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Forecast evaluation of the coronal mass ejection (CME) geoeffectiveness using halo CMEs from 1997 to 2003

机译:日冕物质抛射的预测评价(CME) geoeffectiveness使用光环从1997年太阳风暴到2003年

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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 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° 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:在这项研究中我们已经做了一个预测评估geoeffective日冕物质抛射(cme)使用进料侧光环cme和磁性层的环电流指数,Dst。据我们所知,这一次尝试根据构建应急表geoeffectiveness标准以及评估CME geoeffectiveness不同的概率在CME位置和/或速度。考虑7742 cme SOHO / LASCO和观察到的选择305年进料侧光环cme与他们从1997年到2003年使用位置信息SOHO / EIT图像和数据。CME-geomagnetic风暴(Dst 400公里s ? 1)估计大于80%,但他们的法尔斯60%;geoeffectiveness分数的组合)比平均概率(~ 40%),都是0° 800公里(s ? 1);(4)当采用的最可能的区域新标准,PODy变得稍低,但是所有其他统计参数等和偏见都显著提高。可以给我们一些标准来选择geoeffectivecme geoeffectiveness的概率根据不同的位置,速度,和他们的组合。

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