Initial scalar lithospheric magnetic anomaly map of China and surrounding regions derived from CSES satellite data

Jie Wang, Xuhui Shen*, Yanyan Yang , Zeren Zhima, Gauthier Hulot, Nils Olsen, Bin Zhou, Werner Magnes , Angelo De Santis , JianPing Huang, Feng Guo, WenLong Liu, JingBo Yo

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The China Seismo-Electromagnetic Satellite (CSES), China’s first satellite to measure geophysical fields with scientific goals in both space and solid earth physics, was launched successfully in February 2018. It carries high-precision magnetometers to measure the geomagnetic field. In this study, the CSES magnetic data were used to extract the signal of the lithospheric magnetic field caused by magnetized rocks in the crust and uppermost mantle. First, an along-track analysis of the CSES magnetic data was undertaken near the Bangui magnetic anomaly in central Africa and the Tarim magnetic anomaly in China, demonstrating that the CSES magnetic data are indeed sensitive to the lithospheric magnetic anomaly field. Then a lithospheric magnetic anomaly map over China and surrounding regions was derived. This map is consistent with the lithospheric part of the CHAOS-7 model. In particular, it clearly reveals four major magnetic anomalies containing long-wavelength signals at the altitude of low-earth-orbiting satellites. Three magnetic highs are located over the Tarim, Sichuan and Songliao basin, the origins of which could be related to large-scale tectonic-magmatic activities during geological history. A prominent magnetic low is otherwise found in the southern Himalayan-Tibetan plateau, possibly caused by the shallow Curie depth in this region. To further improve the precision of the lithospheric magnetic field model, more detailed data processing and multi-source data merging are needed.
    Original languageEnglish
    JournalScience China Technological Sciences
    Volume64
    Issue number5
    Pages (from-to)1118-1126
    ISSN1674-7321
    DOIs
    Publication statusPublished - 2021

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