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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Bibliographic Details
Main Authors: Olga Verkhoglyadova, Xing Meng, Jacob Kosberg
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
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.
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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