SIP-AMR-CESE模式对CR2055背景太阳风的模拟

王静; 李会超

doi:10.11728/cjss2019.06.719

SIP-AMR-CESE模式对CR2055背景太阳风的模拟

doi: 10.11728/cjss2019.06.719

王静,
李会超

中国科学院国家空间科学中心空间天气学国家重点实验室北京 100190;中国科学院大学北京 100049

基金项目:

国家自然科学基金项目资助（41504132，41874202）

详细信息

作者简介:
李会超,E-mail:hcli@swl.ac.cn

中图分类号: P353
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- 被引次数: 0
出版历程
- 收稿日期: 2018-10-22
- 修回日期: 2019-10-08
- 刊出日期: 2019-11-15

Simulation of CR2055 Solar Wind with SIP-AMR-CESE Model

State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049

摘要

摘要: 使用三维太阳行星际自适应网格守恒元解元太阳风模型（SIP-AMR-CESE MHD），模拟从太阳表面到地球轨道附近的太阳风.该模型使用六片网格技术，同时利用PARAMESH软件包实现网格自适应.在该模型的基础上，通过增加广义拉格朗日乘子（GLM）磁场散度误差消去方法，完善网格加密放粗判据，微调加速加热形式等方法，使模拟结果与观测更好地符合.另外，通过控制不同时刻的计算区域，显著提高了模型的计算效率.在此基础上，给出了模型改进后模拟得到的CR2055太阳风稳态解与观测的对比分析.
- MHD方程组 /
- 广义拉格朗日乘子 /
- 日冕行星际太阳风模拟
Abstract: In this paper, the three-dimensional (3D) Solar-Interplanetary (SIP) Adaptive Mesh Refinement (AMR) space-time Conservation Element and Solution Element (CESE) MHD (SIP-AMR-CESE MHD) model is used to simulate solar wind from the solar surface to the Earth's orbit. The model uses a six-component grid system and the PARAMESH software package to implement adaptive mesh refinement. Based on the model, the Generalized Lagrange Multiplier (GLM) was added to eliminate the divergence error of magnetic field in the simulation of solar wind. Heating-method was adjusted so that the model can produce a more distinct fast and slow solar wind structure. An improved grid refinement criterion, accompanied by GLM addition and heating-method adjustment, making the simulation results more consistent with the observations. Moreover, the computational efficiency of the model was improved by controlling the computation range at different times. By using the improved model, the steady state solution of CR2055 solar wind was obtained and it showed a good agreement with the observations. In this paper, we gave some useful methods to make the solar wind simulation more efficient and consistent with the observations. This work is very meaningful.
- MHD equations /
- Generalized Lagrange Multiplier (GLM) /
- Corona-interplanetary solar wind simulation

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