[1]WANG Zhendong,WANG Can,YUAN Jiehao,et al.Analysis of Geomagnetic Secular Variation in China and Its Neighboring Regions[J].Journal of Seismological Research,2019,42(01):103-111.
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Analysis of Geomagnetic Secular Variation in China and Its Neighboring Regions
Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
42
Number of periods:
2019 01
Page number:
103-111
Column:
Public date:
2019-04-20
- Title:
- Analysis of Geomagnetic Secular Variation in China and Its Neighboring Regions
- CLC:
- P315.721
- DOI:
- -
- Abstract:
- Using the observation data(X,Y,Z components of geomagnetic field)of 4 China international geomagnetic exchange observatories and 10 geomagnetic observatories in China's neighboring regions during the period 2010.0—2016.0,and combining with the quietest and most disturbed data released by the World Data Center,we calculated the mean values at the midnight of every 10 days in the above observatories,which is fitted with cubic polynomial so as to obtain the analysis of geomagnetic secular variation and annual variation of X,Y,Z components of geomagnetic field. At the same time,using the CHAOS-6 model and the IGRF-12 model,we calculated the geomagnetic secular variation of the F component during the period 2010.0—2016.0,and obtained the difference between the calculated values of the CHAOS-6 and IGRF-12 models and the observed values of observatories respectively. The result shows that the variation trends of X,Y,Z components of observatories are basically consistent in the same area,and the average annual variability of the Z component is larger than that of the X,Y components. The absolute values of the difference between geomagnetic secular variation of the F component described by the CHAOS-6 and IGRF-12 models and the observed values of observatories are 4.8～253.7 nT and 0.9～420.0 nT,respectively. The main reason for the above error is that the CHAOS-6 model and the IGRF-12 model describ the global geomagnetic field,while the geomagnetic field and its secular variations have significant regional and local characteristics.
- References:
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Last Update:
2019-04-25