A new scalar with the dimension of time, the irreversible-predictability time (IPT), is defined as the time period when the prediction error first exceeds a pre-determined criterion (i.e., the tolerance level), is introduced to estimate the model predictability for linear and nonlinear stages in the prediction error evolution. IPT is in fact the well-known first passage time. The probability density function of IPT satisfies the backward Fokker-Planck equation (or called Pontryagin-Kolmogorov equation in the Russian literature).
Great advantages of IPT are illustrated using low-dimensional models such as Lorenz system (1984) to high-dimensional ocean/atmospheric models such as Princeton Ocean Model: (1) establishing the analytical framework for estimating the local prediction-skill of regional ocean models, (2) understanding the temporal intermittency of prediction-skill, and (3) searching physical mechanisms causing extremely successful prediction. Application to ocean (atmospheric) model evaluation is demonstrated.
References
Chu, P.C., L.M. Ivanov, C.W. Fan, 2002a: Backward Fokker-Planck equation for determining model valid prediction period. Journal of Geophysical Research, 107, C6, 10.1029/2001JC000879.
Chu, P.C., L.M., Ivanov, T.M. Margolina, and O.V. Melnichenko, 2002b: On probabilistic stability of an atmospheric model to various amplitude perturbations. Journal of the Atmospheric Sciences, 59, 2860-2873.
Chu, P.C., L. Ivanov, L. Kantha, O. Melnichenko, and Y. Poberezhny, 2002c: Power law decay in model predictability skill. Geophysical Research Letters, 29 (15), 10.1029/2002GLO14891.
Chu, P.C., L.M. Ivanov, L.H. Kantha, T.M. Margolina, and O.M. Melnichenko, and Y.A, Poberenzhny, 2003: Lagrangian predictabilty of high-resolution regional ocean models. Nonlinear Processes in Geophysics, 11, 47-66.
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