… to data assimilation, an Ensemble Adjustment Kalman Filter (… performance of both data
assimilation approaches to system … generating the seed ensemble, ensemble size, localization …

… of the ensemble Kalman filter (EnKF, Evensen, 2003), used to assimilate satellite-based
SIC and SIT data in the … We propose an ensemble-based data assimilation system for the …

… Section 2 describes the Mars model and Section 3 describes the ensemble Kalman filter
methodology used in this study. Section 4 details the simulation experiments and Section 5 …

… As a first step toward full radar data assimilation, only radial velocities are directly
assimilated in this study. The HREnKF is applied on three 2011 summer cases having different …

… for the assimilation of Lagrangian data. In part I, we formulate the method as a generalization
of other particle filters. A … in the Ensemble Kalman filter (EnKF). A major drawback of particle …

… Transformed Ensemble Kalman Filter (TEnKF) In the traditional ensemble Kalman filter (EnKF)…
However, in the TEnKF, we update the displacement from the Lagrangian point of view (ie, …

… is first to assimilate the data without any constraints (data assimilation using the standard …
the Lagrange multipliers that enforce the constraints. The values of the Lagrange multipliers …

… extension of the Weighted Ensemble Kalman filter (WEnKF) … by dedicated probes or
Lagrangian drifters, satellite images … Recently a data assimilation procedure embedding an EnKF …

… ), a data assimilation method, based on ensemble Kalman filter, … In this technical note, the
measured data collected in a wind … field play an important role for the data assimilation results. …

… traditional Kalman filter and particle filter formulations used for ocean data assimilation in …
of degrees of freedom of traditional data assimilation formulations, producing faster results with …