The most widely used methods of data assimilation in large-scale oceanography, such as
the Simple Ocean Data Assimilation (SODA) algorithm, specify the background error …

The goal of this study is to compare the performances of the ensemble Kalman filter and a
reduced-rank extended Kalman filter when applied to different dynamic regimes. Data …

We presented a new local particle filter named the localized weighted ensemble Kalman
filter (LWEnKF), which was tested and verified using a simple high‐dimensional Lorenz 96 …

An Ensemble Adjustment Kalman Filter for Data Assimilation in: Monthly Weather Review
Volume 129 Issue 12 (2001) Jump to Content Logo Logo Logo Logo Logo Logo …

Abstract The Ensemble Kalman Filter (EnKF) was implemented to an ocean circulation
modeling system of the Northwest Pacific Ocean. The study area includes the northwestern …

The computational cost required by the Ensemble Kalman Filter (EnKF) is much larger than
that of some simpler assimilation schemes, such as Optimal Interpolation (OI) or three …

A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in
New York Harbor in: Journal of Atmospheric and Oceanic Technology Volume 25 Issue 9 (2008) …

The literature related to the Kalman filter is large, diverse and extends back to the late 1950s
and early 1960s (eg Kalman, 1960). For atmospheric and oceanic applications, interest was …

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 …

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