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Statistics of Coronal Mass Ejections for use in space weather forecasting

机译:用于空间天气预报的日冕物质抛射统计

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摘要

Forecasts of geomagnetic activity are vital for helping to protect vulnerable technological infrastructure. However, we have relatively little data with which to make a decision about the level of expected activity. Whilst advances in modelling techniques (for example, the WSA-ENLIL model) and increases in data availability are helping, there is still a knowledge gap and forecasts still depend heavily on the judgement of the forecaster. The aim of this work is to help forecasters put CMEs into context, based on past events, in a straightforward manner.ududWe have analysed 12 years of coronal mass ejections (CMEs) from Jan 1998 to Dec 2009, focusing on the data available at the time for forecasting. CMEs which were identified as having a potential to impact the Earth are then assessed and correlated with any resulting geomagnetic activity. Here we present statistics of Earth-directed CMEs and their likelihood to cause geomagnetic storms based on near-real time data. We review parameters including CME velocity, angular width, source location and velocity, and compare our results with other related studies. ud
机译:地磁活动的预测对于帮助保护脆弱的技术基础设施至关重要。但是,我们只有很少的数据可以用来确定预期活动的水平。尽管建模技术的进步(例如,WSA-ENLIL模型)和数据可用性的提高在有所帮助,但仍然存在知识缺口,并且预测仍在很大程度上取决于预测者的判断。这项工作的目的是帮助预报员根据过去的事件以直接的方式将CME置于上下文中。可在当时进行预测。然后评估被识别为有可能影响地球的CME,并将其与任何由此产生的地磁活动联系起来。在这里,我们根据近实时数据介绍了地球定向CME的统计数据及其引起地磁风暴的可能性。我们审查了包括CME速度,角宽度,源位置和速度在内的参数,并将我们的结果与其他相关研究进行了比较。 ud

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  • 作者

    Kelly Gemma S.;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 en
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