Data mining for vortices on the Earth's magnetosphere – algorithm application for detection and analysis

Collado-Vega, Yaireska M.; Kalb, Virginia L.; Sibeck, David G.; Hwang, Kyoung-Joo; Rastätter, Lutz

doi:https://doi.org/10.5194/angeo-36-1117-2018

Articles | Volume 36, issue 4

https://doi.org/10.5194/angeo-36-1117-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/angeo-36-1117-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 36, issue 4

Regular paper

|

16 Aug 2018

Regular paper |

| 16 Aug 2018

Data mining for vortices on the Earth's magnetosphere – algorithm application for detection and analysis

Yaireska M. Collado-Vega, Virginia L. Kalb, David G. Sibeck, Kyoung-Joo Hwang, and Lutz Rastätter

Supplement

https://doi.org/10.5194/angeo-36-1117-2018-supplement

Data sets

Simulation results Community Coordinated Modeling Center http://ccmc. gsfc.nasa.gov

Video supplement

Animation of vortices found with the VIA Y. Collado-Vega and V. Kalb https://doi.org/10.5446/37139#t=00:35,00:36

Short summary

This paper describes an algorithm that automatically detects vortices around the Earth's magnetosphere using the velocity field from simulated data. It also describes how the tool can be used to analyze further properties of the vortices including the velocity changes within their motion across the magnetosheath. Vortices developed at the magnetopause boundary contribute to the process of mass, momentum and energy transfer from the solar wind into the Earth's magnetosphere.