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The CSES Global Geomagnetic Field Model (CGGM): An IGRF type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite

Authors :
Xudong Zhao
Pierre Vigneron
Xuemin Zhang
Andreas Pollinger
Jingbo Yu
Feng Guo
Jie Wang
Werner Magnes
Xinghong Zhu
Shigeng Yuan
Bin Zhou
Roland Lammegger
Jianpin Huang
Lars Tøffner-Clausen
Nils Olsen
Yingyan Wu
Gauthier Hulot
Yanyan Yang
Jianpin Dai
Lanwei Wang
Xuhui Shen
Bingjun Cheng
Jun Lin
Zeren Zhima
National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, 100085, China
Université de Paris, Institut de physique du globe de Paris, CNRS, F-75005 Paris, France
National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China
Space Research Institute, Austrian Academy of Sciences, Graz, 8042, Austria
DTU Space, National Space Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing, 100036, China
DFH Satellite Co. Ltd., Beijing, 100081, China
Institute of Earthquake Forecasting, China Earthquake Administration, Beijing, 100036
Institute of Experimental Physics, Graz University of Technology, Graz, 8010, Austria
Beijing Special Engineering Design and research Institute, Beijing, 100028, China
China Centre for Resources Satellite Data and Application, Beijing, 100094, China
Hebei GEO University, Shijiazhuang 050031, China
Institute of Geophysics, China Earthquake Administration, Beijing, 100081, China
Institut de Physique du Globe de Paris (IPGP)
Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)
Space Research Institute of Austrian Academy of Sciences (IWF)
Austrian Academy of Sciences (OeAW)
Graz University of Technology [Graz] (TU Graz)
Source :
EARTH PLANETS AND SPACE, EARTH PLANETS AND SPACE, In press, Yang, Y, Hulot, G, Vigneron, P, Shen, X, Zhima, Z, Zhou, B, Magnes, W, Olsen, N, Tøffner-Clausen, L, Huang, J, Zhang, X, Yuan, S, Wang, L, Cheng, B, Pollinger, A, Lammegger, R, Dai, J, Lin, J, Guo, F, Yu, J, Wang, J, Wu, Y, Zhao, X & Zhu, X 2021, ' 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, vol. 73, no. 1, 45 . https://doi.org/10.1186/s40623-020-01316-w, Earth Planets and Space, Earth Planets and Space, Springer/Terra Scientific Publishing Company, 2021, 73, pp.45. ⟨10.1186/s40623-020-01316-w⟩, Earth, Planets and Space, Vol 73, Iss 1, Pp 1-21 (2021)
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

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.

Details

Language :
English
ISSN :
13438832
Database :
OpenAIRE
Journal :
EARTH PLANETS AND SPACE, EARTH PLANETS AND SPACE, In press, Yang, Y, Hulot, G, Vigneron, P, Shen, X, Zhima, Z, Zhou, B, Magnes, W, Olsen, N, Tøffner-Clausen, L, Huang, J, Zhang, X, Yuan, S, Wang, L, Cheng, B, Pollinger, A, Lammegger, R, Dai, J, Lin, J, Guo, F, Yu, J, Wang, J, Wu, Y, Zhao, X & Zhu, X 2021, ' 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, vol. 73, no. 1, 45 . https://doi.org/10.1186/s40623-020-01316-w, Earth Planets and Space, Earth Planets and Space, Springer/Terra Scientific Publishing Company, 2021, 73, pp.45. ⟨10.1186/s40623-020-01316-w⟩, Earth, Planets and Space, Vol 73, Iss 1, Pp 1-21 (2021)
Accession number :
edsair.doi.dedup.....6c5de7b8fb3951c7d1d37f25031c5878