Results 101 to 110 of about 55,859 (291)

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

Real-Time Updating High-Order Extended Kalman Filtering Method Based on Fixed-Step Life Prediction for Vehicle Lithium-Ion Batteries. [PDF]

Sensors (Basel), 2022
Wang J, Wen C.
europepmc   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

An adaptive filtering method based on EMD for X-ray pulsar navigation with uncertain measurement noise

MATEC Web of Conferences, 2017
Affected by the unstable pulse radiation and the pulsar directional errors, the statistical characteristics of the pulsar measurement noise may vary with time slowly and cannot be accurately determined, which cause the filtering accuracy of the extended ...
Li N., Kang Z. W., Liu J., Xu X. M.
doaj   +1 more source

Assimilation of solar‐induced fluorescence satellite observations in the European Centre for Medium‐Range Weather Forecasts integrated forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Patricia de Rosnay, Peter Weston, Christoph Rüdiger, Cédric Bacour, David Fairbairn, Pierre Vanderbecken, Oscar Rojas‐Munoz, Ewan Pinnington, Anna Agusti‐Panareda, Souhail Boussetta, Jean‐Christophe Calvet, Richard Engelen   +12 more
wiley   +1 more source

A Square-Root Second-Order Extended Kalman Filtering Approach for Estimating Smoothly Time-Varying Parameters. [PDF]

Multivariate Behav Res, 2022
Fisher ZF, Chow SM, Molenaar PCM, Fredrickson BL, Pipiras V, Gates KM.   +5 more
europepmc   +1 more source

Operational all‐sky assimilation of geostationary infrared water‐vapour channels in the regional ICON‐D2 model with an ensemble Kalman filter

Quarterly Journal of the Royal Meteorological Society, EarlyView.
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, Christoph Schraff, Christina Köpken‐Watts, Klaus Stephan, Liselotte Schühl, Robin Faulwetter   +5 more
wiley   +1 more source

Extended Kalman Filtering [PDF]

, 2015
  +4 more sources

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Kalman filter and extended Kalman filter

, 2017
In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
openaire   +1 more source