使用UCSD时间依赖断层和ISEE星际闪数据预测层CME太阳风参数:2022年3月10日的CME
Bernard V Jackson1, Munetoshi Tokumaru2, Kazumasa Iwai2
1Center for Astrophysics and Space Sciences, University of California, San Diego 0424, La Jolla, CA 92093-0424 USA.
Solar physics
|June 2, 2023
概括
遥感行星间闪 (IPS) 数据可以预测太阳风条件. 2022年3月的一次冠状质量喷射 (CME) 事件使用这种技术和多个航天器成功观察和分析.
科学领域:
- 空间物理 空间物理
- 太空物理学 太空物理学
- 等离子体物理学的物理学
背景情况:
- 星际闪 (IPS) 数据为太阳风参数提供了宝贵的见解.
- 日本的太空地球环境研究研究所 (ISEE) 收集IPS数据用于内部日球分析.
- 了解太阳风的动态对于太空天气预报至关重要.
研究的目的:
- 介绍IPS数据的3D分析技术,以预测太阳风参数.
- 通过分析特定的冠状质量喷射 (CME) 事件来验证该技术.
- 为了证明IPS数据能够在内部日球层中跟踪CME的能力.
主要方法:
- 使用来自日本ISEE的远程传感IPS数据.
- 应用3D分析技术来预测等离子体速度,密度和磁场.
- 将IPS分析与太阳轨道卫星和BepiColombo等航天器的现场测量进行了验证.
主要成果:
- 3D IPS分析技术成功预测了太阳风的参数.
- 在2022年3月10日的CME事件中,使用IPS数据和多个航天器进行了观测.
- 航天器的测量证实了CME的形态和不同日中心距离的到来.
结论:
- IPS数据分析是理解和预测太阳风条件的强大工具.
- 本技术提供了一种可靠的方法来追踪CME和其他太阳事件.
- 未来的IPS分析可以显著提高我们对内部日球现象的理解.
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