Barcelona Graduate School of Mathematics (BGSMath), Edifici C, Campus Bellaterra, E-08193, Barcelona, Spain.
Departament de Matemàtiques, Universitat Autònoma de Barcelona (UAB), E-08193, Barcelona, Spain.
Sci Rep. 2019 Feb 20;9(1):2393. doi: 10.1038/s41598-019-38918-8.
Intense geomagnetic storms can cause severe damage to electrical systems and communications. This work proposes a counting process with Weibull inter-occurrence times in order to estimate the probability of extreme geomagnetic events. It is found that the scale parameter of the inter-occurrence time distribution grows exponentially with the absolute value of the intensity threshold defining the storm, whereas the shape parameter keeps rather constant. The model is able to forecast the probability of occurrence of an event for a given intensity threshold; in particular, the probability of occurrence on the next decade of an extreme event of a magnitude comparable or larger than the well-known Carrington event of 1859 is explored, and estimated to be between 0.46% and 1.88% (with a 95% confidence), a much lower value than those reported in the existing literature.
强烈的地磁暴会对电力系统和通信造成严重破坏。本工作提出了一个具有威布尔间隔时间的计数过程,以便估计极端地磁事件的概率。结果发现,间隔时间分布的尺度参数随定义风暴的强度阈值的绝对值呈指数增长,而形状参数则相对保持不变。该模型能够预测给定强度阈值下事件发生的概率;特别是,研究了下一个十年发生与 1859 年著名的卡林顿事件相当或更大的极端事件的发生概率,估计为 0.46%至 1.88%(置信度为 95%),这一数值远低于现有文献中的报告值。