Twin experiments were made to compare the reduced rank Kalman filter (RRKF), ensemble
Kalman filter (EnKF), and ensemble square‐root Kalman filter (EnSKF) for coastal ocean …

Data assimilation in a two‐dimensional hydrodynamic model for bays, estuaries and coastal
areas is considered. Two different methods based on the Kalman filter scheme are …

The effectiveness of an ensemble Kalman filter (EnKF) is assessed in the Selat Pauh of
Singapore using observing system simulation experiment. Perfect model experiments are …

Observing system simulation experiments (OSSEs) were performed for Nantucket Sound,
Massachusetts, as a pilot study for the design of optimal monitoring networks in the coastal …

The Ensemble Kalman filter (EnKF) has been applied to a 1-D complex ecosystem model
coupled with a hydrodynamic model of the Ligurian Sea. In order to improve the …

This paper develops efficient ensemble Kalman filter (EnKF) implementations based on
shrinkage covariance estimation. The forecast ensemble members at each step are used to …

This study investigates the effectiveness of the Singular Evolutive Extended Kalman filter
(SEEK) and its variants (SEIK and SFEK filters) for data assimilation into a Princeton Ocean …

In applications of data assimilation algorithms, a number of poorly known assimilation
parameters usually need to be specified. Hence, the documented success of data …

A consistent systematic comparison of filter algorithms based on the Kalman filter and
intended for data assimilation with large-scale nonlinear models is presented. Considered …

Kalman filters are widely used for data assimilation into ocean models. The aim of this study
is to discuss the relevance of these filters with high resolution ocean models. This was …