On stochastic stability of regional ocean models to finite-amplitude perturbations of initial conditions |
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| Authors: | Leonid M Ivanov Peter C Chu |
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| Institution: | aDepartment of Oceanography, Naval Postgraduate School, Monterey, CA 93943, USA;bDepartment of Mathematics, University of Southern California, Los Angeles, CA 90089, USA |
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| Abstract: | We consider error propagation near an unstable equilibrium state (classified as an unstable focus) for spatially uncorrelated and correlated finite-amplitude initial perturbations using short- (up to several weeks) and intermediate (up to 2 months) range forecast ensembles produced by a barotropic regional ocean model. An ensemble of initial perturbations is generated by the Latin Hypercube design strategy, and its optimal size is estimated through the Kullback–Liebler distance (the relative entropy). Although the ocean model is simple, the prediction error (PE) demonstrates non-trivial behavior similar to that existing in 3D ocean circulation models. In particular, in the limit of zero horizontal viscosity, the PE at first decays with time for all scales due to dissipation caused by non-linear bottom friction, and then grows faster than (quasi)-exponentially. Statistics of a prediction time scale (the irreversible predictability time (IPT)) quickly depart from Gaussian (the linear predictability regime) and becomes Weibullian (the non-linear predictability regime) as amplitude of initial perturbations grows. A transition from linear to non-linear predictability is clearly detected by the specific behavior of IPT variance. A new analytical formula for the model predictability horizon is introduced and applied to estimate the limit of predictability for the ocean model. |
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| Keywords: | Oceanography Wind-driven circulation Current prediction Stochastic stability Statistical analysis |
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