Morphing ensemble Kalman filters

Jonathan D. Beezley; Jan Mandel

doi:10.1111/j.1600-0870.2007.00275.x

Morphing ensemble Kalman filters

Tellus

Volume 60 (2008): Issue 1

By: Jonathan D. Beezley and Jan Mandel

Open Access

|Jan 2008

Abstract

Anewtype of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing. This results in filters suitable for non-linear problems whose solutions exhibit moving coherent features, such as thin interfaces in wildfire modelling. The ensemble members are represented as the composition of one common state with a spatial transformation, called registration mapping, plus a residual. A fully automatic registration method is used that requires only gridded data, so the features in the model state do not need to be identified by the user. The morphing EnKF operates on a transformed state consisting of the registration mapping and the residual. Essentially, the morphing EnKF uses intermediate states obtained by morphing instead of linear combinations of the states.

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Articles in this issue

DOI: https://doi.org/10.1111/j.1600-0870.2007.00275.x | Journal eISSN: 3035-9554

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Language: English

Page range: 131 - 140

Submitted on: Feb 6, 2007

Accepted on: Aug 20, 2007

Published on: Jan 1, 2008

Published by: Stockholm University Press

In partnership with: Paradigm Publishing Services

© 2008 Jonathan D. Beezley, Jan Mandel, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 60 (2008): Issue 1