Abstract: This paper constructs and analyzes a reduced nonlinear stochastic model of extratropical low-frequency variability. To do so, it applies multilevel quadratic regression to the output of a long simulation of a global ...

Abstract: Predictive models are constructed to best describe an observed field?s statistics within a given class of nonlinear dynamics driven by a spatially coherent noise that is white in time. For linear dynamics, such inverse ...

Abstract: Global sea surface temperature (SST) evolution is analyzed by constructing predictive models that best describe the dataset?s statistics. These inverse models assume that the system?s variability is driven by spatially ...