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20032018
most citedIterative ensemble smoother as an approximate solution to a regularized minimum-average-cost problem: theory and applications

121 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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5 papers · 1 filter

physics.ao-ph2014★ 17 cited

Ensemble Kalman filtering with a divided state-space strategy for coupled data assimilation problems

Xiaodong Luo, Ibrahim Hoteit

This study considers the data assimilation problem in coupled systems, which consists of two components (sub-systems) interacting with each other through certain coupling terms. A…

physics.ao-ph2014★ 15 cited

Ensemble Kalman filtering with residual nudging: an extension to state estimation problems with nonlinear observation operators

Xiaodong Luo, Ibrahim Hoteit

The ensemble Kalman filter (EnKF) is an efficient algorithm for many data assimilation problems. In certain circumstances, however, divergence of the EnKF might be spotted. In prev…

physics.ao-ph2013★ 25 cited

Covariance inflation in the ensemble Kalman filter: a residual nudging perspective and some implications

Xiaodong Luo, Ibrahim Hoteit

This note examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state est…

physics.ao-ph2013★ 9 cited

Efficient particle filtering through residual nudging

Xiaodong Luo, Ibrahim Hoteit

We introduce an auxiliary technique, called residual nudging, to the particle filter to enhance its performance in cases that it performs poorly. The main idea of residual nudging…

physics.ao-ph2012★ 17 cited

Ensemble Kalman filtering with residual nudging

Xiaodong Luo, Ibrahim Hoteit

Covariance inflation and localization are two important techniques that are used to improve the performance of the ensemble Kalman filter (EnKF) by (in effect) adjusting the sample…