An Ionospheric Climate Index Based on GNSS
Abstract The ionospheric total electron content (TEC) is a significant parameter for scientific studies of the ionosphere and space weather. Ground‐based Global Navigation Satellite System (GNSS) station network provides an opportunity for modeling the ionospheric TEC with high accuracy. Based on gl...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2020SW002596 |
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| _version_ | 1841536528517431296 |
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| author | Cheng Wang Yuting Li Jicang Wu Lei Fan Zhipeng Wang Chen Zhou Chuang Shi |
| author_facet | Cheng Wang Yuting Li Jicang Wu Lei Fan Zhipeng Wang Chen Zhou Chuang Shi |
| author_sort | Cheng Wang |
| collection | DOAJ |
| description | Abstract The ionospheric total electron content (TEC) is a significant parameter for scientific studies of the ionosphere and space weather. Ground‐based Global Navigation Satellite System (GNSS) station network provides an opportunity for modeling the ionospheric TEC with high accuracy. Based on global ionospheric TEC maps, by using data from the International GNSS Service (IGS) stations for 21 years (from 1998 to 2018), we establish an ionospheric climate index (ICI) for representing the general state of the ionosphere. In addition, we build a multiple linear regression model for fitting ICI using the SSN, F10.7, Ap, and Dst indices and upper atmospheric wind field. We quantitatively analyze the contribution of these factors to ICI time series. ICI during the past six solar cycles, namely, from 1958 to 2018, are presented, which are assigned as the adjectives (cold, cool, mild, warm, hot, and sizzling) for ionospheric climatology studies. This new index is a very promising representative of day‐to‐day variations of middle‐ and low‐latitude ionosphere. |
| format | Article |
| id | doaj-art-f3101513d82d4cb1907547e5433dcab8 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-f3101513d82d4cb1907547e5433dcab82025-01-14T16:27:00ZengWileySpace Weather1542-73902021-01-01191n/an/a10.1029/2020SW002596An Ionospheric Climate Index Based on GNSSCheng Wang0Yuting Li1Jicang Wu2Lei Fan3Zhipeng Wang4Chen Zhou5Chuang Shi6Research Institute for Frontier Science Beihang University Beijing ChinaCollege of Surveying and Geo‐Informatics Tongji University Shanghai ChinaCollege of Surveying and Geo‐Informatics Tongji University Shanghai ChinaSchool of Electronic Information Engineering Beihang University Beijing ChinaSchool of Electronic Information Engineering Beihang University Beijing ChinaSchool of Electronic Information Wuhan University Wuhan ChinaSchool of Electronic Information Engineering Beihang University Beijing ChinaAbstract The ionospheric total electron content (TEC) is a significant parameter for scientific studies of the ionosphere and space weather. Ground‐based Global Navigation Satellite System (GNSS) station network provides an opportunity for modeling the ionospheric TEC with high accuracy. Based on global ionospheric TEC maps, by using data from the International GNSS Service (IGS) stations for 21 years (from 1998 to 2018), we establish an ionospheric climate index (ICI) for representing the general state of the ionosphere. In addition, we build a multiple linear regression model for fitting ICI using the SSN, F10.7, Ap, and Dst indices and upper atmospheric wind field. We quantitatively analyze the contribution of these factors to ICI time series. ICI during the past six solar cycles, namely, from 1958 to 2018, are presented, which are assigned as the adjectives (cold, cool, mild, warm, hot, and sizzling) for ionospheric climatology studies. This new index is a very promising representative of day‐to‐day variations of middle‐ and low‐latitude ionosphere.https://doi.org/10.1029/2020SW002596 |
| spellingShingle | Cheng Wang Yuting Li Jicang Wu Lei Fan Zhipeng Wang Chen Zhou Chuang Shi An Ionospheric Climate Index Based on GNSS Space Weather |
| title | An Ionospheric Climate Index Based on GNSS |
| title_full | An Ionospheric Climate Index Based on GNSS |
| title_fullStr | An Ionospheric Climate Index Based on GNSS |
| title_full_unstemmed | An Ionospheric Climate Index Based on GNSS |
| title_short | An Ionospheric Climate Index Based on GNSS |
| title_sort | ionospheric climate index based on gnss |
| url | https://doi.org/10.1029/2020SW002596 |
| work_keys_str_mv | AT chengwang anionosphericclimateindexbasedongnss AT yutingli anionosphericclimateindexbasedongnss AT jicangwu anionosphericclimateindexbasedongnss AT leifan anionosphericclimateindexbasedongnss AT zhipengwang anionosphericclimateindexbasedongnss AT chenzhou anionosphericclimateindexbasedongnss AT chuangshi anionosphericclimateindexbasedongnss AT chengwang ionosphericclimateindexbasedongnss AT yutingli ionosphericclimateindexbasedongnss AT jicangwu ionosphericclimateindexbasedongnss AT leifan ionosphericclimateindexbasedongnss AT zhipengwang ionosphericclimateindexbasedongnss AT chenzhou ionosphericclimateindexbasedongnss AT chuangshi ionosphericclimateindexbasedongnss |