The purpose of this paper is to provide a comprehensive presentation and interpretation of
the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large …

The last twenty years have brought significant advances in hydrology and hydrogeology,
especially in the area of data availability and predictive modeling capabilities. Remote …

This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

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 …

We consider the application of the Ensemble Kalman Filter (EnKF) to a coupled ocean
ecosystem model (HYCOM-NORWECOM). Such models, especially the ecosystem models …

Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll data were assimilated with
an established three-dimensional global ocean model. The assimilation improved estimates …

Global sea levels have been rising through the past century and are projected to rise at an
accelerated rate throughout the 21st century. This has motivated a number of authors to …

An advanced multivariate sequential data assimilation method, the ensemble Kalman filter
(EnKF), has been investigated with a three-dimensional biochemical model of the North …

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 …

Skillful marine biogeochemical (BGC) models are required to understand a range of coastal
and global phenomena such as changes in nitrogen and carbon cycles. The refinement of …