This article reviews the past 15 years of developments in regional ocean data assimilation. A
variety of scientific, management, and safety-related objectives motivate marine scientists to …

In this article, a computationally efficient state estimation method for lithium-ion (Li-ion)
batteries is proposed based on a degradation-conscious high-fidelity electrochemical …

It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …

Ensemble-based data assimilation methods related to the fundamental theory of Kalman
filtering have been explored in a variety of mostly non-operational data assimilation contexts …

We consider the relative advantages of two advanced data assimilation systems, 4-D-Var
and ensemble Kalman filter (EnKF), currently in use or under consideration for operational …

Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation in: Monthly
Weather Review Volume 138 Issue 8 (2010) Jump to Content Jump to Main Navigation …

Data assimilation algorithms combine a numerical model with observations in a quantitative
way. For an optimal combination either variational minimization algorithms or ensemble …

This paper compares several commonly used state-of-the-art ensemble-based data
assimilation methods in a coherent mathematical notation. The study encompasses different …

This paper considers implications of different forms of the ensemble transformation in the
ensemble square root filters (ESRFs) for the performance of ESRF-based data assimilation …

A new filtering technique for sequential data assimilation, the merging particle filter (MPF), is
proposed. The MPF is devised to avoid the degeneration problem, which is inevitable in the …