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 …

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

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 …

This paper deals with a new data assimilation algorithm, called Back and Forth Nudging.
The standard nudging technique consists in adding to the equations of the model a …

The ultimate purpose of environmental studies is the forecast of its natural evolution. A
prerequisite before a prediction is to retrieve at best the state of the environment. Data …

The deep-water fauna of the Mediterranean is characterized by an absence of distinctive
characteristics and by a relative impoverishment. Both are a result of events after the …

We describe the development and preliminary application of the inverse Regional Ocean
Modeling System (ROMS), a four dimensional variational (4DVAR) data assimilation system …

During the past 15 years, a number of initiatives have been undertaken at national level to
develop ocean forecasting systems operating at regional and/or global scales. The co …

Recent applications of remote sensing techniques produce rich spatially distributed
observations for flood monitoring. In order to improve numerical flood prediction, we have …

Understanding and forecasting the evolution of geophysical fluids is a major scientific and
societal challenge. Forecasting algorithms should take into account all the available …