Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 22, issue 6
Articles | Volume 22, issue 6
https://doi.org/10.5194/npg-22-723-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-22-723-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 22, issue 6
Research article
 | 
03 Dec 2015
Research article |  | 03 Dec 2015

Multivariate localization methods for ensemble Kalman filtering

S. Roh, M. Jun, I. Szunyogh, and M. G. Genton

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Short summary
This paper shows how statistical methods can be applied to the ensemble Kalman filtering technique, a widely used method in atmospheric science and other related fields. Traditional methods for covariance localization, commonly done in the field with multiple variables, are compared to the newly proposed method with the use of a parametric localization function (proposed in statistics as a class of multivariate covariance functions) in the ensemble Kalman filter system with multiple variables.
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