

  • Legras, B., and R. Vautard, 1996: A guide to Lyapunov vectors. Proc. ECMWF Seminar on Predictability, Vol. I, Reading, United Kingdom, European Centre for Medium-Range Weather Forecasts, 143–156.

  • Leith, C. E., 1974: Theoretical skill of Monte Carlo forecasts. Mon. Wea. Rev.,102, 409–418.

  • Lorenz, E. N., 1965: A study of the predictability of a 28-variable atmospheric model. Tellus,17, 321–333.

  • ——, 1984: The local structure of a chaotic attractor in four dimensions. Physica,13D, 90–104.

  • ——, 1990: Effects of analysis and model errors on routine weather forecasts. Proc. ECMWF Seminar on Ten Years of Medium-Range Weather Forecasting, Vol. 1, Reading, United Kingdom, European Centre for Medium-Range Weather Forecasts, 115–128.

  • Lupo, A. R., and P. J. Smith, 1995: Climatological features of blocking anticyclones in the Northern Hemisphere. Tellus,47A, 439–456.

  • Martin, P. C., E. D. Siggia, and H. A. Rose, 1973: Statistical dynamics of classical systems. Phys. Rev.,8A, 423–437.

  • Molteni, F., and T. N. Palmer, 1993: Predictability and finite-time instability of the northern winter circulation. Quart. J. Roy. Meteor. Soc.,119, 269–298.

  • ——, R. Buizza, T. N. Palmer, and T. Petroliagis, 1996: The ECMWF Ensemble Prediction System: Methodology and validation. Quart. J. Roy. Meteor. Soc.,122, 73–119.

  • Moore, A. M., 1999: The dynamics of error growth and predictability in a model of the Gulf Stream. Part II: Ensemble prediction. J. Phys. Oceanogr.,29, 762–778.

  • ——, and B. F. Farrell, 1993: Rapid perturbation growth on spatially and temporally varying oceanic flows determined using an adjoint method: Application to the Gulf Stream. J. Phys. Oceanogr.,23, 1682–1702.

  • ——, and A. J. Mariano, 1999: The dynamics of error growth and predicability in a model of the Gulf Stream. Part I: Singular vector analysis. J. Phys. Oceanogr.,29, 158–176.

  • Noone, D., and I. Simmonds, 1998: Similarity of ‘fast-growing perturbations’ and an illustrative experiment with ensemble forecasting. Aust. Meteor. Mag.,47, 5–19.

  • North, G. R., 1984: Empirical orthogonal functions and normal modes. J. Atmos. Sci.,41, 879–887.

  • Oortwijn, J., and J. Barkmeijer, 1995: Perturbations that optimally trigger weather regimes. J. Atmos. Sci.,52, 3932–3944.

  • Oseledec, V. I., 1968: A multiplicative ergodic theorem. Ljapunov characteristic numbers for dynamical systems. Trans. Moscow Math. Soc.,19, 197–231.

  • Palmer, T. N., 1993: Extended-range atmospheric prediction and the Lorenz model. Bull. Amer. Meteor. Soc.,74, 49–65.

  • ——, R. Gelaro, J. Barkmeijer, and R. Buizza, 1998: Singular vectors, metrics, and adaptive observations. J. Atmos. Sci.,55, 633–653.

  • Rabier, F., E. Klinker, P. Courtier, and A. Hollingsworth, 1996: Sensitivity of forecast errors to initial conditions. Quart. J. Roy. Meteor. Soc.,122, 121–150.

  • Raghunathan, M. S., 1979: A proof of Oseledec’s multiplicative ergodic theorem. Isr. J. Math.,32, 356–362.

  • Risken, H., 1984: The Fokker-Planck Equation: Methods of Solution and Applications. Springer, 454 pp.

  • Szunyogh, I., E. Kalnay, and Z. Toth, 1997: A comparison of Lyapunov and optimal vectors in a low-resolution GCM. Tellus,49A, 200–227.

  • Tibaldi, S., and F. Molteni, 1990: On the operational predictability of blocking. Tellus,42A, 343–365.

  • Toth, Z., and E. Kalnay, 1993: Ensemble forecasting at NMC: The generation of perturbations. Bull. Amer. Meteor. Soc.,74, 2317–2330.

  • ——, and ——, 1997: Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Rev.,125, 3297–3319.

  • Tsou, C.-H., and P. J. Smith, 1990: The role of synoptic/planetary-scale interactions during development of a blocking anticyclone. Tellus,42A, 174–193.

  • Vukićević, T., 1993: Possibility of skill forecast based on the finite-time dominant linear solutions for a primitive equation regional forecast model. J. Atmos. Sci.,50, 1777–1791.

  • ——, 1998: Optimal initial perturbations for 2 cases of extratropical cyclogenesis. Tellus,50A, 143–166.

  • Whitaker, J. S., and A. Barcilon, 1992: Type B cyclogenesis in a zonally varying flow. J. Atmos. Sci.,49, 1877–1892.

  • Zou, X., A. Barcilon, I. M. Navon, J. Whitaker, and D. G. Cacuci, 1993: An adjoint sensitivity study of blocking in a two-layer isentropic model. Mon. Wea. Rev.,121, 2833–2857.

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