EGU21-15314
https://doi.org/10.5194/egusphere-egu21-15314
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Identifying the plasmapause location from global auroral image data

Michaela Mooney1,2, Colin Forsyth1, Mike Marsh2, and Jonathan Rae3
Michaela Mooney et al.
  • 1University College London, Mullard Space Science Laboratory, Space and Climate Physics, UK (m.mooney.16@ucl.ac.uk)
  • 2Met Office, Exeter, UK
  • 3Northumbria University, Newcastle upon Tyne, UK

Identifying the plasmapause location is crucial for forecasting and modelling the radiation belts, as well as larger scale models of the magnetosphere. The ionospheric footpoints of the plasmapause are thought to map to the equatorward edge of the diffuse aurora, with the first direct observation of an undulation of the plasmapause boundary and corresponding auroral features reported by He et al. (2020). Despite the importance of the plasmapause location, we do not have global observations of the plasmapause location.

We provide a new statistical model of the plasmapause location determined from mapping the equatorward boundary of the observed auroral oval out to the inner magnetosphere. The model uses the equatorward boundary of the auroral oval determined from far-ultraviolet observations from the IMAGE spacecraft from Longden et al. (2010) to provide a statistical estimate of the plasmapause location for different levels of geomagnetic activity. Comparing the results of the statistical plasmapause model to other more direct measurements of the plasmapause shows a good agreement in the nightside local time sectors. 

The results of this analysis show that the equatorward boundary of the auroral oval statistically maps closely to the plasmapause boundary the nightside sectors and provides an alternative use for global auroral image data from the upcoming SMILE mission. 

How to cite: Mooney, M., Forsyth, C., Marsh, M., and Rae, J.: Identifying the plasmapause location from global auroral image data, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-15314, https://doi.org/10.5194/egusphere-egu21-15314, 2021.

Displays

Display file