On the Electron Temperature in the Topside Ionosphere as Seen by Swarm Satellites, Incoherent Scatter Radars, and the International Reference Ionosphere Model

0547108 - ÚFA 2022 RIV CH eng J - Journal Article
Pignalberi, A. - Giannattasio, F. - Truhlík, Vladimír - Coco, I. - Pezzopane, M. - Consolini, G. - Michelis de, P. - Tozzi, R.
On the Electron Temperature in the Topside Ionosphere as Seen by Swarm Satellites, Incoherent Scatter Radars, and the International Reference Ionosphere Model.
Remote Sensing. Roč. 13, č. 20 (2021), č. článku 4077. E-ISSN 2072-4292
R&D Projects: GA MŠMT(CZ) LTAUSA17100
Institutional support: RVO:68378289
Keywords : electron temperature * topside ionosphere * ESA Swarm satellites * International Reference Ionosphere model * Langmuir Probes in-situ data * Incoherent Scatter Radar data
OECD category: Meteorology and atmospheric sciences
Impact factor: 5.349, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2072-4292/13/20/4077

The global statistical median behavior of the electron temperature (Te) in the topside ionosphere was investigated through in-situ data collected by Langmuir Probes on-board the European Space Agency Swarm satellites constellation from the beginning of 2014 to the end of 2020. This is the first time that such an analysis, based on such a large time window, has been carried out globally, encompassing more than half a solar cycle, from the activity peak of 2014 to the minimum of 2020. The results show that Swarm data can help in understanding the main features of Te in the topside ionosphere in a way never achieved before. Te data measured by Swarm satellites were also compared to data modeled by the empirical climatological International Reference Ionosphere (IRI) model and data measured by Jicamarca (12.0°S, 76.8°W), Arecibo (18.2°N, 66.4°W), and Millstone Hill (42.6°N, 71.5°W) Incoherent Scatter Radars (ISRs). Moreover, the correction of Swarm Te data recently proposed by Lomidze was applied and evaluated. These analyses were performed for two main reasons: (1) to understand how the IRI model deviates from the measurements: and (2) to test the reliability of the Swarm dataset as a new possible dataset to be included in the underlying empirical dataset layer of the IRI model. The results show that the application of the Lomidze correction improved the agreement with ISR data above all at mid latitudes and during daytime, and it was effective in reducing the mismatch between Swarm and IRI Te values. This suggests that future developments of the IRI Te model should include the Swarm dataset with the Lomidze correction. However, the existence of a quasi-linear relation between measured and modeled Te values was well verified only below about 2200 K, while for higher values it was completely lost. This is an important result that IRI Te model developers should properly consider when using the Swarm dataset.
Permanent Link: http://hdl.handle.net/11104/0323440