2018
DOI: 10.1029/2018ja025636
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Electron Energy Spectrum and Auroral Power Estimation From Incoherent Scatter Radar Measurements

Abstract: Differential energy flux of electrons precipitating into the high‐latitude ionosphere can be estimated from incoherent scatter radar observations of the ionospheric electron density profile. We present a method called ELSPEC for electron spectrum estimation from incoherent scatter radar measurements, which is based on integration of the electron continuity equation and spectrum model selection by means of the Akaike information criterion. This approach allows us to use data with almost arbitrary time resolutio… Show more

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Cited by 15 publications
(42 citation statements)
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“…The figures in brackets are the standard deviation. The radar inversion uncertainty is 20% 12 whereas the optical modelling uncertainty is 10% 17 . Previous studies have determined a mean of 4.4 16 and 6.7 keV 4 for black aurora energies, which is consistent with our findings.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The figures in brackets are the standard deviation. The radar inversion uncertainty is 20% 12 whereas the optical modelling uncertainty is 10% 17 . Previous studies have determined a mean of 4.4 16 and 6.7 keV 4 for black aurora energies, which is consistent with our findings.…”
Section: Resultsmentioning
confidence: 99%
“…1 , 2 and 3 , a key parameter is the mean energy of the precipitating electrons creating the optical phenomenon. This can be determined uniquely by inverting the electron density altitude profile as observed by the EISCAT radar because new ionisation in the atmosphere depends on the flux of precipitating electrons from space whose final deposition altitude depends on their initial energy above the atmosphere 12 . The EISCAT arc1 code effectively covers all precipitating electron energies below 30 keV due to the altitude range covered when pointing into the (near vertical) magnetic zenith 11 .…”
Section: Instrumentation and Observationsmentioning
confidence: 99%
“…ELSPEC also requires the atmospheric neutral and ion composition density as a function of altitude, which is derived from the MSIS 24 and IRI models 25 . Uncertainty in the composition estimates may cause about 10% error in the total energy flux estimates 12 . The overall inversion uncertainty is ∼20% 12 .…”
Section: Methodsmentioning
confidence: 99%
“…In addition to the morphology of the anti-black and black auroras, shown in Figures 1-3, a key parameter is the mean energy of the precipitating electrons creating the optical phenomenon. This can be determined uniquely by inverting the electron density altitude profile as observed by the EISCAT radar because new ionisation in the atmosphere depends on the flux of precipitating electrons from space whose final deposition altitude depends on their initial energy above the atmosphere 12 . The EISCAT arc1 code effectively covers all precipitating electron energies below ∼30 keV due to the altitude range covered when pointing into the (near vertical) magnetic zenith 11 .…”
Section: Instrumentation and Observationsmentioning
confidence: 99%
“…The high oxygen density in the Daedalus orbital environment, in particular near perigee, will cause EFI probe surfaces to oxidize. Oxidation of probe surfaces can create an electrically resistive layer on the probe surface (Ergun et al, 2015), or it can erode probe coatings entirely (Visentine, 1983;Visentine et al, 1985). Either effect can degrade or destroy the ability of EFI to measure DC-coupled electric fields (Mozer et al, 2016).…”
Section: Electric Field Instrument (Efi)mentioning
confidence: 99%