Lognormal Kalman filter for assimilating phase space density data in the radiation belts

Log - normal Kalman filter for assimilating 1 phase - space density data in the radiation belts

Department of Atmospheric and Oceanic Sciences and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, U.S.A. Geosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), Ecole Normale Supérieure, F-75231 Paris Cedex 05, FRANCE. Department of Earth and Space Sciences and Institute of Geophysics and Planetary Physics, University of Californi...

Local Ensemble Transform Kalman Filter: An Efficient Scheme for Assimilating Atmospheric Data

We present an efficient variation of the Local Ensemble Kalman Filter (Ott et al. 2002, 2004) and the results of perfect model tests with the Lorenz-96 model. This scheme is locally analogous to performing the Ensemble Transform Kalman Filter (Bishop et al. 2001). We also include a four-dimensional extension of the scheme to allow for asynchronous observations.

Space–time Kalman filter

A Steady-State Kalman Filter for Assimilating Data from a Single Polar Orbiting Satellite*

A steady-state scheme for data assimilation in the context of a single, short period (relative to a day), sunsynchronous, polar-orbiting satellite is examined. If the satellite takes observations continuously, the gains, which are the weights for blending observations and predictions together, are steady in time. For a linear system forced by random noise, the optimal steady-state gains (Wiener...

Assimilating non-local observations with a local ensemble Kalman filter

Many ensemble data assimilation schemes utilize spatial localization so that a small ensemble can capture the unstable degrees of freedom in the model state. These local ensemble-based schemes typically allow the analysis at a given location to depend only on observations near that location. Meanwhile, the location of satellite observations cannot be pinpointed in the same manner as conventiona...