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

Journal metrics

Journal metrics

  • IF value: 1.699 IF 1.699
  • IF 5-year value: 1.559 IF 5-year
    1.559
  • CiteScore value: 1.61 CiteScore
    1.61
  • SNIP value: 0.884 SNIP 0.884
  • IPP value: 1.49 IPP 1.49
  • SJR value: 0.648 SJR 0.648
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 52 Scimago H
    index 52
  • h5-index value: 21 h5-index 21
NPG | Articles | Volume 26, issue 4
Nonlin. Processes Geophys., 26, 429–443, 2019
https://doi.org/10.5194/npg-26-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nonlin. Processes Geophys., 26, 429–443, 2019
https://doi.org/10.5194/npg-26-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 Nov 2019

Research article | 22 Nov 2019

Compacting the description of a time-dependent multivariable system and its multivariable driver by reducing the state vectors to aggregate scalars: the Earth's solar-wind-driven magnetosphere

Joseph E. Borovsky and Adnane Osmane

Viewed

Total article views: 1,209 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
914 274 21 1,209 15 19
  • HTML: 914
  • PDF: 274
  • XML: 21
  • Total: 1,209
  • BibTeX: 15
  • EndNote: 19
Views and downloads (calculated since 20 May 2019)
Cumulative views and downloads (calculated since 20 May 2019)

Viewed (geographical distribution)

Total article views: 812 (including HTML, PDF, and XML) Thereof 803 with geography defined and 9 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (discussion paper)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (discussion paper)

No discussed metrics found.
Latest update: 24 Feb 2020
Publications Copernicus
Download
Short summary
A methodology is developed to simplify the mathematical description of activity in a time-dependent driven system. The method describes the response in the system that is most-closely related to the driver. This reduced description has advantages: low noise, high prediction efficiency, linearity in the described system response to the driver, and compactness. The analysis of the Earth’s magnetospheric system is demonstrated.
A methodology is developed to simplify the mathematical description of activity in a...
Citation