摘要
本研究主要关注Swarm卫星数据及CHAOS-6模型对岩石圈磁场的应用。重点考察该模型能否较好地模拟中国地区岩石圈磁场,同时检验高质量的卫星数据中是否还包含模型模拟部分以外的其他信息,特别是岩石圈磁场中的一些小尺度特征,这些信息有助于研究岩石圈磁场并提高模型的精度。基于Swarm卫星数据和CHAOS-6模型,将卫星数据沿轨道按纬度1^°为间隔网格化后,计算相邻网格的差值,即差分计算。对比不同轨道,不同时间段之间的轨道差分,同时还考虑模型中15-20阶磁场的长期变化,以研究岩石圈磁场中所包含的小尺度成分。结果显示CHAOS-6模型可以很好地模拟Swarm卫星数据,均方偏差在3nT左右,模型基本反映了地磁场的长期变化。此外,从数据上还发现了一个未被模拟的磁异常,该异常位于磁赤道附近,有可能是外源场影响的结果。对于岩石圈磁场的研究应更侧重于所建立的模型而非卫星数据本身。
We investigate using satellite geomagnetic data and their derived feld models to study the crustal field.We focus on China to understand whether field models completely explain the crustal feld of the regional extent and whether a high-quality satellite contains additional information,particularly on small scales,enhancing crustal field studies and improving model resolution.We use Swarm satellite data and the CHAOS-6 model and examine along-track one-degree differences in latitude bin averages of satellite data to seek additional small-scale structures.The results show that the CHAOS-6 model does a very good job of explaining the data.The mean square deviation is~3 nT.Moreover,the model broadly explains secular variation with certain misfts but not consistent between tracks.We report an anomalous unmodeled feature in the data.However,as this is located close to the magnetic equator,this may be attributed to an external field source.We conclude that crustal field studies should primarily focus on models and not data.
作者
姜乙
Richard Holme
蒋勇
Jiang Yi;Richard Holme;Jiang Yong(Institute of Space Weather,Nanjing University of Information Science and Technology,Nanjing,210044,China;School of Environmental Sciences,University of Liverpool,L693GP,UK;State Key Laboratory of Lunar and Planetary Sciences,Macao University of Science and Technology,Taipa 999078,Macao,China;Scotland Academy at WXU,Wuxi Taihu University,Wuxi 214064,China)
基金
funded by NERC grant NE/M012190/1, China Scholarship Council (No. 201708320317)
National Natural Science Foundation of China (Grant No. 41974073, Grant No. 41404053, Grant No. 41604134, Grant No. 41174165, Grant No. 41974073)
Special Project for Meteo-scientific Research in the Public Interest (Grant No. GYHY201306073-2)
Macao Foundation and the pre-research project on Civil Aerospace Technologies No. D020308 and D020303 funded by China’s National Space Administration
opening fund of State Key Laboratory of Lunar and Planetary Sciences (Macao University of Science and Technology) (Macao FDCT grant No. 119/2017/A3)
the Specialized Research Fund for State Key Laboratory of Space Weather, Graduate Research and Practice Innovation Program (KYCX17_0896),the Specialized Research Fund for State Key Laboratory of Space Weather
