Abstract: n this paper, a general conditional Gaussian framework for filtering complex turbulent systems is introduced. Despite the conditional Gaussianity, such systems are nevertheless highly nonlinear and are able to capture the ...

Abstract: new low-order nonlinear stochastic model is developed to improve the predictability of the Real-time Multivariate Madden?Julian oscillation (MJO) index (RMM index), which is a combined measure of convection and circulation. ...

Abstract: he filtering and prediction of the Madden?Julian oscillation (MJO) and relevant tropical waves is a contemporary issue with significant implications for extended range forecasting. This paper examines the process of filtering ...

Abstract: agrangian tracers are drifters and floaters that collect real-time information of fluid flows. This paper studies the model error in filtering multiscale random rotating compressible flow fields utilizing noisy Lagrangian ...

Abstract: AbstractRecently, a simple stochastic dynamical model was developed that automatically captures the diversity and intermittency of El Niño?Southern Oscillation (ENSO) in nature, where state-dependent stochastic wind bursts ...

Abstract: AbstractEl Niño?Southern Oscillation (ENSO) has significant impact on global climate and relevance for seasonal forecasts. Recently, a simple modeling framework was developed that captures the ENSO diversity, where ...

Abstract: AbstractEl Niño?Southern Oscillation (ENSO) has significant impact on global climate and relevance for seasonal forecasts. Recently, a simple modeling framework was developed that captures the ENSO diversity, where ...