Long-wavelength lithospheric magnetic field of China



Jiang, Yi, Holme, Richard, Xiong, Sheng-Qing, Jiang, Yong, Feng, Yan and Yang, Hai
(2021) Long-wavelength lithospheric magnetic field of China. Geophysical Journal International, 224 (3). pp. 1780-1792.

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Abstract

<jats:title>SUMMARY</jats:title> <jats:p>We present new regional models, denoted CLAS, of the Chinese lithospheric field, combining the long-wavelength information provided by satellite-derived models: CHAOS-6, MF7, LCS-1 and NGDC720, and an extremely high-quality compilation of 97 994 aeromagnetic survey data with 10 km × 10 km resolution for shorter wavelength. The models are estimated using a depleted basis of global spherical harmonic functions centred on China. CLAS models are determined include harmonic degrees up to 400. Although some accuracy of aeromagnetic data is lost in order to balance the consistent of two data sets, the results show that CLAS models have a high correlation with the satellite models at low-degree terms (degree correlation &amp;gt; 0.9) but with more power at high-degree terms, reflecting more features of the lithospheric field in continental China. Examples of improvement include Changbai mountains, Sichuan Basin and Qinghai–Tibet Plateau. CLAS models have good agreement (coherence &amp;gt; 0.9) with Chinese aeromagnetic data at wavelength down to about 100 km (corresponding to spherical harmonic degree n = 400), filling the usual gap between satellite models and aeromagnetic data. Comparison with aeromagnetic data filtered at 100 km gives good agreement (correlation &amp;gt; 0.95). The residuals between CLAS models and aeromagnetic data are still large (rms &amp;gt; 70 nT), but with most of misfits arising from shorter wavelength fields that the model cannot fit at degree up to 400; such misfit could be reduced by increasing the model degree. We provide a geological example of how the inclusion of satellite data can change the geological conclusions that can be drawn from the magnetic information. However, the two data sets are not completely consistent, future models should start from a reanalysis of the aeromagnetic data and its line levelling to ensure consistency with the satellite model.</jats:p>

Item Type: Article
Uncontrolled Keywords: Composition and structure of the continental crust, Magnetic anomalies: modelling and interpretation, Satellite magnetics, Inverse theory, Spatial analysis
Depositing User: Symplectic Admin
Date Deposited: 11 Feb 2021 10:58
Last Modified: 18 Jan 2023 23:00
DOI: 10.1093/gji/ggaa490
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3115493