Europlanet Science Congress 2020
Virtual meeting
21 September – 9 October 2020
Europlanet Science Congress 2020
Virtual meeting
21 September – 9 October 2020
EPSC Abstracts
Vol.14, EPSC2020-1087, 2020
https://doi.org/10.5194/epsc2020-1087
Europlanet Science Congress 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Towards a Multi-Decadal Dataset of Auroral Kilometric Radiation (AKR) Source Parameters with Wind/WAVES

James Waters1, Caitriona Jackman2, Daniel Whiter1, Laurent Lamy3, Xavier Bonnin3, Baptiste Cecconi3, and Karine Issautier3
James Waters et al.
  • 1University of Southampton, School of Physics and Astronomy, Space Environment Physics Group, United Kingdom of Great Britain and Northern Ireland (j.waters@soton.ac.uk)
  • 2Astronomy and Astrophysics Section, Dublin Institute for Advanced Studies, Dublin, Ireland
  • 3Observatoire de Paris-PSL, LESIA, CNRS, Meudon, France

Auroral Kilometric Radiation (AKR) is radio emission that originates in particle acceleration regions along magnetic field lines that coincide with discrete auroral arcs. Radio astronomy instruments aboard various spacecraft have been used to derive the flux density, source direction and other parameters of emissions of various origin. The Wind spacecraft has been in operation for 25 years and the WAVES radio instrument has previously been considered for a technique to also derive the Stokes parameters of a partially polarised radio source. While previous applications of the technique have seen it modified to study solar radio emissions, further examination is needed for its application to AKR. After correcting appropriately for the characteristics of the AKR emissions, this technique can be used to produce a utile dataset of AKR observations. Statistical properties of AKR can be examined, with the extent of local time sampling of Wind bolstering previous studies. The previously observed correlation between morphological changes in the source region and magnetospheric substorm onset can be studied further, and lists of substorm phase timings can be used to examine the general variability during these events.

How to cite: Waters, J., Jackman, C., Whiter, D., Lamy, L., Bonnin, X., Cecconi, B., and Issautier, K.: Towards a Multi-Decadal Dataset of Auroral Kilometric Radiation (AKR) Source Parameters with Wind/WAVES, Europlanet Science Congress 2020, online, 21 September–9 Oct 2020, EPSC2020-1087, https://doi.org/10.5194/epsc2020-1087, 2020