The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation

The chemical imprint of the energetic electron precipitation on the atmosphere is now acknowledged as a part of the natural forcing of the climate system. It has, however, been questioned to which degree current proxies are able to quantify the medium energy electron (MEE) (≳30 keV) precipitation an...

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Main Authors: H. Nesse Tyssøy, N. Partamies, E. M. Babu, C. Smith-Johnsen, J. A. Salice
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2021.714146/full
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author H. Nesse Tyssøy
N. Partamies
N. Partamies
E. M. Babu
C. Smith-Johnsen
J. A. Salice
author_facet H. Nesse Tyssøy
N. Partamies
N. Partamies
E. M. Babu
C. Smith-Johnsen
J. A. Salice
author_sort H. Nesse Tyssøy
collection DOAJ
description The chemical imprint of the energetic electron precipitation on the atmosphere is now acknowledged as a part of the natural forcing of the climate system. It has, however, been questioned to which degree current proxies are able to quantify the medium energy electron (MEE) (≳30 keV) precipitation and the associated daily and decadal variability. It is particularly challenging to model the high energy tail (≳300 keV) of MEE, both in terms of the intensity as well as the timing. This study explores the predictive capabilities of the AE index for the MEE precipitation. MEE measurements from the NOAA/POES over a full solar cycle from 2004 to 2014 are applied. We combine observations from the MEPED 0° and 90° detectors together with theory of pitch angle diffusion by wave-particle interaction to estimate the precipitating fluxes. To explore the energy dependent time scales, each of the MEPED energy channels, > 43, >114, and >292 keV are evaluated independently. While there is a strong correlation between the daily resolved AE index and >43 keV fluxes, it is a poor predictor for the >292 keV fluxes. We create new AE based MEE proxies by accumulating the AE activity over multiple days, including terms counting for the associated lifetimes. The results indicate that AE based proxies can predict at least 70% of the observed MEE precipitation variance at all energies. The potential link between the AE index, substorms and the MEE precipitation is discussed.
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spelling doaj.art-8c4c1a95814241a99006b95817c11e592022-12-21T20:13:56ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2021-10-01810.3389/fspas.2021.714146714146The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron PrecipitationH. Nesse Tyssøy0N. Partamies1N. Partamies2E. M. Babu3C. Smith-Johnsen4J. A. Salice5Birkeland Centre for Space Science, Department of Physics and Technology, University of Bergen, Bergen, NorwayBirkeland Centre for Space Science, Department of Physics and Technology, University of Bergen, Bergen, NorwayDepartment of Arctic Geophysics, The University Centre in Svalbard (UNIS), Longyearbyen, NorwayBirkeland Centre for Space Science, Department of Physics and Technology, University of Bergen, Bergen, NorwayBirkeland Centre for Space Science, Department of Physics and Technology, University of Bergen, Bergen, NorwayBirkeland Centre for Space Science, Department of Physics and Technology, University of Bergen, Bergen, NorwayThe chemical imprint of the energetic electron precipitation on the atmosphere is now acknowledged as a part of the natural forcing of the climate system. It has, however, been questioned to which degree current proxies are able to quantify the medium energy electron (MEE) (≳30 keV) precipitation and the associated daily and decadal variability. It is particularly challenging to model the high energy tail (≳300 keV) of MEE, both in terms of the intensity as well as the timing. This study explores the predictive capabilities of the AE index for the MEE precipitation. MEE measurements from the NOAA/POES over a full solar cycle from 2004 to 2014 are applied. We combine observations from the MEPED 0° and 90° detectors together with theory of pitch angle diffusion by wave-particle interaction to estimate the precipitating fluxes. To explore the energy dependent time scales, each of the MEPED energy channels, > 43, >114, and >292 keV are evaluated independently. While there is a strong correlation between the daily resolved AE index and >43 keV fluxes, it is a poor predictor for the >292 keV fluxes. We create new AE based MEE proxies by accumulating the AE activity over multiple days, including terms counting for the associated lifetimes. The results indicate that AE based proxies can predict at least 70% of the observed MEE precipitation variance at all energies. The potential link between the AE index, substorms and the MEE precipitation is discussed.https://www.frontiersin.org/articles/10.3389/fspas.2021.714146/fullenergetic electron precipitationmedium energy electronsouter radiation beltauroral electrojet indexsubstorms
spellingShingle H. Nesse Tyssøy
N. Partamies
N. Partamies
E. M. Babu
C. Smith-Johnsen
J. A. Salice
The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
Frontiers in Astronomy and Space Sciences
energetic electron precipitation
medium energy electrons
outer radiation belt
auroral electrojet index
substorms
title The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
title_full The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
title_fullStr The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
title_full_unstemmed The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
title_short The Predictive Capabilities of the Auroral Electrojet Index for Medium Energy Electron Precipitation
title_sort predictive capabilities of the auroral electrojet index for medium energy electron precipitation
topic energetic electron precipitation
medium energy electrons
outer radiation belt
auroral electrojet index
substorms
url https://www.frontiersin.org/articles/10.3389/fspas.2021.714146/full
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