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A potential implicit particle method for high-dimensional systems

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Title A potential implicit particle method for high-dimensional systems
Names Weir, B. (creator)
Miller, R. N. (creator)
Spitz, Y. H. (creator)
Date Issued 2013-11-28 (iso8601)
Note This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Copernicus Publications on behalf of the European Geosciences Union & the American Geophysical Union. The published article can be found at: http://www.nonlin-processes-geophys.net/volumes_and_issues.html.
Abstract This paper presents a particle method designed for
high-dimensional state estimation. Instead of weighing random
forecasts by their distance to given observations, the
method samples an ensemble of particles around an optimal
solution based on the observations (i.e., it is implicit).
It differs from other implicit methods because it includes the
state at the previous assimilation time as part of the optimal
solution (i.e., it is a lag-1 smoother). This is accomplished
through the use of a mixture model for the background distribution
of the previous state. In a high-dimensional, linear,
Gaussian example, the mixture-based implicit particle
smoother does not collapse. Furthermore, using only a small
number of particles, the implicit approach is able to detect
transitions in two nonlinear, multi-dimensional generalizations
of a double-well. Adding a step that trains the sampled
distribution to the target distribution prevents collapse during
the transitions, which are strongly nonlinear events. To produce
similar estimates, other approaches require many more
particles.
Genre Article
Access Condition http://creativecommons.org/licenses/by/3.0/us/
Identifier Weir, B., Miller, R. N., and Spitz, Y. H.: A potential implicit particle method for high-dimensional systems, Nonlinear Processes in Geophysics, 20, 1047-1060, doi:10.5194/npg-20-1047-2013, 2013.

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