Among the effects of space weather, the degradation of air traffic communications and satellite-based navigation systems are the most notable. For this reason, it is of uttermost importance to understand the nature and origin of ionospheric irregularities that are at the base of the observed communication outages. Here we focus on polar cap patches (PCPs) that constitute a special class of ionospheric irregularities observed at very high latitudes in the F region. To this purpose we use the so-called PCP flag, a Swarm Level 2 product, that allows for identifying PCPs. We relate the presence of PCPs to the values of the first- and second-order scaling exponents and intermittency estimated from Swarm A electron density fluctuations and to the values of the Rate Of change of electron Density Index (RODI) for two different levels of geomagnetic activity, over a time span of approximately 3.5 years starting on 16 July 2014. Our findings show that values of RODI, first- and second-order scaling exponents and intermittency corresponding to measurements taken inside PCPs differ from those corresponding to measurements taken outside PCPs. Additionally, the values of the first- and second-order scaling exponents and of intermittency indicate that PCPs are in a turbulent state. Investigation of the coincidence of loss of lock (LoL) events with PCPs displayed that approximately 57.4% of LoLs in the Northern hemisphere and 45.7% in the Southern hemisphere occur in coincidence of PCPs when disturbed geomagnetic activity is considered. During quiet geomagnetic conditions these percentages decrease to 51.4% in the Northern hemisphere and to 20.1% in the Southern hemisphere.

Polar Cap Patches Scaling Properties: Insights from Swarm Data / Tozzi, Roberta; De Michelis, Paola; Lovati, Giulia; Consolini, Giuseppe; Pignalberi, Alessio; Pezzopane, Michael; Coco, Igino; Giannattasio, Fabio; Federica Marcucci, Maria. - In: REMOTE SENSING. - ISSN 2072-4292. - (2023). [10.3390/rs15174320]

Polar Cap Patches Scaling Properties: Insights from Swarm Data

Giulia Lovati;
2023

Abstract

Among the effects of space weather, the degradation of air traffic communications and satellite-based navigation systems are the most notable. For this reason, it is of uttermost importance to understand the nature and origin of ionospheric irregularities that are at the base of the observed communication outages. Here we focus on polar cap patches (PCPs) that constitute a special class of ionospheric irregularities observed at very high latitudes in the F region. To this purpose we use the so-called PCP flag, a Swarm Level 2 product, that allows for identifying PCPs. We relate the presence of PCPs to the values of the first- and second-order scaling exponents and intermittency estimated from Swarm A electron density fluctuations and to the values of the Rate Of change of electron Density Index (RODI) for two different levels of geomagnetic activity, over a time span of approximately 3.5 years starting on 16 July 2014. Our findings show that values of RODI, first- and second-order scaling exponents and intermittency corresponding to measurements taken inside PCPs differ from those corresponding to measurements taken outside PCPs. Additionally, the values of the first- and second-order scaling exponents and of intermittency indicate that PCPs are in a turbulent state. Investigation of the coincidence of loss of lock (LoL) events with PCPs displayed that approximately 57.4% of LoLs in the Northern hemisphere and 45.7% in the Southern hemisphere occur in coincidence of PCPs when disturbed geomagnetic activity is considered. During quiet geomagnetic conditions these percentages decrease to 51.4% in the Northern hemisphere and to 20.1% in the Southern hemisphere.
2023
space weather; ionospheric irregularities; polar cap patches; turbulence; Swarm satellite; geomagnetic activity; loss of lock
01 Pubblicazione su rivista::01a Articolo in rivista
Polar Cap Patches Scaling Properties: Insights from Swarm Data / Tozzi, Roberta; De Michelis, Paola; Lovati, Giulia; Consolini, Giuseppe; Pignalberi, Alessio; Pezzopane, Michael; Coco, Igino; Giannattasio, Fabio; Federica Marcucci, Maria. - In: REMOTE SENSING. - ISSN 2072-4292. - (2023). [10.3390/rs15174320]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1692579
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