NH005-03
The CSES Global Geomagnetic Field Model (CGGM): An IGRF type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite

Monday, 7 December 2020: 17:45
Virtual
Yanyan Yang1, Gauthier Hulot2, Pierre Vigneron3, Xuhui Shen1, Zhima Zeren1, Bin Zhou4, Werner Magnes5, Nils Olsen6, Lars Tøffner-clausen7, Jianping Huang1, Xuemin Zhang8, Shigeng Yuan9, Lanwei Wang1, Bingjun Cheng4, Andreas Pollinger10, Roland Lammegger11, Jianpin Dai12, Jun Lin13, Feng Guo1, Jingbo Yu14, Jie Wang1, Yingyan Wu15, Xudong Zhao16 and Xinghong Zhu9, (1)National Institute of Natural Hazards，Ministry of Emergency Management of China, Beijing, China, (2)IPGP, Paris, France, (3)Université de Paris, Institut de physique du globe de Paris, CNRS, Paris, France, (4)National Space Science Center, Chinese Academy of Sciences, Beijing, China, (5)Austrian Academy of Sciences, Space Research Institute, Graz, Austria, (6)Technical University of Denmark - Space, Kongens Lyngby, Denmark, (7)DTU Space, Copenhagen, Denmark, (8)IES, CEA, Beijing, China, (9)DFH Satellite Co. Ltd., Beijing, China, (10)Space Research Institute, Austrian Academy of Sciences, Graz, Austria, (11)Institute of Experimental Physics, Graz University of Technology, Graz, Austria, (12)Beijing Special Engineering Design and research Institute, Beijing, China, (13)China Centre for Resources Satellite Data and Application, Beijing, China, (14)Hebei GEO University, Shijiazhuang, China, (15)IES Institute of Earthquake Science, China Earthquake Administration, Beijing, China, (16)Institute of Geophysics, China Earthquake Administration, Beijing, China
Recorded Presentation
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 assessed the ability of the CSES orbits and data to provide relevant data for such a purpose. A number of issues were identified, but an appropriate modelling approach could be found to mitigate these. The CGGM model appearing to be of high enough quality, it was 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 was 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 revealed a remarkable agreement. These comparisons reveal that despite their current limitations, CSES magnetic data can already be used to produce useful IGRF 2020 and 2020-2025 secular variation candidate CGGM IGRF 2020 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
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