A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data

By combining data from the Challenging Minisatellite Payload (CHAMP), Swarm-A, and newest Macau Science Satellite-1 (MSS-1) missions, we constructed a lithospheric magnetic field model up to spherical harmonic degree N = 100. To isolate the lithospheric magnetic field signals, we utilized the latest...

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Main Authors: JiaXuan Zhang, Yan Feng, Pan Zhang, YuXuan Lin, XinWu Li, Ya Huang
Format: Article
Language:English
Published: Science Press 2025-05-01
Series:Earth and Planetary Physics
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Online Access:http://www.eppcgs.org/article/doi/10.26464/epp2025058?pageType=en
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author JiaXuan Zhang
Yan Feng
Pan Zhang
YuXuan Lin
XinWu Li
Ya Huang
author_facet JiaXuan Zhang
Yan Feng
Pan Zhang
YuXuan Lin
XinWu Li
Ya Huang
author_sort JiaXuan Zhang
collection DOAJ
description By combining data from the Challenging Minisatellite Payload (CHAMP), Swarm-A, and newest Macau Science Satellite-1 (MSS-1) missions, we constructed a lithospheric magnetic field model up to spherical harmonic degree N = 100. To isolate the lithospheric magnetic field signals, we utilized the latest CHAOS-8 (CHAMP, Ørsted, and SAC-C 8) model and MGFM (Multisource Geomagnetic Field Model) to remove nonlithospheric sources, including the core field, magnetospheric field, ocean tidal field, and ocean circulation field. Subsequently, orbit-by-orbit processing was applied to both scalar and vector data, such as spherical harmonic high-pass filtering, singular spectrum analysis, and line leveling, to suppress noise and residual signals along the satellite tracks. With an orbital inclination of only 41°, MSS-1 effectively captures fine-scale lithospheric magnetic field signals in mid- to low-latitude regions. Its data exhibit a root mean square error of only 0.77 nT relative to the final model, confirming the high quality and utility of lithospheric field modeling. The resulting model exhibits excellent consistency with the MF7 (Magnetic Field Model 7), maintaining a high correlation up to N = 90 and still exceeding 0.65 at N = 100. These results demonstrate the reliability and value of MSS-1 data in global lithospheric magnetic field modeling.
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spelling doaj-art-3124f3d68c51471ba36287bf1528e04d2025-08-20T02:28:47ZengScience PressEarth and Planetary Physics2096-39552025-05-019366767610.26464/epp2025058S22588-zhangjiaxuan-FA 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite dataJiaXuan Zhang0Yan Feng1Pan Zhang2YuXuan Lin3XinWu Li4Ya Huang5Institute of Space Weather, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaInstitute of Space Weather, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaHubei Subsurface Multi-scale Imaging Key Laboratory, School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, ChinaInstitute of Space Weather, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaInstitute of Space Weather, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaState Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing 100190, ChinaBy combining data from the Challenging Minisatellite Payload (CHAMP), Swarm-A, and newest Macau Science Satellite-1 (MSS-1) missions, we constructed a lithospheric magnetic field model up to spherical harmonic degree N = 100. To isolate the lithospheric magnetic field signals, we utilized the latest CHAOS-8 (CHAMP, Ørsted, and SAC-C 8) model and MGFM (Multisource Geomagnetic Field Model) to remove nonlithospheric sources, including the core field, magnetospheric field, ocean tidal field, and ocean circulation field. Subsequently, orbit-by-orbit processing was applied to both scalar and vector data, such as spherical harmonic high-pass filtering, singular spectrum analysis, and line leveling, to suppress noise and residual signals along the satellite tracks. With an orbital inclination of only 41°, MSS-1 effectively captures fine-scale lithospheric magnetic field signals in mid- to low-latitude regions. Its data exhibit a root mean square error of only 0.77 nT relative to the final model, confirming the high quality and utility of lithospheric field modeling. The resulting model exhibits excellent consistency with the MF7 (Magnetic Field Model 7), maintaining a high correlation up to N = 90 and still exceeding 0.65 at N = 100. These results demonstrate the reliability and value of MSS-1 data in global lithospheric magnetic field modeling.http://www.eppcgs.org/article/doi/10.26464/epp2025058?pageType=enlithospheric magnetic fieldmacau science satellite-1 (mss-1)line levelingmagnetic field model 7 (mf7)singular spectrum analysis
spellingShingle JiaXuan Zhang
Yan Feng
Pan Zhang
YuXuan Lin
XinWu Li
Ya Huang
A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
Earth and Planetary Physics
lithospheric magnetic field
macau science satellite-1 (mss-1)
line leveling
magnetic field model 7 (mf7)
singular spectrum analysis
title A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
title_full A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
title_fullStr A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
title_full_unstemmed A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
title_short A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data
title_sort 100 degree lithospheric magnetic field model constructed using mss 1 swarm a and champ satellite data
topic lithospheric magnetic field
macau science satellite-1 (mss-1)
line leveling
magnetic field model 7 (mf7)
singular spectrum analysis
url http://www.eppcgs.org/article/doi/10.26464/epp2025058?pageType=en
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