Modeling the Geomagnetic Response to the September 2017 Space Weather Event Over Fennoscandia Using the Space Weather Modeling Framework: Studying the Impacts of Spatial Resolution
Modeling the Geomagnetic Response to the September 2017 Space Weather Event Over Fennoscandia Using the Space Weather Modeling Framework: Studying the Impacts of Spatial Resolution
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使用空间天气模型框架对 2017 年 9 月 Fennoscandia 空间天气事件的地磁响应进行建模：研究空间分辨率的影响
DOI：
10.1029/2020sw002683
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Dimmock A
中科院分区：
文献类型：
--
作者：
Dimmock A
我们必须能够预测和减轻地磁感应电流（GIC）的影响，以尽量减少社会经济影响。这项研究采用空间天气建模框架（SWMF）来模拟Fennoscandia对2017年9月7日至8日事件的地磁响应。本研究的关键是空间分辨率在区域预报和改进的GIC模拟结果方面的影响。因此，我们以相对较低、中等和较高的空间分辨率运行模型。每个模型运行的虚拟磁力计与IMAGE磁力计网络在不同纬度和区域尺度上的观测结果进行了比较。来自SWMF的虚拟磁力计数据与当地地面电导率模型相结合，该模型用于计算芬兰天然气管道中的地电场并估计GIC。这一调查导致了几个重要的结果，其中更高的分辨率产生：（1）更现实的幅度和时间的GIC，（2）更高幅度的地磁扰动跨纬度，和（3）增加的区域变化在站之间的差异。尽管如此，亚暴仍然是一个重大的挑战，从全球磁流体动力学模型的表面磁场预测。例如，在存在多个大型亚暴的情况下，相关的大幅低压没有被捕获，这导致了最大的模型数据偏差。这项工作的结果对建模者和空间气象运营者都至关重要。特别是当目标是获得更好的地磁扰动区域预报和/或更现实的地电场估计时。
We must be able to predict and mitigate against geomagnetically induced current (GIC) effects to minimize socio‐economic impacts. This study employs the space weather modeling framework (SWMF) to model the geomagnetic response over Fennoscandia to the September 7–8, 2017 event. Of key importance to this study is the effects of spatial resolution in terms of regional forecasts and improved GIC modeling results. Therefore, we ran the model at comparatively low, medium, and high spatial resolutions. The virtual magnetometers from each model run are compared with observations from the IMAGE magnetometer network across various latitudes and over regional‐scales. The virtual magnetometer data from the SWMF are coupled with a local ground conductivity model which is used to calculate the geoelectric field and estimate GICs in a Finnish natural gas pipeline. This investigation has lead to several important results in which higher resolution yielded: (1) more realistic amplitudes and timings of GICs, (2) higher amplitude geomagnetic disturbances across latitudes, and (3) increased regional variations in terms of differences between stations. Despite this, substorms remain a significant challenge to surface magnetic field prediction from global magnetohydrodynamic modeling. For example, in the presence of multiple large substorms, the associated large‐amplitude depressions were not captured, which caused the largest model‐data deviations. The results from this work are of key importance to both modelers and space weather operators. Particularly when the goal is to obtain improved regional forecasts of geomagnetic disturbances and/or more realistic estimates of the geoelectric field.
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DOI：
10.1002/2015ja021343
发表时间：
2015-12
期刊：
Journal of Geophysical Research: Space Physics
影响因子：
--
作者：
C. Forsyth;I. J. Rae;J. Coxon;M. Freeman;C. Jackman;Jesper Gjerloev;Jesper Gjerloev;A. Fazakerley
通讯作者：
C. Forsyth;I. J. Rae;J. Coxon;M. Freeman;C. Jackman;Jesper Gjerloev;Jesper Gjerloev;A. Fazakerley
极端事件的电导模型：极光电导对空间天气预报的影响
影响因子：
3.7
作者：
Mukhopadhyay, Agnit;Welling, Daniel T.;Liemohn, Michael W.;Ridley, Aaron J.;Chakraborty, Shibaji;Anderson, Brian J.
通讯作者：
Anderson, Brian J.
极光欧米伽带是大地磁感应电流的重要原因
影响因子：
5.2
作者：
S. Apatenkov;V. Pilipenko;E. Gordeev;A. Viljanen;L. Juusola;V. Belakhovsky;Y. Sakharov;V. Selivanov
通讯作者：
V. Selivanov
影响因子：
4.6
作者：
A. Kelbert
通讯作者：
A. Kelbert
DOI：
10.1017/s1743921317004185
发表时间：
2016
期刊：
Proceedings of the International Astronomical Union
影响因子：
--
作者：
A. Lago;L. Vieira;E. Echer;L. Balmaceda;M. Rockenbach;W. Gonzalez
通讯作者：
W. Gonzalez