The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms
Abstract In our previous study (Li et al., 2017, https://doi.org/10.1007/s11430-016-9052-1), we derived the satellite energy‐decay with a 20‐min resolution based on the Precise Orbit Determination (POD) data, using a proximate analytic approach to represent the time variation gravitational potential...
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2021-04-01
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Online Access: | https://doi.org/10.1029/2020SW002664 |
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author | Ruoxi Li Jiuhou Lei |
author_facet | Ruoxi Li Jiuhou Lei |
author_sort | Ruoxi Li |
collection | DOAJ |
description | Abstract In our previous study (Li et al., 2017, https://doi.org/10.1007/s11430-016-9052-1), we derived the satellite energy‐decay with a 20‐min resolution based on the Precise Orbit Determination (POD) data, using a proximate analytic approach to represent the time variation gravitational potential. In this follow‐up study, we improved the previous approach and calculated the POD‐based energy‐decays by using a numerical integration approach. Based on the precise energy‐decays, the orbital decays and decay rates with higher accuracy and resolution were further derived. The relative deviations of the orbital decays are generally less than 10% with respect to the accelerometer‐reference. The satellite orbital decays and decay rates derived from this approach were used to study the effects of geomagnetic activities and background density on the orbital changes. Our results show that, during the severe November 2003 storm, the storm‐induced orbital decay rate increased by a factor of 8 with respect to the quiet‐time reference. This POD‐based integration approach was also applied to study the orbital changes of multiple satellites at different altitudes during the September 2017 moderate storm. It is found that the storm‐induced orbital decay rates of Swarm‐B, Swarm‐A, and Gravity Recovery and Climate Experiment satellites increased by 100%–150% depending on their altitudes. Overall, the results suggest that our integration approach has better performance than the previous approach in deriving the orbital decay rate at solar minimum or at high altitude when the atmospheric density is relatively low. |
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institution | Kabale University |
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language | English |
publishDate | 2021-04-01 |
publisher | Wiley |
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series | Space Weather |
spelling | doaj-art-1ead2829bd9740b5a29993c42274f4032025-01-14T16:31:28ZengWileySpace Weather1542-73902021-04-01194n/an/a10.1029/2020SW002664The Determination of Satellite Orbital Decay From POD Data During Geomagnetic StormsRuoxi Li0Jiuhou Lei1CAS Key Laboratory of Geospace Environment School of Earth and Space Sciences, University of Science and Technology of China Hefei ChinaCAS Key Laboratory of Geospace Environment School of Earth and Space Sciences, University of Science and Technology of China Hefei ChinaAbstract In our previous study (Li et al., 2017, https://doi.org/10.1007/s11430-016-9052-1), we derived the satellite energy‐decay with a 20‐min resolution based on the Precise Orbit Determination (POD) data, using a proximate analytic approach to represent the time variation gravitational potential. In this follow‐up study, we improved the previous approach and calculated the POD‐based energy‐decays by using a numerical integration approach. Based on the precise energy‐decays, the orbital decays and decay rates with higher accuracy and resolution were further derived. The relative deviations of the orbital decays are generally less than 10% with respect to the accelerometer‐reference. The satellite orbital decays and decay rates derived from this approach were used to study the effects of geomagnetic activities and background density on the orbital changes. Our results show that, during the severe November 2003 storm, the storm‐induced orbital decay rate increased by a factor of 8 with respect to the quiet‐time reference. This POD‐based integration approach was also applied to study the orbital changes of multiple satellites at different altitudes during the September 2017 moderate storm. It is found that the storm‐induced orbital decay rates of Swarm‐B, Swarm‐A, and Gravity Recovery and Climate Experiment satellites increased by 100%–150% depending on their altitudes. Overall, the results suggest that our integration approach has better performance than the previous approach in deriving the orbital decay rate at solar minimum or at high altitude when the atmospheric density is relatively low.https://doi.org/10.1029/2020SW002664atmospheric dragenergy balance methodgeomagnetic stormsatellite orbital decay ratethermospheric density |
spellingShingle | Ruoxi Li Jiuhou Lei The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms Space Weather atmospheric drag energy balance method geomagnetic storm satellite orbital decay rate thermospheric density |
title | The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms |
title_full | The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms |
title_fullStr | The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms |
title_full_unstemmed | The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms |
title_short | The Determination of Satellite Orbital Decay From POD Data During Geomagnetic Storms |
title_sort | determination of satellite orbital decay from pod data during geomagnetic storms |
topic | atmospheric drag energy balance method geomagnetic storm satellite orbital decay rate thermospheric density |
url | https://doi.org/10.1029/2020SW002664 |
work_keys_str_mv | AT ruoxili thedeterminationofsatelliteorbitaldecayfrompoddataduringgeomagneticstorms AT jiuhoulei thedeterminationofsatelliteorbitaldecayfrompoddataduringgeomagneticstorms AT ruoxili determinationofsatelliteorbitaldecayfrompoddataduringgeomagneticstorms AT jiuhoulei determinationofsatelliteorbitaldecayfrompoddataduringgeomagneticstorms |