EGU22-13384
https://doi.org/10.5194/egusphere-egu22-13384
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Variability of ionospheric plasma studied and modelled based on data from the Swarm satellites

Yaqi Jin1, Wojciech J. Miloch1, Lucilla Alfonsi2, Luca Spogli2,3, Jaroslav Urbář2, Claudio Cesaroni2, Antonio Cicone4, Alan G. Wood5, James Rawlings6, Golnaz Sahtahmassebi6, Lasse B.N. Clausen1, Per Høeg1, Jaime Muñoz Redondo7, Maria José Brazal Aragón7, and Paweł Wojtkiewicz7
Yaqi Jin et al.
  • 1Department of Physics, University of Oslo, Oslo, Norway
  • 2Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
  • 3SpacEarth Technology, Rome, Italy
  • 4DISIM, Università degli Studi dell'Aquila, L'Aquila, Italy
  • 5School of Engineering, University of Birmingham, UK
  • 6School of Science & Technology, Nottingham Trent University, Nottingham, UK
  • 7GMV Innovating Solutions Sp. z o.o., Warsaw, Poland

The state of the Earth’s ionosphere is an important aspect of the Sun-Earth system. It reflects  dynamical coupling of the solar wind with the Earth’s magnetosphere. Its understanding has also an applied aspect in the context of the space weather effects. For example, ionospheric plasma irregularities impact the propagation of radio waves, and they can degrade radio communication or positioning with the Global Navigation Satellite Systems (GNSS). The European Space Agency’s Swarm+ 4DIonosphere initiative aims at advancing our understanding and characterisation of the processes in the ionosphere to better model and eventually predict the state of the ionosphere. Within this framework, through the project “Swarm Variability of Ionospheric Plasma” (Swarm-VIP), we analyse spatiotemporal characteristics of ionospheric plasma at different geomagnetic latitudes and uncover coupling between various scales in the ionosphere. Taking advantage of the orbital characteristics of the Swarm satellites and using complementary analysis techniques, such as wavelets or Fast Iterative Filtering, we ascertain the dominant scales at given geomagnetic conditions. The result of the study is a semi-empiric model of the ionosphere based on the generalised linear modeling approach. The model determines the probability of occurrence of different scales in ionospheric plasma with respect to geomagnetic conditions. It also gives insight into ionospheric structuring and related space weather effects. The Swarm-VIP model is provided globally, along the whole orbits of the Swarm satellites, and a special emphasis is put on the polar regions, Arctic and Antarctica, and the European sector, where the validation study is carried out with a network of the ground-based instruments.

How to cite: Jin, Y., Miloch, W. J., Alfonsi, L., Spogli, L., Urbář, J., Cesaroni, C., Cicone, A., Wood, A. G., Rawlings, J., Sahtahmassebi, G., Clausen, L. B. N., Høeg, P., Redondo, J. M., Brazal Aragón, M. J., and Wojtkiewicz, P.: Variability of ionospheric plasma studied and modelled based on data from the Swarm satellites, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13384, https://doi.org/10.5194/egusphere-egu22-13384, 2022.