Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses
We applied two different techniques to identify high-density structures in global maps of height-integrated electron density of the Earth’s ionosphere. We discuss benefits and limitations of these approaches to structure identification. We suggest that they are complementary and can aid our understa...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-04-01
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Series: | Frontiers in Astronomy and Space Sciences |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fspas.2022.852222/full |
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author | Olga Verkhoglyadova Xing Meng Jacob Kosberg |
author_facet | Olga Verkhoglyadova Xing Meng Jacob Kosberg |
author_sort | Olga Verkhoglyadova |
collection | DOAJ |
description | We applied two different techniques to identify high-density structures in global maps of height-integrated electron density of the Earth’s ionosphere. We discuss benefits and limitations of these approaches to structure identification. We suggest that they are complementary and can aid our understanding of the properties of the global ionosphere. We stress out importance of a consistent definition of large-scale ionospheric structures. |
first_indexed | 2024-04-13T07:52:11Z |
format | Article |
id | doaj.art-381cc3f81adc497f89f9f1c053ceb9cf |
institution | Directory Open Access Journal |
issn | 2296-987X |
language | English |
last_indexed | 2024-04-13T07:52:11Z |
publishDate | 2022-04-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Astronomy and Space Sciences |
spelling | doaj.art-381cc3f81adc497f89f9f1c053ceb9cf2022-12-22T02:55:30ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2022-04-01910.3389/fspas.2022.852222852222Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical AnalysesOlga VerkhoglyadovaXing MengJacob KosbergWe applied two different techniques to identify high-density structures in global maps of height-integrated electron density of the Earth’s ionosphere. We discuss benefits and limitations of these approaches to structure identification. We suggest that they are complementary and can aid our understanding of the properties of the global ionosphere. We stress out importance of a consistent definition of large-scale ionospheric structures.https://www.frontiersin.org/articles/10.3389/fspas.2022.852222/fullionospheremachine learningstatisticselectron densitygeomagnetic activity |
spellingShingle | Olga Verkhoglyadova Xing Meng Jacob Kosberg Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses Frontiers in Astronomy and Space Sciences ionosphere machine learning statistics electron density geomagnetic activity |
title | Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses |
title_full | Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses |
title_fullStr | Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses |
title_full_unstemmed | Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses |
title_short | Understanding Large-Scale Structure in Global Ionospheric Maps With Visual and Statistical Analyses |
title_sort | understanding large scale structure in global ionospheric maps with visual and statistical analyses |
topic | ionosphere machine learning statistics electron density geomagnetic activity |
url | https://www.frontiersin.org/articles/10.3389/fspas.2022.852222/full |
work_keys_str_mv | AT olgaverkhoglyadova understandinglargescalestructureinglobalionosphericmapswithvisualandstatisticalanalyses AT xingmeng understandinglargescalestructureinglobalionosphericmapswithvisualandstatisticalanalyses AT jacobkosberg understandinglargescalestructureinglobalionosphericmapswithvisualandstatisticalanalyses |