Expanding the validity of the ensemble Kalman filter without the intrinsic need for inflation

The ensemble Kalman filter (EnKF) is a powerful data assimilation method meant for high-dimensional nonlinear systems. But its implementation requires somewhat ad hoc procedures such as localization and inflation. The recently developed <i>finite-size</i> ensemble Kalman filter (EnKF-N)...

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Bibliographic Details
Main Authors: M. Bocquet, P. N. Raanes, A. Hannart
Format: Article
Language:English
Published: Copernicus Publications 2015-11-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/22/645/2015/npg-22-645-2015.pdf