在乱的alpha和Babcock-Leighton机制中评估类似太阳的行为,使用非运动的非线性流量传输太阳能动力发电机
Fadil Inceoglu1,2, Rainer Arlt3
1Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA. fadil.inceoglu@noaa.gov.
Scientific reports
|October 8, 2024
概括
动阿尔法 (TA) 动力发电机模型准确模拟太阳活动,包括大最小值和周期变化,匹配历史数据. 巴布科克-莱顿 (BL) 动力发电机模型在复制这些太阳动力学方面表现不佳.
科学领域:
- 太阳物理 太阳物理
- 太空物理学 太空物理学
- 动力发电机理论 动力发电机理论
背景情况:
- 太阳活动表现出周期性变化和长期调制.
- 了解底层的太阳能发电机机制对于预测太空天气和气候至关重要.
- 以前的模型在准确复制观察到的太阳活动模式方面存在局限性.
研究的目的:
- 为了比较动阿尔法 (TA) 和巴布科克-莱顿 (BL) 动力发电机机制在模拟太阳活动中的性能.
- 评估模型输出与观测数据和代理记录对比.
- 为了确定哪个动力发电机模型更好地捕捉历史太阳活动重建.
主要方法:
- 使用非动力学,非线性平均场流量传输太阳能发电机模型模拟3万年的太阳活动.
- 实现动阿尔法 (TA) 和巴布科克-莱顿 (BL) 动力发电机机制.
- 将模拟结果与观测数据 (例如,碳-14) 和直接太阳观测结果进行比较.
主要成果:
- 无论是TA还是BL动力发电机,都会产生类似施瓦贝的变化.
- 此外,TA动力发电机还可以再现近两年一次的振荡 (QBOs) 和格莱斯伯格周期.
- 模拟TA动力发电机的大最小 (13.3%) 和最大 (12.2%) 状态与历史重建相一致.
- 与BL发动机不同的是,TA发动机捕捉了在大最小值和振幅依赖性期间的施瓦贝周期长度变化.
结论:
- 与巴布科克-莱顿 (BL) 模型相比,动阿尔法 (TA) 动力发电机模型提供了更准确的太阳活动表示.
- 该TA动力发电机成功地重现了太阳变化的关键特征,包括大最小值和周期调制.
- 使用TA动力发电机模型进行进一步的研究可以提高我们对太阳动力学和长期预测的理解.
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