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首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Forecast evaluation of the coronal mass ejection (CME) geoeffectiveness using halo CMEs from 1997 to 2003
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Forecast evaluation of the coronal mass ejection (CME) geoeffectiveness using halo CMEs from 1997 to 2003

机译:对1997年至2003年使用光晕CME进行的冠状物质抛射(CME)地球有效性的预测评估

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In this study we have made a forecast evaluation of geoeffective coronal mass ejections (CMEs) by using frontside halo CMEs and the magnetospheric ring current index, Dst. This is the first time, to our knowledge, that an attempt has been made to construct contingency tables depending on the geoeffectiveness criteria as well as to estimate the probability of CME geoeffectiveness depending on CME location and/or speed. For this, we consider 7742 CMEs observed by SOHO/LASCO and select 305 frontside halo CMEs with their locational information from 1997 to 2003 using SOHO/EIT images and GOES data. To select CME-geomagnetic storm (Dst < ?50 nT) pairs, we adopt a CME propagation model for estimating the arrival time of each CME at the Earth and then choose the nearest Dst minimum value within the window of ±24 hours. For forecast evaluation, we present contingency tables to estimate statistical parameters such as probability of detection yes (PODy) and false alarm ratio (FAR). We examine the probabilities of CME geoeffectiveness according to their locations, speeds, and their combination. From these studies, we find that (1) the total probability of geoeffectiveness for frontside halo CMEs is 40% (121/305); (2) PODys for the location (L < ∣50°∣) and the speed (>400 km s?1) are estimated to be larger than 80% but their FARs are about 60%; (3) the most probable areas (or coverage combinations) whose geoeffectiveness fraction is larger than the mean probability (~40%), are 0° < L < +30° for slower speed CMEs (≤800 km s?1), and ?30° < L < +60° for faster CMEs (>800 km s?1); (4) when the most probable area is adopted as the new criteria, the PODy becomes slightly lower, but all other statistical parameters such as FAR and bias are significantly improved. Our results can give us some criteria to select geoeffective CMEs with the probability of geoeffectiveness depending on the location, speed, and their combination.
机译:在这项研究中,我们通过使用正面光晕CME和磁层环电流指数Dst对地效冠状物质抛射(CME)进行了预测评估。据我们所知,这是第一次尝试根据地球有效性标准构建列联表,并根据CME的位置和/或速度估算CME地球有效性的可能性。为此,我们考虑了SOHO / LASCO观测到的7742个CME,并使用SOHO / EIT图像和GOES数据选择了1997年至2003年的305个前端晕CME及其位置信息。为了选择CME-地磁风暴(Dst <?50 nT)对,我们采用CME传播模型来估计每个CME到达地球的时间,然后在±24小时的窗口内选择最接近的Dst最小值。对于预测评估,我们提供了列联表以估计统计参数,例如检测概率为(PODy)和错误警报率(FAR)。我们根据其位置,速度及其组合来检查CME地球有效性的可能性。从这些研究中,我们发现(1)正面光晕CME的地球效应总概率为40%(121/305); (2)位置(L <∣50°∣)和速度(> 400 km s?1)的PODys估计大于80%,但其FAR约为60%; (3)对于速度较慢的CME(≤800 km s?1),地球有效性分数大于平均概率(〜40%)的最可能区域(或覆盖组合)为0° 800 km s?1); (4)当采用最可能的区域作为新标准时,PODy会稍微降低,但是所有其他统计参数(例如FAR和偏差)都会得到显着改善。我们的结果可以为我们提供一些选择地质有效CME的标准,其可能性取决于地点,速度及其组合。

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