Modal View of Atmospheric Variability pp 265-318 | Cite as
Applications to Predictions and Climate Studies
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Abstract
In this chapter, numerical simulations of atmospheric blocking and Arctic Oscillation (AO) are conducted using a simple barotropic model with the basis of the 3D-NMFs that considers the barotropic-baroclinic interactions as the external forcing. Using the perfect forcing evaluated as the residual of the model equation from the state variables, we can construct a best-fit forcing by solving an inverse problem. The model is referred to as a barotropic S-model.We integrated the model for 50 years under a perpetual January condition and analyzed the dominant EOF modes in the model atmosphere to obtain the AO as the EOF-1. The AO appears chaotically as an internal variability of the barotropic dynamics, induced by the upscale energy cascade from stationary planetary waves. The result suggests that the AO can be understood as a dynamical eigenmode of the barotropic component of the atmosphere, and is not the statistical artifact as was argued by many researchers. Since the eigenmode is associated with zero eigenvalue of the dynamical system, the mechanism is called the singular eigenmode theory of the AO.
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References
- Akahori, K. and Yoden, S. (1996). Zonal flow vacillation and bimodality of baroclinic eddy life cycles in a simple global circulation model. J. Atmos. Sci., 54:2349–2361.CrossRefGoogle Scholar
- Ambaum, M. H. P., B. J. H. and Stephenson, D. B. (2001). Arctic oscillation or north atlantic oscillation? J. Clim., 14:3495–3507.CrossRefGoogle Scholar
- Basdevant, C., B. L. and Sadourny, R. (1981). A study of barotropic model flows: Intermittency, waves and predictability. J. Atmos. Sci., 38:2305–2326.CrossRefGoogle Scholar
- Bengtsson, L. K. (1985). Medium-range forecasting at the ecmwf. issues in atmospheric and oceanic modeling. Advances in Geophysics, 28:3–54.CrossRefGoogle Scholar
- Boer, G. J., S. F. and Yu, B. (2001). The signature of the annular modes in the moisture budget. J. Clim., 14:3655–3665.CrossRefGoogle Scholar
- Branstator, G. (1985). Analysis of general circulation model sea surface temperature anomaly simulations using a linear model. J. Atmos. Sci., 42:2242–2254.CrossRefGoogle Scholar
- Chen, W. Y. (1989). Estimate of dynamical predictability from nmc derf experiments. Mon. Wea. Rev., 117:1227–1236.CrossRefGoogle Scholar
- Dalcher, A. and Kalnay, E. (1987). Error growth and predictability in operational ECMWF forecasts. Tellus A, 39A:474–491.CrossRefGoogle Scholar
- Deser, C. (2000). On the teleconnectivity of the arctic oscillation. Geophys. Res. Lett., 27:779–782.CrossRefGoogle Scholar
- Edmon, H.J., H. B. and McIntyre, M. (1980). Eliassen-palm cross-sections for the troposphere. J. Atmos. Sci., 37:2600–2616.CrossRefGoogle Scholar
- Frederiksen, J. S. and Lee, S. (1998). Is the atmospheric zonal index driven by an eddy feedback? J. Atmos. Sci., 55:3077–3086.CrossRefGoogle Scholar
- Fyfe, J. C., G. J. B. and Flato, G. M. (1989). The arctic and antarctic oscillations and their projected changes under global warming. Geophys. Res. Lett., 26:1601– 1604.CrossRefGoogle Scholar
- Golub, G. and van Loan, C. (1983). Matrix Computations. Johns Hopkins.Google Scholar
- Hartman, D. L. (1995). A pv view of zonal flow vacillation. J. Atmos. Sci., 52:2561–267.CrossRefGoogle Scholar
- Holloway, G. (1983). E_ects of planetary wave propagation and finite depth on the predictability of atmosphere. J. Atmos. Sci., 40:314–327.CrossRefGoogle Scholar
- Itoh, H. (2002). True versus apparent arctic oscillation. Geophys. Res. Lett., 29:1268.CrossRefGoogle Scholar
- James, I. N. and James, P. M. (1992). Spatial structure of ultra-low frequency variability of the flow in a simple atmospheric circulation model. Quart. J. Roy. Meteor. Soc., 118:1211–1233.CrossRefGoogle Scholar
- Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, Saha, S., White, G., Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K., Ropelewski, C.,Wang, J., Leetmaa, A., Reynolds, R., Jenne, R., , and Joseph, D. (1996). The NCEP/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77:437–471.CrossRefGoogle Scholar
- Kalnay, E., K. M. and Baker, W. E. (1990). Global numerical weather prediction at the national meteorological center. Bull. Amer. Meteor. Soc, 71:1410–1428.CrossRefGoogle Scholar
- Kalnay, E., L. S. J. and McPherson, R. D. (1998). Maturity of operational numerical weather prediction: Medium range. Bull. Amer. Meteor. Soc, 79:2753–2769.CrossRefGoogle Scholar
- Karoly, D. J. (1990). The role of transient eddies in the low-frequency zonal variations in the southern hemisphere circulation. Tellus, 42A:41–50.CrossRefGoogle Scholar
- Kasahara, A. (1977). Numerical integration of the global barotropic primitive equations with hough harmonic expansions. J. Atmos. Sci., 34:687–701.CrossRefGoogle Scholar
- Kimoto, M., J. F.-F. W. M. and Yasutomi, N. (2001). Zonal-eddy coupling and a neutral mode theory for the arctic oscillation. Geophys. Res. Lett., 28:737–740.CrossRefGoogle Scholar
- Leith, C. E. (1971). Atmospheric predictability and two-dimensional turbulence. J. Atmos. Sci., 28:145–161.zbMATHCrossRefGoogle Scholar
- Leith, C. E. and Kraichnan, R. H. (1972). Predictability of turbulent flows. J. Atmos. Sci., 29:1041–1058.CrossRefGoogle Scholar
- Limpasuvan, V. and Hartmann, D. L. (2000). Wave-maintained annular mode of climate variability. J. Clim., 13:4414–4429.CrossRefGoogle Scholar
- Lorenz, D. J. and Hartmann, D. L. (2001). Eddy-zonal flow feedback in the southern hemisphere. J. Clim., 13:4414–4429.Google Scholar
- Lorenz, E. L. (1963). Deterministic nonperiodic flow. J. Atmos. Sci., 20:130–141. Lorenz, E. N. (1969). The predictability of a flow which possess many scales of motion. Tellus, XXI(3):289–307.Google Scholar
- Lorenz, E. N. (1985). The growth of errors in prediction. Turbulence and Predictability in Geophysical Fluid Dynamics and Climate Dynamics. Marshall, J. and Molteni, F. (1993). Toward a dynamical understanding of planetaryscale flow regimes. J. Atmos. Sci., 50:1792–1818.Google Scholar
- Miyakoda, K., J. S. and Ploshay, J. (1986). One-month forecast experiments-without anomaly boundary forcings. Mon. Wea. Rev., 114:2363–2401.CrossRefGoogle Scholar
- Molteni, F., R. B.-T. P. and Petroliagis, T. (1996). The ecmwf ensemble prediction system: Method and validation. Quart. J. Roy. Meteor. Soc., 122:73–119.CrossRefGoogle Scholar
- Navarra, A. (1993). A new set of orthonormal modes for linearized meteorological problems. J. Atmos. Sci., 50:2569–2583.CrossRefGoogle Scholar
- Rhines, P. (1975). Waves and turbulence on a beta-plane. J. Fluid Mech., 69:417–443.zbMATHCrossRefGoogle Scholar
- Rhines, P. (1979). Geostrophic turbulence. Ann. Rev. Fluid Mech., 11:401–441.zbMATHCrossRefGoogle Scholar
- Ringler, T. and Cook, K. H. (1999). Understanding the seasonality of orographically forced stationary waves: Interaction between mechanical and thermal forcing. J. Atmos. Sci., 56:1154–1174.CrossRefGoogle Scholar
- Robertson, A. W. (2001). Influence of ocean-atmosphere interaction on the arctic oscillation in two general circulation models. J. Clim., 14:3240–3254.CrossRefGoogle Scholar
- Robinson, W. (1996). Does eddy feedback sustain variability in the zonal index? J. Atmos. Sci., 53:3556–3569.CrossRefGoogle Scholar
- Satoh, M. (1994). Hadley circulations in radiative-convective equilibrium in an axially symmetric atmosphere. J. Atmos. Sci., 51:1947 –1968.CrossRefGoogle Scholar
- Shigehisa, Y. (1983). Normal modes of the shallow water equations for zonal wavenumber zero. J. Meteor. Soc. Japan, 61:479–493.CrossRefGoogle Scholar
- Shindell, D. T., R. L. M. G. A. S. and Pandolfo, L. (1989). Simulation of recent northern winter climate trends by greenhouse-gas forcing. Nature, 399:452–455.CrossRefGoogle Scholar
- Shiotani, M. (1990). Low-frequency variations of the zonal mean state of the southern hemisphere troposphere. J. Meteor. Soc. Japan, 68:461–471.CrossRefGoogle Scholar
- Shukla, J. (1985). Predictability. issues in atmospheric and oceanic modeling. Advances in Geophysics, 28:87–122.CrossRefGoogle Scholar
- Shutts, G. J. (1986). A case study of eddy forcing during an atlantic blocking episode. Adv. in Geophys., 29:135–162.CrossRefGoogle Scholar
- Simmons, A. J., Wallace, J. M., and Branstator, G. W. (1983). Barotropic wave propagation and instability, and atmospheric teleconnection patterns. J. Atmos. Sci., 40:1363–1392.CrossRefGoogle Scholar
- Stone, P. H. (1978). Baroclinic adjustment. J. Atmos. Sci., 35:561–571.CrossRefGoogle Scholar
- Suzuki, I. and Tanaka, H. L. (2007). Teleconnections and the arctic oscillationanalyzed in the barotropic component of the model and observedatmosphere. J. Meteor. Soc. Japan, 85:933–941.CrossRefGoogle Scholar
- Tanaka, H. (1985). Global energetics analysis by expansion into three-dimensional normal-mode functions during the FGGE winter. J. Meteor. Soc. Japan, 63:180–200.CrossRefGoogle Scholar
- Tanaka, H. (2003). Analysis and modeling of the arctic oscillation using a simple barotropic model with baroclinic eddy forcing. J. Atmos. Sci., 60:1359–1379.CrossRefGoogle Scholar
- Tanaka, H. and Kung, E. (1988). Normal-mode expansion of the general circulation during the FGGE year. J. Atmos. Sci., 45:3723–3736.CrossRefGoogle Scholar
- Tanaka, H. and Kung, E. (1989). A study of low-frequency unstable planetary waves in realistic zonal and zonally varing basic states. Tellus, 41A:179–199.CrossRefGoogle Scholar
- Tanaka, H. and Tokinaga, H. (2002). Baroclinic instability in high latitudes induced by polar vortex: A connection to the arctic oscillation. J. Atmos. Sci., 59:69–82.CrossRefGoogle Scholar
- Tanaka, H. L. (1991). A numerical simulation of amplification of low-frequency planetary waves and blocking formations by the upscale energy cascade. Mon. Wea. Rev., 119:2919–2935.CrossRefGoogle Scholar
- Tanaka, H. L. (1998). Numerical simulation of a life-cycle of atmospheric blocking and the analysis of potential vorticity using a simple barotropic model. J. Meteor. Soc. Japan, 76:983–1008.CrossRefGoogle Scholar
- Tanaka, H. L. and Kasahara, A. (1992). On thenormal modes of laplace’s tidal equations for zonal wavenumber zero. Tellus, 44A:18–32.CrossRefGoogle Scholar
- Tanaka, H. L. and Matsueda, M. (2005). Arctic oscillation analyzed as a singular eigenmode of the global atmosphere. J. Meteor. Soc. Japan, 83:611–619.CrossRefGoogle Scholar
- Tanaka, H. L. and Nohara, D. (2000). A study of deterministic predictability for the barotropic component of the atmosphere. Science Report, Institute of Geoscience, University of Tsukuba, 21:1–21.Google Scholar
- Tanaka, H. L. and Sun, S. (1990). A study of baroclinic energy source for large-scale atmospheric normal modes. J. Atmos. Sci., 47:2674–2695.CrossRefGoogle Scholar
- Tanaka, H. L., W. Y. and Kanda, T. (2004). Energy spectrum proportional to the squared phase speed of rossby modes in the general circulation of the atmosphere. Geophys. Res. Lett., 31(13):13109.CrossRefGoogle Scholar
- Thompson, D. W. J. and Wallace, J. M. (1998). The arctic oscillation signature in the wintertime geopotential height and temperature fields. Geophy. Res. Lett., 25:1297–1300.CrossRefGoogle Scholar
- Toth, Z. and Kalnay, E. (1997). Ensemble forecasting at NMC: The generation of perturbations. Mon. Wea. Rev., 125:3297–3319.CrossRefGoogle Scholar
- Vallis, G. K. (1983). On the predictability of quasi-geostrophic flow: The effect of beta and baroclinicity. J. Atmos. Sci., 40:10–27.CrossRefGoogle Scholar
- Wallace, J. M. and Gutzler, D. S. (1981). Teleconnections in the geopotential height field during the northern hemisphere winter. Mon. Wea. Rev., 109:784–812.CrossRefGoogle Scholar
- Wallace, J. M. and Thompson, D. W. J. (2002). The pacific center of action of the northern hemisphere annular mode: Real or artifact? J. Clim., 15:1987–1991.CrossRefGoogle Scholar
- Watanabe, M. and Jin, F.-F. (2004). Dynamical prototype of the arctic oscillation as revealed by a neutral singular vector. J. Clim., 17:2119–2138.CrossRefGoogle Scholar
- Yamazaki, K. and Shinya, Y. (1999). Analysis of the arctic oscillation simulated by agcm. J. Meteor. Soc. Japan, 77:1287–1298.CrossRefGoogle Scholar