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Ensemble Kalman filter

Known as: EAKF, Enkf, Ensemble 
The ensemble Kalman filter (EnKF) is a recursive filter suitable for problems with a large number of variables, such as discretizations of partial… 
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Related topics

Related topics

20 relations
Cholesky decompositionData assimilationDiscretizationDistributed memory

Broader (1)

Estimation theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
State Estimation of Pipeline Models using the Ensemble Kalman Filter
Online pipeline models must address the problem of what to do with the extra pressure, flow, and possibly other measurements… 
2010
2010
Wind speed forecasting via ensemble Kalman Filter
Wind speed prediction is crucial for electricity system security and planning. In this paper, ensemble Kalman Filter (EnKF… 
2010
2010
The Ensemble Kalman Filter and Related Filters
Temporal phenomena are abundant in nature and in man-created activity. Traditionally, mathematicians have modeled these phenomena… 
2008
2008
Comparison of the Ensemble Kalman filter with the Unscented Kalman filter : application to the construction of a road embankment
The Extended Kalman Filter (EKF) has been used in the field of geomechanics for nonlinear state space estimation (Murakami, 1991… 
2007
2007
Efficient and Robust Reservoir Model Updating Using Ensemble Kalman Filter With Sensitivity-Based Covariance Localization
Recently Ensemble Kalman Filtering (EnKF) has gained increasing attention for history matching and continuous reservoir model… 
2006
2006
Ensemble Kalman Smoother and Ensemble Kalman Filter Approaches to the Joint Air Quality State and Emission Estimation Problem
The purpose of this paper is to present some ensemble based statistical estimation methods for inversing modeling of pollution… 
Highly Cited
2005
Highly Cited
2005
Analysis of the ensemble Kalman filter for estimation of permeability and porosity in reservoir models
It has lately been reported several successful applications where the ensemble Kalman filter has been used to estimate reservoir… 
2005
2005
A Multiscale Data Assimilation with the Ensemble Kalman Filter
In this paper, a multiscale data assimilation approach is constructed to evaluate boundary conditions for particle fluxes in… 
2002
2002
Sequential Data Assimilation for Nonlinear Dynamics: The Ensemble Kalman Filter
Sequential data assimilation methods have proven useful for many applications in meteorology and oceanography. For example are… 
Highly Cited
1997
Highly Cited
1997
Ensemble polling strategies for increased paging capacity in mobile communication networks
The process of finding a unit in a mobile communications system is called paging and requires the use of limited network… 
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