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 paper, we introduce a new, local formulation of the ensemble Kalman filter approach
for atmospheric data assimilation. Our scheme is based on the hypothesis that, when the …

This paper reviews the developments of the singular evolutive extended Kalman (SEEK)
filter method used for data assimilation in oceanography, since the original paper by Pham …

In this work, we propose a modified form of the extended Kalman filter (KF) for assimilating
oceanic data into numerical models. Its development consists essentially of approximating …

This paper develops a process-convolution approach for space-time modelling. With this
approach, a dependent process is constructed by convolving a simple, perhaps …

Dynamic data assimilation is the assessment, combination and synthesis of observational
data, scientific laws and mathematical models to determine the state of a complex physical …

We review recent developments of sequential data assimilation techniques used in
oceanography to integrate spatio‐temporal observations into numerical models describing …

We present PEGASE-HR, a new stellar population synthesis program generating high
resolution spectra () over the optical range= 400–680 nm. It links the spectro-photometric …

A computationally efficient method for analyzing meteorological and oceanographic
historical data sets has been developed. The method combines data reduction and least …

Four‐dimensional variational data assimilation (4DVAR) is a powerful tool for data
assimilation in meteorology and oceanography. However, a major hurdle in use of 4DVAR …