COLA Report 24

Predictability and Error Growth in a Coupled Ocean-Atmosphere Model

J. Shukla and Ben P. Kirtman

March 1996


Abstract

Error growth rates in a dynamical coupled ocean-atmosphere prediction system are calculated by examining forecasts made from a large number of initial conditions based on consecutive months. The error is defined as the difference between consecutive forecasts valid at the same time. The error growth calculations have been made using the forecasts from the original Zebiak-Cane model in which initial conditions for coupled predictions were obtained by forcing the ocean model with observed wind stress. The error growth calculations are repeated for revised forecasts using the same model, but with the initial conditions obtained by combining the wind stress from observations and the coupled model simulation. The revised initialization scheme gives greater hindcast. It is found that the growth rate of the initial errors for forecasts from the revised initialization scheme is entirely due to reduction of the intial error. These results are encouraging for more complex prediction systems, where it is anticipated that reductions in initial errors via data assimilation techniques will lead to improvements in forecast skill.
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last update: March 26, 1996
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