Sensitivity of a double-gyre ocean model to details of stochastic forcing

As the importance of stochastic forcing to the interdecadal variability in the ocean and atmosphere becomes more widely appreciated, numerical stochastic modeling becomes more common. In most cases, the details of how the stochastic modeling is implemented are not considered an important part of the modeling. In this study, we show in the context of a reduced gravity, double-gyre ocean model driven by wind stress how “minor” details of stochastic forcing can have a significant effect on the temporal and spatial response by the forced system.