The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite
Abstract Using magnetic field data from the China Seismo-Electromagnetic Satellite (CSES) mission, we derive a global geomagnetic field model, which we call the CSES Global Geomagnetic Field Model (CGGM). This model describes the Earth’s magnetic main field and its linear temporal evolution over the...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-02-01
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| Series: | Earth, Planets and Space |
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| Online Access: | https://doi.org/10.1186/s40623-020-01316-w |
| _version_ | 1819178126029094912 |
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| author | Yanyan Yang Gauthier Hulot Pierre Vigneron Xuhui Shen Zeren Zhima Bin Zhou Werner Magnes Nils Olsen Lars Tøffner-Clausen Jianpin Huang Xuemin Zhang Shigeng Yuan Lanwei Wang Bingjun Cheng Andreas Pollinger Roland Lammegger Jianpin Dai Jun Lin Feng Guo Jingbo Yu Jie Wang Yingyan Wu Xudong Zhao Xinghong Zhu |
| author_facet | Yanyan Yang Gauthier Hulot Pierre Vigneron Xuhui Shen Zeren Zhima Bin Zhou Werner Magnes Nils Olsen Lars Tøffner-Clausen Jianpin Huang Xuemin Zhang Shigeng Yuan Lanwei Wang Bingjun Cheng Andreas Pollinger Roland Lammegger Jianpin Dai Jun Lin Feng Guo Jingbo Yu Jie Wang Yingyan Wu Xudong Zhao Xinghong Zhu |
| author_sort | Yanyan Yang |
| collection | DOAJ |
| description | Abstract Using magnetic field data from the China Seismo-Electromagnetic Satellite (CSES) mission, we derive a global geomagnetic field model, which we call the CSES Global Geomagnetic Field Model (CGGM). This model describes the Earth’s magnetic main field and its linear temporal evolution over the time period between March 2018 and September 2019. As the CSES mission was not originally designed for main field modelling, we carefully assess the ability of the CSES orbits and data to provide relevant data for such a purpose. A number of issues are identified, and an appropriate modelling approach is found to mitigate these. The resulting CGGM model appears to be of high enough quality, and it is next used as a parent model to produce a main field model extrapolated to epoch 2020.0, which was eventually submitted on October 1, 2019 as one of the IGRF-13 2020 candidate models. This CGGM candidate model, the first ever produced by a Chinese-led team, is also the only one relying on a data set completely independent from that used by all other candidate models. A successful validation of this candidate model is performed by comparison with the final (now published) IGRF-13 2020 model and all other candidate models. Comparisons of the secular variation predicted by the CGGM parent model with the final IGRF-13 2020–2025 predictive secular variation also reveal a remarkable agreement. This shows that, despite their current limitations, CSES magnetic data can already be used to produce useful IGRF 2020 and 2020–2025 secular variation candidate models to contribute to the official IGRF-13 2020 and predictive secular variation models for the coming 2020–2025 time period. These very encouraging results show that additional efforts to improve the CSES magnetic data quality could make these data very useful for long-term monitoring of the main field and possibly other magnetic field sources, in complement to the data provided by missions such as the ESA Swarm mission. |
| first_indexed | 2024-12-22T21:37:35Z |
| format | Article |
| id | doaj.art-a54aa68da3364d58ab59bedf385b65a3 |
| institution | Directory Open Access Journal |
| issn | 1880-5981 |
| language | English |
| last_indexed | 2024-12-22T21:37:35Z |
| publishDate | 2021-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Earth, Planets and Space |
| spelling | doaj.art-a54aa68da3364d58ab59bedf385b65a32022-12-21T18:11:41ZengSpringerOpenEarth, Planets and Space1880-59812021-02-0173112110.1186/s40623-020-01316-wThe CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic SatelliteYanyan Yang0Gauthier Hulot1Pierre Vigneron2Xuhui Shen3Zeren Zhima4Bin Zhou5Werner Magnes6Nils Olsen7Lars Tøffner-Clausen8Jianpin Huang9Xuemin Zhang10Shigeng Yuan11Lanwei Wang12Bingjun Cheng13Andreas Pollinger14Roland Lammegger15Jianpin Dai16Jun Lin17Feng Guo18Jingbo Yu19Jie Wang20Yingyan Wu21Xudong Zhao22Xinghong Zhu23National Institute of Natural Hazards, Ministry of Emergency Management of ChinaUniversité de Paris, Institut de Physique du Globe de Paris, CNRSUniversité de Paris, Institut de Physique du Globe de Paris, CNRSNational Institute of Natural Hazards, Ministry of Emergency Management of ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of ChinaNational Space Science Center, Chinese Academy of SciencesSpace Research Institute, Austrian Academy of SciencesDTU Space, National Space Institute, Technical University of DenmarkDTU Space, National Space Institute, Technical University of DenmarkNational Institute of Natural Hazards, Ministry of Emergency Management of ChinaInstitute of Earthquake Forecasting, China Earthquake AdministrationDFH Satellite Co. Ltd.National Institute of Natural Hazards, Ministry of Emergency Management of ChinaNational Space Science Center, Chinese Academy of SciencesSpace Research Institute, Austrian Academy of SciencesInstitute of Experimental Physics, Graz University of TechnologyBeijing Special Engineering Design and Research InstituteChina Centre for Resources Satellite Data and ApplicationNational Institute of Natural Hazards, Ministry of Emergency Management of ChinaHebei GEO UniversityNational Institute of Natural Hazards, Ministry of Emergency Management of ChinaInstitute of Earthquake Forecasting, China Earthquake AdministrationInstitute of Geophysics, China Earthquake AdministrationDFH Satellite Co. Ltd.Abstract Using magnetic field data from the China Seismo-Electromagnetic Satellite (CSES) mission, we derive a global geomagnetic field model, which we call the CSES Global Geomagnetic Field Model (CGGM). This model describes the Earth’s magnetic main field and its linear temporal evolution over the time period between March 2018 and September 2019. As the CSES mission was not originally designed for main field modelling, we carefully assess the ability of the CSES orbits and data to provide relevant data for such a purpose. A number of issues are identified, and an appropriate modelling approach is found to mitigate these. The resulting CGGM model appears to be of high enough quality, and it is next used as a parent model to produce a main field model extrapolated to epoch 2020.0, which was eventually submitted on October 1, 2019 as one of the IGRF-13 2020 candidate models. This CGGM candidate model, the first ever produced by a Chinese-led team, is also the only one relying on a data set completely independent from that used by all other candidate models. A successful validation of this candidate model is performed by comparison with the final (now published) IGRF-13 2020 model and all other candidate models. Comparisons of the secular variation predicted by the CGGM parent model with the final IGRF-13 2020–2025 predictive secular variation also reveal a remarkable agreement. This shows that, despite their current limitations, CSES magnetic data can already be used to produce useful IGRF 2020 and 2020–2025 secular variation candidate models to contribute to the official IGRF-13 2020 and predictive secular variation models for the coming 2020–2025 time period. These very encouraging results show that additional efforts to improve the CSES magnetic data quality could make these data very useful for long-term monitoring of the main field and possibly other magnetic field sources, in complement to the data provided by missions such as the ESA Swarm mission.https://doi.org/10.1186/s40623-020-01316-wCSESCGGMIGRFGeomagnetismSpace magnetometry |
| spellingShingle | Yanyan Yang Gauthier Hulot Pierre Vigneron Xuhui Shen Zeren Zhima Bin Zhou Werner Magnes Nils Olsen Lars Tøffner-Clausen Jianpin Huang Xuemin Zhang Shigeng Yuan Lanwei Wang Bingjun Cheng Andreas Pollinger Roland Lammegger Jianpin Dai Jun Lin Feng Guo Jingbo Yu Jie Wang Yingyan Wu Xudong Zhao Xinghong Zhu The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite Earth, Planets and Space CSES CGGM IGRF Geomagnetism Space magnetometry |
| title | The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite |
| title_full | The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite |
| title_fullStr | The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite |
| title_full_unstemmed | The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite |
| title_short | The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite |
| title_sort | cses global geomagnetic field model cggm an igrf type global geomagnetic field model based on data from the china seismo electromagnetic satellite |
| topic | CSES CGGM IGRF Geomagnetism Space magnetometry |
| url | https://doi.org/10.1186/s40623-020-01316-w |
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