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EnKF-C user guide.
TL;DR: EnKF-C provides a compact generic framework for off-line data assimilation into large-scale layered geophysical models with the ensemble Kalman filter with EnKF mode for GNU/Linux platform.
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Abstract: EnKF-C provides a compact generic framework for off-line data assimilation into large-scale layered geophysical models with the ensemble Kalman filter (EnKF). It is coded in C for GNU/Linux platform and can work either in EnKF, ensemble optimal interpolation (EnOI), or hybrid (EnKF/EnOI) modes.
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Citations
The Ensemble Kalman Filter: Theoretical formulation and practical implementation
Geir Evensen
- 01 Apr 2003
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
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Ocean circulation in the Great Australian Bight in an eddy-resolving ocean reanalysis: The eddy field, seasonal and interannual variability
TL;DR: In this paper, the authors hypothesise that the horizontal shear associated with the surface-intensified Leeuwin Current generates eddies in the eastern Great Australian Bight (GAB).
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The impact of open boundary forcing on forecasting the East Australian Current using ensemble data assimilation
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Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
TL;DR: In this article, a new sequential data assimilation method is proposed based on Monte Carlo methods, a better alternative than solving the traditional and computationally extremely demanding approximate error covariance equation used in the extended Kalman filter.
The Ensemble Kalman Filter: theoretical formulation and practical implementation
TL;DR: A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias, and an ensemble based optimal interpolation scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications.
The Ensemble Kalman Filter: Theoretical formulation and practical implementation
Geir Evensen
- 01 Apr 2003
TL;DR: The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it as mentioned in this paper, and also presents new ideas and alternative interpretations which further explain the success of the EnkF.
2.9K
Construction of correlation functions in two and three dimensions
Gregory Gaspari,Stephen E. Cohn +1 more
TL;DR: In this paper, the authors focus on the construction of simply parametrized covariance functions for data-assimilation applications and provide a self-contained, rigorous mathematical summary of relevant topics from correlation theory.