Regional and basin scale applications of ensemble adjustment Kalman filter and 4D-Var ocean data assimilation systems
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 …
Kalman Filter (EAKF) and a 4-dimensional variational (4D-Var) method, is quantified in a …
Generalized Kalman Filter and Ensemble Optimal Interpolation, Their Comparison and Application to the Hybrid Coordinate Ocean Model
K Belyaev, A Kuleshov, I Smirnov, CAS Tanajura - Mathematics, 2021 - mdpi.com
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 …
Kalman Filter (GKF), which is a generalization of the widely-used Ensemble Optimal …
Improved tropical cyclone intensity forecasts by assimilating coastal surface currents in an idealized study
Y Li, R Toumi - Geophysical Research Letters, 2018 - Wiley Online Library
High‐frequency (HF) radars can provide high‐resolution and frequent ocean surface
currents observations during tropical cyclone (TC) landfall. We describe the first assimilation …
currents observations during tropical cyclone (TC) landfall. We describe the first assimilation …
Numerical Models, Observing Systems, and Data Assimilation for Prediction of Ocean Mesoscale Eddies
Z Li, X Jiang, G Wang - Ocean-Land-Atmosphere Research, 2024 - spj.science.org
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 …
approximately 100 km and a timescale on the order of a month. Forecasting these eddies is …
Assimilating satellite SST/SSH and in-situ T/S profiles with the Localized Weighted Ensemble Kalman Filter
M Shen, Y Chen, P Wang, W Zhang - Acta Oceanologica Sinica, 2022 - Springer
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 …
Gaussian data assimilation (DA) method that can effectively alleviate the filter degradation …
Strongly coupled assimilation of a hypothetical ocean current observing network within a regional ocean–atmosphere coupled model: an OSSE case study of Typhoon …
L Phillipson, Y Li, R Toumi - Monthly Weather Review, 2021 - journals.ametsoc.org
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 …
showcase the impact of strongly coupled data assimilation with hypothetical ocean currents …
An application of the localized weighted ensemble Kalman filter for ocean data assimilation
Y Chen, W Zhang, P Wang - Quarterly Journal of the Royal …, 2020 - Wiley Online Library
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 …
filter (LWEnKF), which was tested and verified using a simple high‐dimensional Lorenz 96 …
Near-Real-Time Earth Observation Data Assimilation for Ocean Currents
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 …
model ensembles, specifically focusing on integrating High-Frequency (HF) Radar-derived …
Adaptive ensemble optimal interpolation for efficient data assimilation in the red sea
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 …
operates with a static ensemble to drastically reduce its computational cost. The idea is to …
[PDF][PDF] Properties, mechanisms and predictability of eddies in the red sea
P Zhan - 2018 - repository.kaust.edu.sa
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 …
energy conversion among dynamics at different scales, but also for materials transport …