We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

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 …

Abstract The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation
algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to …

Beyond Gaussian Statistical Modeling in Geophysical Data Assimilation in: Monthly
Weather Review Volume 138 Issue 8 (2010) Jump to Content Jump to Main Navigation …

Ensemble Kalman filters (EnKFs) are a successful tool for estimating state variables in
atmospheric and oceanic sciences. Recent research has prepared the EnKF for parameter …

Detecting where and when a contaminant entered an aquifer from observations
downgradient of the source is a difficult task; this identification becomes more challenging …

Ocean data assimilation is increasingly recognized as crucial for the accuracy of real-time
ocean prediction systems and historical re-analyses. The current status of ocean data …

We consider the problem of combined state–parameter estimations in biased nonlinear
models with non-Gaussian extensions of the Deterministic Ensemble Kalman Filter (DEnKF) …

This paper presents the first decadal reanalysis simulation of the biogeochemistry of the
North West European shelf, along with a full evaluation of its skill, confidence, and value. An …

Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to
monitor visible algae blooms and through remote sensing, including infrared techniques …