Extratropical low-frequency variability as a low-dimensional problem

It is shown that the low-frequency and large-scale variability of an intermediate complexity reference model can be reproduced faithfully by a simplified model of 10 independent variables and 10 equations. The reference model is quasi-geostrophic and baroclinic. The low-order model is based on the truncated projection of the reference-model equations on the empirical orthogonal functions of its output. A closure term is shown to be essential for good performance of the low-order model. This closure term is meant to reproduce all the neglected scales and all the scale interactions, mainly baroclinic eddy forcing, that drive the large-scale flow. The closure is built as an empirically defined function of the large-scale flow of the model, relying on an extensive previously computed library of tendency differences between the full and truncated model. Two other parametrization schemes, a time-mean and a stochastic one, are tested; comparisons of these two with the former underline the importance of the flow dependence of the formulation. The low-order and reference models exhibit the same climate, as well as the same low-frequency variability and weather regimes.

[1]  R. Pierrehumbert,et al.  Dynamics of Weather Regimes: Quasi-Stationary Waves and Blocking. , 1982 .

[2]  W. Metz Low-frequency anomalies of atmospheric flow and the effects of cyclone-scale eddies: a canonical correlation analysis , 1989 .

[3]  Robert Vautard,et al.  On the Source of Midlatitude Low-Frequency Variability. Part II: Nonlinear Equilibration of Weather Regimes , 1988 .

[4]  Eduardo Damasio Da Costa,et al.  A Qualitatively Realistic Low-Order Model of the Extratropical Low-Frequency Variability Built from Long Records of Potential Vorticity. , 1997 .

[5]  F. M. Selten,et al.  Toward an Optimal Description of Atmospheric Flow , 1993 .

[6]  J. Rinne,et al.  A spectral barotropic model in horizontal empirical orthogonal functions , 1975 .

[7]  Padhraic Smyth,et al.  Multiple Regimes in Northern Hemisphere Height Fields via MixtureModel Clustering* , 1999, Journal of the Atmospheric Sciences.

[8]  Frank M. Selten,et al.  An Efficient Description of the Dynamics of Barotropic Flow , 1995 .

[9]  Michael Ghil,et al.  Persistent Anomalies, Blocking and Variations in Atmospheric Predictability , 1985 .

[10]  M. Ghil,et al.  Multiple Flow Regimes in the Northern Hemisphere Winter. Part I: Methodology and Hemispheric Regimes , 1993 .

[11]  J. Egger,et al.  Stochastically Driven Large-scale Circulations with Multiple Equilibria , 1981 .

[12]  J. Charney,et al.  Multiple Flow Equilibria in the Atmosphere and Blocking , 1979 .

[13]  Keith Haines,et al.  Weather Regimes in the Pacific from a GCM , 1995 .

[14]  Alfonso Sutera,et al.  On the Probability Density Distribution of Planetary-Scale Atmospheric Wave Amplitude , 1986 .

[15]  Robert Vautard,et al.  Multiple Weather Regimes over the North Atlantic: Analysis of Precursors and Successors , 1990 .

[16]  Tim N. Palmer,et al.  Regimes in the wintertime circulation over northern extratropics. I: Observational evidence , 1990 .

[17]  J. Wallace,et al.  Teleconnections in the Geopotential Height Field during the Northern Hemisphere Winter , 1981 .

[18]  Daniel F. Rex,et al.  Blocking Action in the Middle Troposphere and its Effect upon Regional Climate II. The Climatology of Blocking Action , 1950 .

[19]  G. Shutts The propagation of eddies in diffluent jetstreams: Eddy vorticity forcing of ‘blocking’ flow fields , 1983 .

[20]  Franco Molteni,et al.  Toward a dynamical understanding of planetary-scale flow regimes. , 1993 .

[21]  Ulrich Achatz,et al.  A Two-Layer Model with Empirical Linear Corrections and Reduced Order for Studies of Internal Climate Variability , 1999 .

[22]  Brian J. Hoskins,et al.  Dynamical processes in the atmosphere and the use of models , 1983 .

[23]  Michael Ghil,et al.  Multiple Flow Regimes in the Northern Hemisphere Winter. Part II: Sectorial Regimes and Preferred Transitions , 1993 .

[24]  Siegfried D. Schubert,et al.  A Statistical-Dynamical Study of Empirically Determined Modes of Atmospheric Variability , 1985 .

[25]  R. Vautard,et al.  Weather Regimes: Recurrence and Quasi Stationarity , 1995 .

[26]  X. Cheng,et al.  Cluster Analysis of the Northern Hemisphere Wintertime 500-hPa Height Field: Spatial Patterns , 1993 .

[27]  Does low-frequency atmospheric variability exhibit regime-like behavior? , 1991 .

[28]  W. Metz Transient Cyclone-Scale Vorticity Forcing of Blocking Highs , 1986 .

[29]  Klaus Fraedrich,et al.  Estimates of Spatial Degrees of Freedom , 1995 .

[30]  Masahide Kimoto,et al.  Weather Regimes, Low-Frequency Oscillations, and Principal Patterns of Variability: A Perspective of Extratropical Low-Frequency Variability , 1999 .