数据驱动的三维磁流体力学背景太阳风模拟研究进展

doi:10.6038/pg2019CC0201

地球物理学进展 ›› 2019, Vol. 34 ›› Issue (4): 1303-1313.doi: 10.6038/pg2019CC0201

• 固体地球物理及空间物理学（大气、行星、地球动力学、重磁电及地震学、地热学） • 上一篇下一篇

数据驱动的三维磁流体力学背景太阳风模拟研究进展

李会超^1,³,张莹^2,^3,^4,^*()

^1. 中国科学院国家空间科学中心,北京 100190
^2. 中国科学院地质与地球物理研究所,地球与行星物理重点实验室,北京 100029
^3. 中国科学院大学,北京 100049
^4. 中国科学院地球科学研究院,北京 100029

收稿日期:2018-09-11 修回日期:2019-05-05 出版日期:2019-08-20 发布日期:2019-08-30
通讯作者: 张莹 E-mail:yzhang@mail.iggcas.ac.cn
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)
基金资助:
国家自然科学基金(41531073);国家自然科学基金(41574171)

Advances in the data-driven three-dimensional magnetohydrodynamics ambient solar wind modelling

LI Hui-chao^1,³,ZHANG Ying^2,^3,^4,^*()

^1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
^2. Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
^3. University of Chinese Academy of Sciences, Beijing 100049, China
^4. Institutions of Earth Science, Chinese Academy of Sciences, Beijing 100029, China

Received:2018-09-11 Revised:2019-05-05 Online:2019-08-20 Published:2019-08-30
Contact: Ying ZHANG E-mail:yzhang@mail.iggcas.ac.cn

摘要/Abstract

摘要：

三维磁流体力学背景太阳风模型是日地耦合过程研究和空间天气数值预报的重要工具.该类模型的当前发展趋势是数据驱动的太阳风三维磁流体力学模拟,其输入参数为随时间变化的太阳连续观测,其模型输出为更接近真实的背景太阳风的三维空间分布及其随时间的演化.本文总结了背景太阳风的空间天气效应及其三维磁流体力学模型的作用和构成,综述了数据驱动的背景太阳风三维磁流体力学模拟的近年研究进展,展望了数据驱动模拟的未来发展方向.

关键词: 磁流体力学, 太阳风, 数值模拟, 数据驱动

Abstract:

Three dimensional (3D) Magnetohydrodynamics (MHD) ambient solar wind model is a critical tool for solar-terrestrial coupling process research and space weather forecast. Current development trend of such model is the data-driven 3D MHD ambient solar wind modelling, which uses continuously time-varying solar observations as input, and is able to generate 3D distribution of the ambient solar parameters and its time-dependent evolution. In this paper, the space weather effects of the ambient solar wind and the functions and ingredients of the 3D MHD ambient solar wind model are summarized. The research progress of the data-driven 3D MHD ambient solar wind model in recent years is reviewed. Discussion is made on further development of the data-driven model.

Key words: Magnetohydrodynamics, Solar wind, Numerical Simulation, Data-driven

中图分类号:

P353

李会超, 张莹. 2019. 数据驱动的三维磁流体力学背景太阳风模拟研究进展. 地球物理学进展, 34(4): 1303-1313. doi: 10.6038/pg2019CC0201.

LI Hui-chao, ZHANG Ying. 2019. Advances in the data-driven three-dimensional magnetohydrodynamics ambient solar wind modelling. Progress in Geophysics. 34(4): 1303-1313. doi: 10.6038/pg2019CC0201.

图/表 4

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数据驱动的三维磁流体力学背景太阳风模拟研究进展

Advances in the data-driven three-dimensional magnetohydrodynamics ambient solar wind modelling

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