Abstract: The effects of a priori parameters on the error subspace estimation and mapping methodology introduced by P. F. J. Lermusiaux et al. is investigated. The approach is three-dimensional, multivariate, and multiscale. The ...

Abstract: Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The experiments consists of nonlinear, primitive equation?based, idealized Middle Atlantic ...

Abstract: A rational approach is used to identify efficient schemes for data assimilation in nonlinear ocean?atmosphere models. The conditional mean, a minimum of several cost functionals, is chosen for an optimal estimate. After ...