空间科学学报2017,Vol.37Issue(6):690-701,12.DOI:10.11728/cjss2017.06.690
磁鞘等离子体密度统计建模
Statistical Modeling Research on the Magnetosheath Plasma Density
摘要
Abstract
By using the simulation data of the ideal MHD LFM model,the model of the mean plasma density of the magnetosheath from 03:00UT to 07:00UT on November 14,2004 is established based on the Sliced Inverse Regression (SIR) and Local Polynomial Regression (LPR) method.The statistical relationship between the mean plasma density and the upstream solar wind parameters,the interplanetary magnetic field,and the geomagnetic disturbance indices are analyzed.The results show that the ionospheric disturbance intensity factor,the solar wind-magnetosphere coupling intensity factor,and the Sun-Earth coupling intensity factor are the three main factors which influence the plasma density of the magnetosheath.The up-flowing ions are the important source for magnetosphere circular current and magnetotail plasma during the recovery phase.The analyses show that,as modeling the process of space physics by the empirical regression method,the multi-collinearity problem usually leads to the poor accuracy of the model.However,the statistical models built by the non-parametric statistical method of SIP and LPR can efficiently solve the problems above.关键词
磁鞘等离子体密度/切片逆回归(SIR)/局部多项式回归(LPR)/MHD模拟Key words
Plasma density of the magnetosheath/Sliced Inverse Regression (SIR)/Local Polynomial Regression (LPR)/MHD simulation分类
天文与地球科学引用本文复制引用
陈凯文,来鹏,赵凯,蒋勇..磁鞘等离子体密度统计建模[J].空间科学学报,2017,37(6):690-701,12.基金项目
国家自然科学基金项目(41604134)和江苏省自然科学基金项目(BK20161530)共同资助 (41604134)