EGU23-15979
https://doi.org/10.5194/egusphere-egu23-15979
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Auroral oval identification based on Swarm magnetometer data

Margot Decotte, Spencer Hatch, Karl Laundal, and Jone Reistad
Margot Decotte et al.
  • University of Bergen, Faculty of Mathematics and Natural Sciences, Department of Physics and Technology, Bergen, Norway (margot.decotte@gmail.com)

Following the work done with the DMSP spectrometer data to derive the auroral occurrence probability in all covered MLat-MLT sectors above 50 degrees MLat (Decotte et al. 2023), here we use the Swarm magnetometer data to extract the probability to detect magnetic field perturbations in the East--West direction. We derive the integrated spectral density from the magnetic field data in a given frequency band, and we define a minimum power threshold above which fluctuations would indicate field-aligned currents. We obtain MLat-MLT distributions of magnetic field fluctuations for various geomagnetic conditions. We find strong similarities between the preferred region of magnetic perturbations and the Xiong and Lühr auroral boundaries (2014), suggesting that the auroral oval morphology could be investigated through magnetic field spectral power estimates. We compare the magnetic field fluctuation probability with the auroral occurrence probability (DMSP particle data) and we find a recurrent dawn-dusk asymmetric pattern in both distributions.  

How to cite: Decotte, M., Hatch, S., Laundal, K., and Reistad, J.: Auroral oval identification based on Swarm magnetometer data, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15979, https://doi.org/10.5194/egusphere-egu23-15979, 2023.