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

Data sets

1991-2007 hourly data J. E. Borovsky https://doi.org/10.5281/zenodo.1560686

Model code and software

Hourly data 1991-2007 of three aggregate variables describing the magnetospheric system and three aggregate solar-wind driver variables J. E. Borovsky https://doi.org/10.17605/OSF.IO/QYTNJ

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.