A statistical spatial power spectrum of the Earth's lithospheric magnetic field

被引:25
作者
Thebault, E. [1 ]
Vervelidou, F. [2 ]
机构
[1] Univ Nantes, UMR CNRS 6112, Lab Planetol & Geodynam, UMR 6112, F-44035 Nantes, France
[2] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany
关键词
Electromagnetic theory; Magnetic anomalies: modelling and interpretation; Satellite magnetics; GEOMAGNETIC-FIELD; SATELLITE; SURFACE; MODELS; ANOMALIES; FLOW; MAP;
D O I
10.1093/gji/ggu463
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The magnetic field of the Earth's lithosphere arises from rock magnetization contrasts that were shaped over geological times. The field can be described mathematically in spherical harmonics or with distributions of magnetization. We exploit this dual representation and assume that the lithospheric field is induced by spatially varying susceptibility values within a shell of constant thickness. By introducing a statistical assumption about the power spectrum of the susceptibility, we then derive a statistical expression for the spatial power spectrum of the crustal magnetic field for the spatial scales ranging from 60 to 2500 km. This expression depends on the mean induced magnetization, the thickness of the shell, and a power law exponent for the power spectrum of the susceptibility. We test the relevance of this form with a misfit analysis to the observational NGDC-720 lithospheric magnetic field model power spectrum. This allows us to estimate a mean global apparent induced magnetization value between 0.3 and 0.6 A m(-1), a mean magnetic crustal thickness value between 23 and 30 km, and a root mean square for the field value between 190 and 205 nT at 95 per cent. These estimates are in good agreement with independent models of the crustal magnetization and of the seismic crustal thickness. We carry out the same analysis in the continental and oceanic domains separately. We complement the misfit analyses with a Kolmogorov-Smirnov goodness-of-fit test and we conclude that the observed power spectrum can be each time a sample of the statistical one.
引用
收藏
页码:605 / 620
页数:16
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