Abstract: By adding threshold control to stochastic-dynamic climate models with linear feedback coefficients, the nonlinearity of model parameters can be more obvious. Theoretic and case verification all show that the more physically and dynamically based model is working well in simulating anomalous departures of multivariate stochastic-dynamic systems and especially better when they have obvious nonlinear feedback, leading to possible better simulation and forecast of short-term climate changes.