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

Borovsky, Joseph E.; Osmane, Adnane

doi:https://doi.org/10.5194/npg-26-429-2019

Articles | Volume 26, issue 4

https://doi.org/10.5194/npg-26-429-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-26-429-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 4

Research article

| Highlight paper

|

22 Nov 2019

Research article | Highlight paper |

| 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

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Final revised paper (published on 22 Nov 2019)
Preprint (discussion started on 20 May 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee report on “Compacting the Description of a Time-Dependent Multivariable System and Its Time-Dependent Multivariable Driver by Reducing the System and Driver State Vectors to Aggregate Scalars: The Earth’s Solar-Wind-Driven Magnetosphere"', Anonymous Referee #1, 25 Jun 2019
- AC2: 'response to reviewer and revision of the manuscript', Joseph Borovsky, 16 Aug 2019
RC2: 'Review of M. Stepanova', Marina Stepanova, 26 Jun 2019
- AC1: 'Reply to review.', Joseph Borovsky, 16 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Joseph Borovsky on behalf of the Authors (21 Aug 2019) Author's response Manuscript

ED: Publish as is (22 Aug 2019) by A. Surjalal Sharma (deceased)

AR by Joseph Borovsky on behalf of the Authors (15 Oct 2019) Manuscript

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.