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… (More)
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2011
2011
  • I. Kasanický
  • 2011
The ensemble Kalman filter (EnFK) has recently become one of the most popular methods for high dimensional data assimilation and… (More)
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Highly Cited
2009
Highly Cited
2009
This article provides a fundamental theoretical basis for understanding EnKF and serves as a useful text for future users. Data… (More)
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Highly Cited
2003
Highly Cited
2003
In this paper, we introduce a new, local formulation of the ensemble Kalman Filter approach for atmospheric data assimilation… (More)
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Highly Cited
2001
Highly Cited
2001
Soil moisture controls the partitioning of moisture and energy fluxes at the land surface and is a key variable in weather and… (More)
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Highly Cited
2001
Highly Cited
2001
A theory for estimating the probability distribution of the state of a model given a set of observations exists. This nonlinear… (More)
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Highly Cited
2001
Highly Cited
2001
An ensemble Kalman filter may be considered for the 4D assimilation of atmospheric data. In this paper, an efficient… (More)
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Highly Cited
2001
Highly Cited
2001
The usefulness of a distance-dependent reduction of background error covariance estimates in an ensemble Kalman filter is… (More)
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Highly Cited
2000
Highly Cited
2000
Given the chaotic nature of the atmosphere, ensemble forecasting is increasingly being embraced as an approach for providing… (More)
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Highly Cited
1998
Highly Cited
1998
This paper discusses an important issue related to the implementation and interpretation of the analysis scheme in the ensemble… (More)
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Highly Cited
1998
Highly Cited
1998
The possibility of performing data assimilation using the flow-dependent statistics calculated from an ensemble of short-range… (More)
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