Results 111 to 120 of about 66,114 (285)
Performance of Ensemble Kalman filters in large dimensions
Contemporary data assimilation often involves more than a million prediction variables. Ensemble Kalman filters (EnKF) have been developed by geoscientists.
Majda, Andrew J., Tong, Xin T.
core +1 more source
A pilot variational coupled reanalysis based on the CESAM climate model
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
CHOICE EFFECT OF INPUT ACTION MODELS ON MEASURING ACCURACY FOR EXTENDED KALMAN FILTERS
Choice effect of input action models on measuring accuracy for Extended Kalman filters is considered. Recommendations about practical application of Extended Kalman filter modifications are listed.
P. A. Khmarski, A. S. Solonar
doaj
Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors
This contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj +1 more source
Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters. [PDF]
He Z +5 more
europepmc +1 more source
Bibliographic Review on Distributed Kalman Filtering [PDF]
In recent years, a compelling need has arisen to understand the effects of distributed information structures on estimation and filtering. In this paper, a bibliographical review on distributed Kalman filtering (DKF) is provided.\ud The paper contains a ...
Khalid , Dr. Haris M. +1 more
core
Convergence analysis of a family of robust Kalman filters based on the contraction principle
In this paper we analyze the convergence of a family of robust Kalman filters. For each filter of this family the model uncertainty is tuned according to the so called tolerance parameter.
Zorzi, Mattia
core +1 more source
This work demonstrates the potential of the assimilation of satellite solar‐induced fluorescence (SIF) retrievals at eight‐day and 0.1° resolutions in the integrated forecast system (IFS), developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), at global scale, to provide a more realistic representation of the vegetation temporal ...
Sébastien Garrigues +12 more
wiley +1 more source
Developments of inverse analysis by Kalman filters and Bayesian methods applied to geotechnical engineering. [PDF]
Murakami A, Fujisawa K, Shuku T.
europepmc +1 more source
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg +5 more
wiley +1 more source

