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., 24, 101-112, 2017
https://doi.org/10.5194/npg-24-101-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
22 Feb 2017
Conditional nonlinear optimal perturbations based on the particle swarm optimization and their applications to the predictability problems
Qin Zheng et al.

Viewed

Total article views: 539 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
408 94 37 539 12 40

Views and downloads (calculated since 21 Oct 2016)

Cumulative views and downloads (calculated since 21 Oct 2016)

Viewed (geographical distribution)

Total article views: 539 (including HTML, PDF, and XML)

Thereof 534 with geography defined and 5 with unknown origin.

Country # Views %
  • 1

Cited

Saved (final revised paper)

Saved (discussion paper)

Discussed (final revised paper)

Discussed (discussion paper)

Latest update: 21 Jul 2017
Publications Copernicus
Download
Short summary
When the initial perturbation is large or the prediction time is long, the strong nonlinearity of the dynamical model on the prediction variable will lead to failure of the ADJ-CNOP method; when the objective function has multiple extreme values, ADJ-CNOP has a large probability of producing local CNOPs, hence making false estimations of the lower bound of maximum predictable time.
When the initial perturbation is large or the prediction time is long, the strong nonlinearity...
Share