On the application of a dynamic-stochastic climate model to the simulation of the oceanic upper layer thermal variability
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Abstract
A dynamic-stochastic model based on random forcing of Adem thermodynamic climate model is considered. The way of including simplified atmospheric water budget is proposed. Computed fields of standard deviations of ocean mixed layer monthly temperature anomalies and turbulent heat flux monthly anomalies are quite realistic. Inputs of the anomalies of the wind drift currents advection and anomalies of latent heat flux are found to be the most important sources of the upper ocean layer variability. Autoregressive models of the ocean mixed layer monthly anomalies are discussed.
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