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Ensemble modeling of the 23 July 2012 coronal mass ejection

机译:2012年7月23日日冕物质抛射的整体模型

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摘要

On 23 July 2012 a significant and rapid coronal mass ejection (CME) was detected in situ by the Solar Terrestrial Relations Observatory (STEREO) A. This CME was unusual due to its extremely brief Sun-to-1 AU transit time of less than 21 h and its exceptionally high impact speed of 2246 km/s. If this CME had been Earth directed, it would have produced a significant geomagnetic storm with potentially serious consequences. To protect our ground- and space-based assets, there is a clear need to accurately forecast the arrival times of such events using realistic input parameters and models run in near real time. Using Wang-Sheely-Arge (WSA)-Enlil, the operational model currently employed at the NOAA Space Weather Prediction Center, we investigate the sensitivity of the 23 July CME event to model input parameters. Variations in the initial CME speed, angular width, and direction, as well as the ambient solar wind background, are investigated using an ensemble approach to study the effect on the predicted arrival time of the CME at STEREO A. Factors involved in the fast transit time of this large CME are discussed, and potential improvements to modeling such events with the WSA-Enlil model are presented.
机译:2012年7月23日,太阳陆地关系观测站(STEREO)A在原位检测到了重大而快速的日冕物质抛射(CME)。该CME之所以与众不同,是因为其从太阳到1 AU的短暂过渡时间少于21天h以及2246 km / s的极高冲击速度。如果该CME是地球定向的,那将产生巨大的地磁风暴,并可能造成严重后果。为了保护我们的地面和太空资产,显然需要使用逼真的输入参数和近实时运行的模型来准确预测此类事件的到达时间。使用Wang-Sheely-Arge(WSA)-Enlil(目前在NOAA太空天气预报中心使用的运行模型),我们调查了7月23日CME事件对输入参数建模的敏感性。使用整体方法研究了初始CME速度,角宽度和方向以及环境太阳风本底的变化,以研究对CME到达STEREO A的预计到达时间的影响。讨论了大型CME的时间,并提出了使用WSA-Enlil模型对此类事件进行建模的潜在改进。

著录项

  • 来源
    《Space Weather》 |2015年第10期|611-625|共15页
  • 作者单位

    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA, Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA;

    Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA;

    Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA;

    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA, Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA;

    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA, Space Weather Prediction Center, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA;

    Space Vehicles Directorate, Air Force Research Laboratory, Kirtland Air Force Base, New Mexico, USA;

    Space Vehicles Directorate, Air Force Research Laboratory, Kirtland Air Force Base, New Mexico, USA;

    School of Physics, Astronomy, and Computational Sciences, George Mason University, Fairfax, Virginia, USA, Heliophysics Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind; Predictive models; Magnetic resonance imaging; Weather forecasting; Storms; Adaptation models;

    机译:风;预测模型;磁共振成像;天气预报;暴风雨;适应模型;

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