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多种观测数据驱动的三维行星际太阳风MHD模拟

杨易 沈芳 杨子才

杨易, 沈芳, 杨子才. 多种观测数据驱动的三维行星际太阳风MHD模拟[J]. 空间科学学报, 2020, 40(3): 305-314. doi: 10.11728/cjss2020.03.305
引用本文: 杨易, 沈芳, 杨子才. 多种观测数据驱动的三维行星际太阳风MHD模拟[J]. 空间科学学报, 2020, 40(3): 305-314. doi: 10.11728/cjss2020.03.305
YANG Yi, SHEN Fang, YANG Zicai. Simulation of Interplanetary Solar Wind with Three-dimensional MHD Model Driven by Multiple Observations[J]. Journal of Space Science, 2020, 40(3): 305-314. doi: 10.11728/cjss2020.03.305
Citation: YANG Yi, SHEN Fang, YANG Zicai. Simulation of Interplanetary Solar Wind with Three-dimensional MHD Model Driven by Multiple Observations[J]. Journal of Space Science, 2020, 40(3): 305-314. doi: 10.11728/cjss2020.03.305

多种观测数据驱动的三维行星际太阳风MHD模拟

doi: 10.11728/cjss2020.03.305
基金项目: 

国家自然科学基金项目(41774184,41874202,41731067),国家重点实验室专项研究基金项目和国家"万人计划"青年拔尖人才项目共同资助

详细信息
    作者简介:

    杨易,E-mail:yyang@spaceweather.ac.cn

  • 中图分类号: P353

Simulation of Interplanetary Solar Wind with Three-dimensional MHD Model Driven by Multiple Observations

  • 摘要: 三维磁流体力学(MHD)数值模拟是行星际太阳风研究的重要手段.本文发展了一种由多种观测数据驱动的三维行星际太阳风MHD数值模型.模型的计算区域为0.1AU到1AU附近,使用Lax-Friedrich差分格式在六片网格系统中进行数值求解.边界条件中磁场使用GONG台站观测的光球磁图外推获得,密度通过LASCO观测的白光偏振亮度反演得到,速度根据以上两种观测数据并利用一种基于人工神经网络技术(ANN)的方法得到,温度通过自洽方法根据磁场和密度导出.利用该模型模拟了第2062卡灵顿周(CR2062)时期的行星际太阳风,模拟结果显示出丰富的观测特征,并与OMNI以及Ulysses的实际观测值符合得较好.该模型可用于提供接近真实的行星际太阳风,有助于提高空间天气预报的精度.

     

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出版历程
  • 收稿日期:  2019-02-14
  • 修回日期:  2019-07-25
  • 刊出日期:  2020-05-15

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