Macau Scientific Satellite‐1 Initial Magnetic Field Model

Abstract Eight months of vector magnetic field measurements from the Macau Scientific Satellite‐1 (MSS‐1), supplemented by higher latitude field intensity measurements from the Swarm satellites, are used to derive an MSS‐1 Initial Field Model (MIFM). Robust root‐mean‐square misfits between MIFM and the three components of the MSS‐1 vector field data are found to be below 3.3 nT. MIFM agrees well with the CHAOS‐7 field model and we find even better agreement with an identically parameterized model derived only from Swarm data. MSS‐1 and Swarm vector data can moreover be fit simultaneously with only a small increase in misfit (by less than 0.2 nT). We show that both lithospheric anomalies and core surface field changes can be studied using MSS‐1 data. With its fast coverage of local times MSS‐1 is a valuable addition to the global geomagnetic observing system.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-11-24
DOI
https://doi.org/10.1029/2024gl112305
Citations
12
Primary Topic
Geomagnetism and Paleomagnetism Studies
Type
article
Field-Weighted Citation Impact
2.81

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article

Macau Scientific Satellite‐1 Initial Magnetic Field Model

Nils Olsen, Christopher C. Finlay, Lars Tøffner‐Clausen, Keke Zhang et al.
12 citations
Geophysical Research Letters
Geomagnetism and Paleomagnetism Studies
2.81
article

Macau Scientific Satellite‐1 Initial Magnetic Field Model

Nils Olsen, Christopher C. Finlay, Lars Tøffner‐Clausen, Keke Zhang, Yi Jiang, Qing Yan
article en
12 citations

Abstract

Abstract Eight months of vector magnetic field measurements from the Macau Scientific Satellite‐1 (MSS‐1), supplemented by higher latitude field intensity measurements from the Swarm satellites, are used to derive an MSS‐1 Initial Field Model (MIFM). Robust root‐mean‐square misfits between MIFM and the three components of the MSS‐1 vector field data are found to be below 3.3 nT. MIFM agrees well with the CHAOS‐7 field model and we find even better agreement with an identically parameterized model derived only from Swarm data. MSS‐1 and Swarm vector data can moreover be fit simultaneously with only a small increase in misfit (by less than 0.2 nT). We show that both lithospheric anomalies and core surface field changes can be studied using MSS‐1 data. With its fast coverage of local times MSS‐1 is a valuable addition to the global geomagnetic observing system.

Geophysical Research LettersVol. 51(22)
Macau University of Science and Technology (MO), Zhuhai Institute of Advanced Technology (CN), Technical University of Denmark (DK)
China National Space Administration, National Natural Science Foundation of China, Nuclear Safety and Security Commission
Openalex Percentile: Top 9%
Geomagnetism and Paleomagnetism Studies
2.81
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