Analysis of main magnetic field in Chinese mainland based on WMM2020 and IGRF13

WenQiang Yu; Min Liu; LiZhong Song; HouPu Li; DengHui Zhu

doi:10.1117/12.2627893

11 March 2022 Analysis of main magnetic field in Chinese mainland based on WMM2020 and IGRF13

WenQiang Yu, Min Liu, LiZhong Song, HouPu Li, DengHui Zhu

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 1216014 (2022) https://doi.org/10.1117/12.2627893
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

Using the latest world geomagnetic models WMM2020 and IGRF13, the spatial distribution characteristics of five geomagnetic elements such as the total magnetic field intensity F described by the two models are analyzed. Then, the annual variation rate of each element with an interval of one year is calculated and plotted for analysis. In this process, the differences between the two models in describing the main magnetic field in mainland China are analyzed. The results show that the two models can better describe the distribution characteristics of China's mainland.Total magnetic intensity F, horizontal component h, vertical component Z and magnetic inclination I are roughly distributed along the zonal direction in China, and the magnetic declination D is higher in the west and lower in the east around the northwest peak and northeast trough. The accuracy of the two models is close to each other, with similar distribution characteristics and slight difference in annual variation rate. The two models can only represent the approximate change of magnetic field to a certain extent, which cloud not meet the needs of practical application. Therefore, it is urgent for China to reconstruct high-precision regional model combined with long-term high-precision measured data.

Citation Download Citation

WenQiang Yu, Min Liu, LiZhong Song, HouPu Li, and DengHui Zhu "Analysis of main magnetic field in Chinese mainland based on WMM2020 and IGRF13", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 1216014 (11 March 2022); https://doi.org/10.1117/12.2627893

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KEYWORDS

Magnetism

Data modeling

Image processing

Error analysis

Spatial resolution

Visual process modeling

Visual analytics

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