Articles | Volume 23, issue 3
Nonlin. Processes Geophys., 23, 137–141, 2016
https://doi.org/10.5194/npg-23-137-2016
Nonlin. Processes Geophys., 23, 137–141, 2016
https://doi.org/10.5194/npg-23-137-2016

Brief communication 10 Jun 2016

Brief communication | 10 Jun 2016

Brief Communication: Breeding vectors in the phase space reconstructed from time series data

Erin Lynch et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Erin Lynch on behalf of the Authors (24 Feb 2016)  Author's response
ED: Referee Nomination & Report Request started (06 Mar 2016) by Stéphane Vannitsem
RR by Anonymous Referee #4 (15 Mar 2016)
RR by Anonymous Referee #3 (31 Mar 2016)
ED: Publish as is (13 Apr 2016) by Stéphane Vannitsem
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Short summary
In this article, bred vectors are computed from a single time series data using time-delay embedding, with a new technique, nearest-neighbor breeding. Since the dynamical properties of the nearest-neighbor bred vectors are shown to be similar to bred vectors computed using evolution equations, this provides a new and novel way to model and predict sudden transitions in systems represented by time series data alone.