Journal cover Journal topic
Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

Journal metrics

  • IF value: 1.329 IF 1.329
  • IF 5-year<br/> value: 1.394 IF 5-year
    1.394
  • CiteScore<br/> value: 1.27 CiteScore
    1.27
  • SNIP value: 0.903 SNIP 0.903
  • SJR value: 0.709 SJR 0.709
  • IPP value: 1.455 IPP 1.455
  • h5-index value: 20 h5-index 20
Nonlin. Processes Geophys., 23, 137-141, 2016
https://doi.org/10.5194/npg-23-137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Brief communication
10 Jun 2016
Brief Communication: Breeding vectors in the phase space reconstructed from time series data
Erin Lynch1, Daniel Kaufman2, A. Surjalal Sharma3, Eugenia Kalnay1,4,5, and Kayo Ide1,4,5,6 1Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, MD 20742, USA
2Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, VA 23062, USA
3Department of Astronomy, University of Maryland, College Park, College Park, MD 20742, USA
4Institute for Physical Science and Technology, University of Maryland, College Park, College Park, MD 20742, USA
5Earth System Science Interdisciplinary Center, University of Maryland, College Park, College Park, MD 20742, USA
6Center for Scientific Computation and Mathematical Modeling, University of Maryland, College Park, College Park, MD 20742, USA
Abstract. Bred vectors characterize the nonlinear instability of dynamical systems and so far have been computed only for systems with known evolution equations. 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 standard and nearest-neighbor breeding are shown to be similar, this provides a new and novel way to model and predict sudden transitions in systems represented by time series data alone.

Citation: Lynch, E., Kaufman, D., Sharma, A. S., Kalnay, E., and Ide, K.: Brief Communication: Breeding vectors in the phase space reconstructed from time series data, Nonlin. Processes Geophys., 23, 137-141, https://doi.org/10.5194/npg-23-137-2016, 2016.
Publications Copernicus
Download
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.
In this article, bred vectors are computed from a single time series data using time-delay...
Share