Aspects of Global Magnetospheric Processes
- 出版年：2010
- 作者：P.Song；V.M.Vasyliūnas
- 单位1：Centerfor AtmosphericResearch and Department of Environmental，Earth and Atmospheric Sciences， University of Massachusetts Lowell
- 语种：英文
- 作者关键词：Global modeling；Solar wind-magnetosphere coupling；Magnetosphere-ionosphere coupling
- 起始页：289
- 总页数：20
- 刊名：空间科学学报
- 是否内版：否
- 刊频：双月刊
- 创刊时间：1981
- 主管单位：中国科学院
- 主办单位：中国科学院空间科学与应用研究中心；中国空间科学学会
- 主编：刘振兴
- 地址：北京8701信箱
- 邮编：100190
- 电子信箱：cjss@cssar.ac.cn
- 网址：http://www.cjss.ac.cn
- 卷：30
- 期：4
- 期刊索取号：P280.66 326
摘要
Magnetospheric global modeling is a method to link observations from distant regions via physical laws and has long played a unique and crucial role in space physics.It，different from computer simulations，represents the highest level of abstraction of the physical understanding of the processes that cause observed phenomena. It results in various specific models. While it appears in the form of cartoons，it is based on and has to be qualitatively consistent with physical laws.With the advancement of computer simulations，clues to the connection between physical laws and observation can be perceived much more easily than as ever before. However，computer simulation results are highly dependent on the used boundary conditions and numerical methods which may or may not represent the reality，even if the initial conditions are properly set. Therefore，simulations can easily mislead the investigations.Furthermore，a simulation result needs to be examined using diagnostic tools，such as field line tracing and streamline tracing programs. There are uncertainties in these diagnostic methods. The errors can be very large in certain areas under certain conditions.For example，a small error may link two different field lines or stream lines. The interpretations of the simulation results can be misled by these errors.The knowledge of global modeling can be useful in identifying the inconsistencies in the simulations and theflaws in the theoretical interpretation from the simulations.This review-tutorial article outlines the principles of the global modeling and discusses the successes and flaws of several global models.