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Global Driving of Auroral Precipitation: 1. Balance of Sources
The accurate determination of auroral precipitation in global models has remained a daunting and rather inexplicable obstacle. Understanding the calculation and balance of multiple sources that constitute the aurora, and their eventual conversion into ionospheric electrical conductance, is critical...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539890/ https://www.ncbi.nlm.nih.gov/pubmed/36248015 http://dx.doi.org/10.1029/2022JA030323 |
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author | Mukhopadhyay, Agnit Welling, Daniel Liemohn, Michael Ridley, Aaron Burleigh, Meghan Wu, Chen Zou, Shasha Connor, Hyunju Vandegriff, Elizabeth Dredger, Pauline Tóth, Gabor |
author_facet | Mukhopadhyay, Agnit Welling, Daniel Liemohn, Michael Ridley, Aaron Burleigh, Meghan Wu, Chen Zou, Shasha Connor, Hyunju Vandegriff, Elizabeth Dredger, Pauline Tóth, Gabor |
author_sort | Mukhopadhyay, Agnit |
collection | PubMed |
description | The accurate determination of auroral precipitation in global models has remained a daunting and rather inexplicable obstacle. Understanding the calculation and balance of multiple sources that constitute the aurora, and their eventual conversion into ionospheric electrical conductance, is critical for improved prediction of space weather events. In this study, we present a semi‐physical global modeling approach that characterizes contributions by four types of precipitation—monoenergetic, broadband, electron, and ion diffuse—to ionospheric electrodynamics. The model uses a combination of adiabatic kinetic theory and loss parameters derived from historical energy flux patterns to estimate auroral precipitation from magnetohydrodynamic (MHD) quantities. It then converts them into ionospheric conductance that is used to compute the ionospheric feedback to the magnetosphere. The model has been employed to simulate the 5–7 April 2010 Galaxy15 space weather event. Comparison of auroral fluxes show good agreement with observational data sets like NOAA‐DMSP and OVATION Prime. The study shows a dominant contribution by electron diffuse precipitation, accounting for ∼74% of the auroral energy flux. However, contributions by monoenergetic and broadband sources dominate during times of active upstream solar conditions, providing for up to 61% of the total hemispheric power. The study also finds a greater role played by broadband precipitation in ionospheric electrodynamics which accounts for ∼31% of the Pedersen conductance. |
format | Online Article Text |
id | pubmed-9539890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95398902022-10-14 Global Driving of Auroral Precipitation: 1. Balance of Sources Mukhopadhyay, Agnit Welling, Daniel Liemohn, Michael Ridley, Aaron Burleigh, Meghan Wu, Chen Zou, Shasha Connor, Hyunju Vandegriff, Elizabeth Dredger, Pauline Tóth, Gabor J Geophys Res Space Phys Research Article The accurate determination of auroral precipitation in global models has remained a daunting and rather inexplicable obstacle. Understanding the calculation and balance of multiple sources that constitute the aurora, and their eventual conversion into ionospheric electrical conductance, is critical for improved prediction of space weather events. In this study, we present a semi‐physical global modeling approach that characterizes contributions by four types of precipitation—monoenergetic, broadband, electron, and ion diffuse—to ionospheric electrodynamics. The model uses a combination of adiabatic kinetic theory and loss parameters derived from historical energy flux patterns to estimate auroral precipitation from magnetohydrodynamic (MHD) quantities. It then converts them into ionospheric conductance that is used to compute the ionospheric feedback to the magnetosphere. The model has been employed to simulate the 5–7 April 2010 Galaxy15 space weather event. Comparison of auroral fluxes show good agreement with observational data sets like NOAA‐DMSP and OVATION Prime. The study shows a dominant contribution by electron diffuse precipitation, accounting for ∼74% of the auroral energy flux. However, contributions by monoenergetic and broadband sources dominate during times of active upstream solar conditions, providing for up to 61% of the total hemispheric power. The study also finds a greater role played by broadband precipitation in ionospheric electrodynamics which accounts for ∼31% of the Pedersen conductance. John Wiley and Sons Inc. 2022-07-11 2022-07 /pmc/articles/PMC9539890/ /pubmed/36248015 http://dx.doi.org/10.1029/2022JA030323 Text en ©2022. The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mukhopadhyay, Agnit Welling, Daniel Liemohn, Michael Ridley, Aaron Burleigh, Meghan Wu, Chen Zou, Shasha Connor, Hyunju Vandegriff, Elizabeth Dredger, Pauline Tóth, Gabor Global Driving of Auroral Precipitation: 1. Balance of Sources |
title | Global Driving of Auroral Precipitation: 1. Balance of Sources |
title_full | Global Driving of Auroral Precipitation: 1. Balance of Sources |
title_fullStr | Global Driving of Auroral Precipitation: 1. Balance of Sources |
title_full_unstemmed | Global Driving of Auroral Precipitation: 1. Balance of Sources |
title_short | Global Driving of Auroral Precipitation: 1. Balance of Sources |
title_sort | global driving of auroral precipitation: 1. balance of sources |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539890/ https://www.ncbi.nlm.nih.gov/pubmed/36248015 http://dx.doi.org/10.1029/2022JA030323 |
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