An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018
The layer of the Earth’s atmosphere known as the ionosphere presents a significant obstacle to global satellite navigation systems (GNSS) due to its ability to introduce errors. To address this challenge, various navigation systems have introduced new signals designed to minimize the errors caused b...
| 出版年: | Environmental Sciences Proceedings |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2023-11-01
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| 主題: | |
| オンライン・アクセス: | https://www.mdpi.com/2673-4931/27/1/18 |
| _version_ | 1850102584807784448 |
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| author | Charbeth Lopez Urias Karan Nayak Guadalupe Esteban Vazquez Becerra Rebeca Lopez Montes |
| author_facet | Charbeth Lopez Urias Karan Nayak Guadalupe Esteban Vazquez Becerra Rebeca Lopez Montes |
| author_sort | Charbeth Lopez Urias |
| collection | DOAJ |
| container_title | Environmental Sciences Proceedings |
| description | The layer of the Earth’s atmosphere known as the ionosphere presents a significant obstacle to global satellite navigation systems (GNSS) due to its ability to introduce errors. To address this challenge, various navigation systems have introduced new signals designed to minimize the errors caused by the ionosphere. These signals not only aid in error reduction but also facilitate the examination of electron content behavior. This study focuses on the analysis of vTEC plots obtained from RINEX data collected at the INEG station in Aguascalientes, Mexico, from 2011 to 2018, with a particular emphasis on highly intense geomagnetic storms characterized by values below −100 nT. Our analysis of these plots employed the Probability Density Function (PDF), which allows for the graphical representation of data distribution. This distribution is then examined in conjunction with the station’s Total Electron Content (TEC) values and the Dst index during the corresponding geomagnetic storm events. The findings establish the correlation between each of these parameters during such events. |
| format | Article |
| id | doaj-art-8fc8dff9de4f48a8bfd69bb698ef9aa8 |
| institution | Directory of Open Access Journals |
| issn | 2673-4931 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-8fc8dff9de4f48a8bfd69bb698ef9aa82025-08-20T00:03:51ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-11-012711810.3390/ecas2023-16344An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018Charbeth Lopez Urias0Karan Nayak1Guadalupe Esteban Vazquez Becerra2Rebeca Lopez Montes3Faculty of Earth and Space Sciences, Autonomous University of Sinaloa, Culiacán 80040, MexicoFaculty of Earth and Space Sciences, Autonomous University of Sinaloa, Culiacán 80040, MexicoFaculty of Earth and Space Sciences, Autonomous University of Sinaloa, Culiacán 80040, MexicoDepartment of Applied Geophysics, Center for Scientific Research and Higher Education of Ensenada, Tijuana 22860, MexicoThe layer of the Earth’s atmosphere known as the ionosphere presents a significant obstacle to global satellite navigation systems (GNSS) due to its ability to introduce errors. To address this challenge, various navigation systems have introduced new signals designed to minimize the errors caused by the ionosphere. These signals not only aid in error reduction but also facilitate the examination of electron content behavior. This study focuses on the analysis of vTEC plots obtained from RINEX data collected at the INEG station in Aguascalientes, Mexico, from 2011 to 2018, with a particular emphasis on highly intense geomagnetic storms characterized by values below −100 nT. Our analysis of these plots employed the Probability Density Function (PDF), which allows for the graphical representation of data distribution. This distribution is then examined in conjunction with the station’s Total Electron Content (TEC) values and the Dst index during the corresponding geomagnetic storm events. The findings establish the correlation between each of these parameters during such events.https://www.mdpi.com/2673-4931/27/1/18GNSSionosphereTECPDF |
| spellingShingle | Charbeth Lopez Urias Karan Nayak Guadalupe Esteban Vazquez Becerra Rebeca Lopez Montes An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 GNSS ionosphere TEC |
| title | An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 |
| title_full | An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 |
| title_fullStr | An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 |
| title_full_unstemmed | An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 |
| title_short | An Analysis of Ionospheric Conditions during Intense Geomagnetic Storms (Dst ≤ −100 nt) in the Period 2011–2018 |
| title_sort | analysis of ionospheric conditions during intense geomagnetic storms dst ≤ 100 nt in the period 2011 2018 |
| topic | GNSS ionosphere TEC |
| url | https://www.mdpi.com/2673-4931/27/1/18 |
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