An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data
Abstract The intense plasma irregularities within the ionospheric sporadic E (Es) layers at 90–130 km altitude have a significant impact on radio communications and navigation systems. As a result, the modeling of the Es layer is very important for the accuracy, reliability, and further applications...
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| Format: | Article |
| Language: | English |
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Wiley
2022-08-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2022SW003113 |
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| author | Bingkun Yu Xianghui Xue Christopher J. Scott Xinan Yue Xiankang Dou |
| author_facet | Bingkun Yu Xianghui Xue Christopher J. Scott Xinan Yue Xiankang Dou |
| author_sort | Bingkun Yu |
| collection | DOAJ |
| description | Abstract The intense plasma irregularities within the ionospheric sporadic E (Es) layers at 90–130 km altitude have a significant impact on radio communications and navigation systems. As a result, the modeling of the Es layer is very important for the accuracy, reliability, and further applications of modern real‐time global navigation satellite system precise point positioning. In this study, we have constructed an empirical model of the Es layer using the multivariable nonlinear least‐squares‐fitting method, based on the S4max from Constellation Observing System for Meteorology, Ionosphere, and Climate satellite radio occultation measurements in the period 2006–2014. The model can describe the climatology of the intensity of Es layers as a function of altitude, latitude, longitude, universal time, and day of year. To validate the model, the outputs of the model were compared with ionosonde data. The correlation coefficients of the hourly foEs and the daily maximum foEs between the ground‐based ionosonde observations and model outputs at Beijing are 0.52 and 0.68, respectively. The model can give a global climatology of the intensity of Es layers and the seasonal variations of Es layers, although the Es layers during the summer are highly variable and difficult to accurately predict. The outputs of the model can be implemented in comprehensive models for a description of the climatology of Es layers and provide relatively accurate information about the global variation of Es layers. |
| format | Article |
| id | doaj-art-620ffd99603840a5901526f45050d437 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2022-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-620ffd99603840a5901526f45050d4372025-01-14T16:27:07ZengWileySpace Weather1542-73902022-08-01208n/an/a10.1029/2022SW003113An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation DataBingkun Yu0Xianghui Xue1Christopher J. Scott2Xinan Yue3Xiankang Dou4Deep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China Hefei ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China Hefei ChinaDepartment of Meteorology University of Reading Berkshire UKKey Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing ChinaDeep Space Exploration Laboratory/School of Earth and Space Sciences, University of Science and Technology of China Hefei ChinaAbstract The intense plasma irregularities within the ionospheric sporadic E (Es) layers at 90–130 km altitude have a significant impact on radio communications and navigation systems. As a result, the modeling of the Es layer is very important for the accuracy, reliability, and further applications of modern real‐time global navigation satellite system precise point positioning. In this study, we have constructed an empirical model of the Es layer using the multivariable nonlinear least‐squares‐fitting method, based on the S4max from Constellation Observing System for Meteorology, Ionosphere, and Climate satellite radio occultation measurements in the period 2006–2014. The model can describe the climatology of the intensity of Es layers as a function of altitude, latitude, longitude, universal time, and day of year. To validate the model, the outputs of the model were compared with ionosonde data. The correlation coefficients of the hourly foEs and the daily maximum foEs between the ground‐based ionosonde observations and model outputs at Beijing are 0.52 and 0.68, respectively. The model can give a global climatology of the intensity of Es layers and the seasonal variations of Es layers, although the Es layers during the summer are highly variable and difficult to accurately predict. The outputs of the model can be implemented in comprehensive models for a description of the climatology of Es layers and provide relatively accurate information about the global variation of Es layers.https://doi.org/10.1029/2022SW003113sporadic Eempirical modelradio occultationmetallic ionsionosphereprediction |
| spellingShingle | Bingkun Yu Xianghui Xue Christopher J. Scott Xinan Yue Xiankang Dou An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data Space Weather sporadic E empirical model radio occultation metallic ions ionosphere prediction |
| title | An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data |
| title_full | An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data |
| title_fullStr | An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data |
| title_full_unstemmed | An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data |
| title_short | An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data |
| title_sort | empirical model of the ionospheric sporadic e layer based on gnss radio occultation data |
| topic | sporadic E empirical model radio occultation metallic ions ionosphere prediction |
| url | https://doi.org/10.1029/2022SW003113 |
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