The performance of two common approaches to data assimilation, an Ensemble Adjustment
Kalman Filter (EAKF) and a 4-dimensional variational (4D-Var) method, is quantified in a …

In this paper, we consider a recently developed data assimilation method, the Generalized
Kalman Filter (GKF), which is a generalization of the widely-used Ensemble Optimal …

High‐frequency (HF) radars can provide high‐resolution and frequent ocean surface
currents observations during tropical cyclone (TC) landfall. We describe the first assimilation …

Mesoscale eddies pervade the global ocean, characterized by a typical horizontal scale of
approximately 100 km and a timescale on the order of a month. Forecasting these eddies is …

Abstract The Localized Weighted Ensemble Kalman Filter (LWEnKF) is a new nonlinear/non-
Gaussian data assimilation (DA) method that can effectively alleviate the filter degradation …

The forecast of tropical cyclone (TC) intensity is a significant challenge. In this study, we
showcase the impact of strongly coupled data assimilation with hypothetical ocean currents …

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 …

This paper presents a robust approach to assimilate Earth Observation (EO) data into multi-
model ensembles, specifically focusing on integrating High-Frequency (HF) Radar-derived …

Ensemble optimal interpolation (EnOI) is a variant of the ensemble Kalman filter (EnKF) that
operates with a static ensemble to drastically reduce its computational cost. The idea is to …

Eddies are one of the key features of the Red Sea circulation. They are not only crucial for
energy conversion among dynamics at different scales, but also for materials transport …