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Comparison of characteristics of electron density fluctuations from Swarm satellites with the ground-based scintillation data

Daria Kotova - Department of Physics, University of Oslo; Yaqi Jin - Department of Physics, University of Oslo, Norway; Steffen Brask - Department of Physics, University of Oslo, Norway; Pierre Cilliers - South African National Space Agency, Space Science, South Africa; Wojciech Miloch - Department of Physics, University of Oslo, Norway

Thermosphere-ionosphere interactions and effects (I)

Abstract

The main reason for the observation of scintillation at high and low latitudes is the passage of the signal through ionospheric irregularities in the propagation medium. Ionospheric irregularities are often the cause of GNSS precise positioning errors, as well as disruption of radio communications in the HF range. The reason for the occurrence of these irregularities can be various non-stationary processes in the near-Earth space plasma that depend on the response of the ionosphere to the variations in the near-Earth space. Therefore, the study of ionospheric irregularities is an urgent scientific and applied problem.

We use a global product based on the Swarm satellite measurements that characterizes ionospheric irregularities and fluctuations. The IPIR (Ionospheric Plasma IRregularities product) provides characteristics of plasma density structures in the ionosphere, of plasma irregularities in terms of their amplitudes, gradients and spatial scales and assigns them to geomagnetic regions. It also provides indication, in the form of a numerical value index, on their severity for the integrity of trans-ionospheric radio signals and hence the accuracy of GNSS precise positioning.

In this work we continue validations of the IPIR product against the ground-based measurements, focusing on GPS TEC and scintillation data in low and high-latitudes regions.

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Approaching deadlines:

Registration opens:

16 July 2020

Abstract submission opens:

16 July 2020

European Space Weather Medals:

6 September 2020

Registration deadline:

25 September 2020

Registration deadline: [extended]

10 October 2020

Abstract submission deadline:

4 September 2020