一个多模式层级的磁极性逆转功能数据集用于空间天气预报的数据集
Ziba Khani1, Anli Ji2, Manolis K Georgoulis3
1Department of Computer Science, Georgia State University, Atlanta, GA, USA.
Data in brief
|January 21, 2026
概括
现在可以从SDO/HMI获得磁极性逆向线 (MPIL) 的新数据集. 这一分层数据集通过提供详细的磁场信息,有助于太空物理学研究和太空天气预报.
科学领域:
- * 太空物理学和太空天气研究
- * 太阳物理 太阳物理
- * 磁动力学 磁动力学
背景情况:
- *了解太阳磁场演变对于太空天气预报至关重要.
- *磁极反向线 (MPIL) 是太阳活动的关键指标.
- *以前的数据集缺乏对细微分析所需的多层次细节.
研究的目的:
- * 引入一个全面的,公开可用的,多式联运的,分层的MPIL数据集.
- *为研究人员提供详细的磁极性信息,用于各种应用.
- * 支持日光物理学和太空天气预报方面的进步.
主要方法:
- *从太阳力学天文台 (SDO) /地球地震和磁力成像仪 (HMI) 活跃区域补丁 (HARP) 数据中提取MPIL.
- *采用四个不同的磁场强度值的检测方法.
- *生成四层MPIL数据,包括二进制面具和多变量时间序列元数据.
- *使用兰伯特圆柱形等面积 (CEA) 投影在12分钟的节奏下绘制6,695个HARP系列的映射.
主要成果:
- * 一个新的,分层的MPIL数据集,涵盖2010年5月至2025年4月.
- *四层数据捕获MPIL功能在多个级别的细节.
- *每层6种类型的二进制面具 (MPIL,RoPI,极性区域,凸船体).
- *包括结构化的多变量时间序列元数据用于时间分析.
结论:
- *分层数据集为研究太阳磁场变化提供了前所未有的细节.
- * 本资源为各种科学和运营目标提供量身定制的分析.
- * 该数据集是改善日光物理学研究和空间天气预报能力的宝贵工具.
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