Abstract: AbstractThis work addresses the state?parameter filtering problem for dynamical systems with relatively large-dimensional state and low-dimensional parameters? vector. A Bayesian filtering algorithm combining the strengths ...

Abstract: he Bayesian filtering problem for data assimilation is considered following the kernel-based ensemble Gaussian mixture filtering (EnGMF) approach introduced by Anderson and Anderson. In this approach, the posterior ...

Abstract: AbstractThe ensemble Kalman filter (EnKF) is widely used for sequential data assimilation. It operates as a succession of forecast and analysis steps. In realistic large-scale applications, EnKFs are implemented with small ...

Abstract: An integrated, high resolution, data-driven regional modeling system has been recently developed for the Red Sea region and is being used for research and various environmental applications.The Red Sea, home to the ...