2022
DOI: 10.1029/2021ja030102
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Ionospheric Energy Input in Response to Changes in Solar Wind Driving: Statistics From the SuperDARN and AMPERE Campaigns

Abstract: For over a decade, the Super Dual Auroral Radar Network and the Active Magnetosphere and Planetary Electrodynamics Response Experiment have been measuring ionospheric convection and field‐aligned currents in the high‐latitude regions, respectively. Using both, high‐latitude maps of the magnetosphere‐ionosphere energy transfer rate (the Poynting flux) have been generated with a time resolution of 2 min between 2010 and 2017. These data driven Poynting flux (PF) patterns are used in this study to perform a super… Show more

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Cited by 7 publications
(8 citation statements)
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“…Early Poynting flux estimations such as these could generally be considered as mostly quasi-static due to the coarse sampling of data and thus large spatial scale. Recently, a combination of SuperDARN and AMPERE (Anderson et al, 2014;Chisham et al, 2007) fitted electric and magnetic field data products has also produced statistical Poynting flux estimations (Billett et al, 2021(Billett et al, , 2022, but these too are likely to a be quasi-static due to the global nature of the SuperDARN and AMPERE fits. As time has passed however, significant data coverage now exists across numerous spacecraft such that statistical studies of the Poynting flux have been made possible with a much higher cadence of measurements (Cosgrove et al, 2022;Ivarsen et al, 2020;Knipp et al, 2021).…”
mentioning
confidence: 99%
“…Early Poynting flux estimations such as these could generally be considered as mostly quasi-static due to the coarse sampling of data and thus large spatial scale. Recently, a combination of SuperDARN and AMPERE (Anderson et al, 2014;Chisham et al, 2007) fitted electric and magnetic field data products has also produced statistical Poynting flux estimations (Billett et al, 2021(Billett et al, , 2022, but these too are likely to a be quasi-static due to the global nature of the SuperDARN and AMPERE fits. As time has passed however, significant data coverage now exists across numerous spacecraft such that statistical studies of the Poynting flux have been made possible with a much higher cadence of measurements (Cosgrove et al, 2022;Ivarsen et al, 2020;Knipp et al, 2021).…”
mentioning
confidence: 99%
“…By using the global fits to E and δ B from SuperDARN and AMPERE, the Poynting flux can be derived globally using Equation (Billett, McWilliams, Perry, et al., 2022; Billett et al., 2021; Waters et al., 2004). Figure 1 shows an example SuperDARN/AMPERE Poynting flux calculation, illustrating that it is a powerful technique to achieve a data‐driven snapshot of the global Poynting flux morphology.…”
Section: Datamentioning
confidence: 99%
“…These studies calculated the Poynting flux using the full electric field vector (E) rather than its perturbation from the back-ground large-scale convection (δE), therefore representing the large-scale quasi-static Poynting flux better than the Alfvénic. However, the quasi-static Poynting flux patterns derived from SuperDARN electric fields and AMPERE magnetic fields by Billett et al (2022) show a much lower magnitude cusp contribution, compared to those from Cosgrove et al (2014) and Knipp et al (2021). We suggest that the latter spacecraft observations may thus be observing some contributions from both quasi-static and Alfvénic Poynt- In this case, the discrepancy is likely due to the higher spatio-temporal resolution of the satellite electric field measurements (1 Hz for DMSP, and between 33 and 4 Hz for FAST) when compared to both SuperDARN and AMPERE, both of which utilise global scale fits to data averaged over several minutes.…”
Section: Solar Windmentioning
confidence: 99%
“…Early Poynting flux estimations such as these could generally be considered as mostly quasi-static due to the coarse sampling of data and thus large spatial scale. Recently, a combination of SuperDARN and AMPERE (Chisham et al, 2007;Anderson et al, 2014) fitted electric and magnetic field data products has also produced statistical Poynting flux estimations (Billett et al, 2021(Billett et al, , 2022, but these too are likely to a be quasi-static due to the global nature of the Su-perDARN and AMPERE fits. As time has passed however, significant data coverage now exists across numerous spacecraft such that statistical studies of the Poynting flux have been made possible with a much higher cadence of measurements (Ivarsen et al, 2020;Knipp et al, 2021;Cosgrove et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
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