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arXiv 2201.02137physics.space-phastro-ph.EPastro-ph.SR
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均值回归可以解释地磁风暴的饱和现象

Regression to the Mean can Explain Saturation of Geomagnetic Storms

The Catholic University of America(天主教大学);NASA Goddard Space Flight Center(美国宇航局戈达德太空飞行中心);University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校);Lancaster University(兰卡斯特大学);University of Alaska, Fairbanks(阿拉斯加大学费尔班克斯分校);Air Force Research Laboratory(空军研究实验室)

Nithin Sivadas, David Sibeck, Varsha Subramanyan, Maria-Theresia Walach, Dogacan Su Ozturk, Banafsheh Ferdousi, Bayane Michotte de Welle

AI总结:

研究地磁风暴饱和现象,发现此前理论因太阳风测量不确定性存在偏差,校正后表明地球对太阳风驱动响应线性,极端地磁风暴影响更大,指出均值回归是测量与真相关系的基本属性,该效应在多领域或有体现。

摘要:

地球上的极端空间天气事件发生在强烈太阳风驱动的时间段。太阳风在近地空间环境中驱动等离子体对流和电流。对于较低强度的驱动,地球的响应是线性的,可通过基于地面磁力仪活动的极盖指数等参数估算。奇怪的是,对于极端太阳风驱动,地球的响应似乎不会超过饱和极限增加。理论家们对此饱和效应提出了许多解释,但尚无共识。在此,我们证明这种饱和是太阳风测量时间和强度的随机不确定性导致的均值回归效应的体现。我们的结果表明,支撑饱和理论的数据分析存在非线性偏差,从而对这些理论的有效性提出挑战。校正不确定性后发现,地球对太阳风驱动的响应始终是线性的,极端地磁风暴的影响可能比之前认为的大两倍。我们表明均值回归是测量与真相之间关系的基本属性,与测量对应的真相更接近均值。这种效应在极端值的不确定测量中尤为明显,可能在从极端气候研究到慢性医学疼痛等各个领域中出现。

英文摘要:

Extreme space weather events on Earth occur during intervals of strong solar wind driving. The solar wind drives plasma convection and currents in the near-Earth space environment. For low values of the driver, the Earth's response is linear, estimated by parameters such as the polar cap index based on ground magnetometer activity. Curiously, for extreme solar wind driving, the Earth's response appears not to increase beyond a saturation limit. Theorists have advanced a host of explanations for this saturation effect, but there is no consensus. Here, we demonstrate that this saturation is a manifestation of the regression to the mean effect arising from random uncertainty in the timing and magnitude of solar wind measurements. Our results reveal that data analysis underpinning the saturation theories is non-linearly biased, thereby challenging the validity of the theories. Correcting for the uncertainties reveals that the Earth's response to solar wind driving is linear throughout, and that the impact of extreme geomagnetic storms can be twice as large as previously thought. We show that regression to the mean is a fundamental property of the relationship between measurement and the truth, where the truth corresponding to the measurement is closer to the mean. This effect is particularly pronounced for uncertain measurements of extreme values and is likely to manifest across various fields, from extreme climate studies to chronic medical pain.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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