李会超^1,2,,
冯学尚^1,2,
向长青¹
1. 中国科学院国家空间科学中心, 北京 100190
2. 中国科学院大学, 北京 100049

基金项目: 国家自然科学基金（41531073，41231068，41731067，41574171，41504132）资助


详细信息

作者简介: 李会超, 男, 博士研究生, 主要从事太阳风磁流体力学数值模拟研究.E-mail:hcli@spaceweather.ac.cn

中图分类号: P353

收稿日期:2017-11-19
修回日期:2018-01-11
上线日期:2019-01-05

Time-dependent simulation and result validation of interplanetary solar wind

LI HuiChao^1,2,,
FENG XueShang^1,2,
XIANG ChangQing¹
1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China


MSC: P353

--> Received Date: 19 November 2017
Revised Date: 11 January 2018
Available Online: 05 January 2019


摘要
摘要:背景太阳风对于地球附近的空间环境有着重要的影响，三维磁流体力学太阳风模型是背景太阳风研究和预报的重要工具.通过太阳光球磁场数据驱动的边界条件，我们发展了一个时变的行星际三维磁流体力学太阳风模型.使用这个模型，我们模拟了2008年全年的行星际背景太阳风，分析了该年太阳风结构全球特征的演化和行星际局地观测与日冕结构间的联系.实现了一套太阳风连续参数和特征结构模拟质量的定量评估方法.对2008年模拟结果的评估表明，模型较好地重现了背景太阳风的大尺度特征.模拟与观测速度间的相关性系数达到了0.6以上，行星际磁场强度与观测吻合得较好，捕获了全部的行星际磁场极性反转和82.76%的流相互作用区，行星际磁场极性反转的误报率仅为6.67%，流相互作用区的误报率仅为11.11%，两种结构的到达时间误差在1天左右.同时，通过综合分析评估结果，我们明确了高速流结构、内边界磁场分布等模型在进一步改进中需要重点注意的问题.
关键词: 磁流体力学/
太阳风/
数值模拟/
数据驱动/
结果评估

Abstract:The ambient solar wind has critical influence on the space environment near the Earth. Three dimensional magnetohydrodynamics solar wind model is an important tool for research and forecast of ambient solar wind. Employing boundary condition driven by solar photospheric magnetic field observation, we develop a time-dependent three dimensional magnetohydrodynamics interplanetary solar wind model. Using this model, we simulate the ambient solar wind of Year 2008, and analyze the evolution of global solar wind structures and the connection between interplanetary in-situ measurements and corona structures during that year. We realize a set of procedures, which evaluate the quality of predictions for both continuous solar wind parameters and characteristic structures of the solar wind. The evaluation results indicate that our model satisfactorily reproduces the large scale structure of the ambient solar wind during Year 2008. The correlation coefficient between observed and simulated speed is higher than 0.6. The strength of simulated interplanetary magnetic field matches observation well. All interplanetary magnetic field reverses and 82.76% of the stream interaction regions are captured by our model. The false alarm rate of the interplanetary magnetic field reverse prediction is only 6.67% while that of the stream interaction region is only 11.11%. The errors in predicting the arrival time of these two structures are about 1 day. Through comprehensive analysis of the evaluation result, we also gain understanding of the major issue of model improvement, including the structure of the high speed flow and the distribution of magnetic field at the inner boundary.
Key words:Magnetohydrodynamics/
Solar wind/
Numerical simulation/
Data-driven/
Result validation



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