Research on Sloar Proton Event Warning With Observation Data of ACE Satellite
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摘要: 通过分析GOES和ACE卫星大于10MeV能量段的5min平均质子通量数据,发现两者有很好的相关性,最佳相关系数显示,GOES通量数据较ACE卫星数据有数十分钟至几小时的时间延迟.这为利用ACE数据进行质子事件预警提供了依据.本文提出一种利用ACE卫星大于10MeV能量段的通量数据对质子事件进行预警的方法.该方法在2001年8月7日至2012年2月20日这11年多时间的试验中,表现出较高的报准率(76.3%)和较低的虚报率(14.7%),预警提前时间在数十分钟至几小时不等.该方法的结果与美国国家海洋和大气管理局(NOAA)空间天气预测中心(SWPC)使用的预警模型对比,具有更高的报准率,较低的虚报率,在预警时间提前量方面两者相当.Abstract: Solar Proton Event (SPE) can bring significant radiation hazards to astronauts and spacecrafts in space. An accuracy SPE warning model is meaningful since some effective actions on basis of the warning results could be done to reduce the abundant radiation from which astronauts and spacecrafts would suffer. Therefore, a number of researchers try to build reliable SPE warning models, and some of the results are quite satisfactory. Five-minute- average real-time integral energetic solar protons flux data (mainly above 10MeV) from ACE satellite and GOES in Solar Proton Event periods were analyzed. Besides, correlation coefficients between two kinds of data were calculated. The optimal correlation coefficients were satisfactory, and they showed that the flux data from GOES have tens of minutes up to several hours lag time compared with that from ACE. This paper tries to use the ACE satellite data described above to build a new SPE onset warning method. Furthermore, five-minute- average real time integral energetic proton flux on GOES from Aug. 7, 2001 to Feb. 20, 2012 were utilized to check the new method's validity. This new method has low false probabilities (14.7%) and fairly good detection probabilities (76.3%) in SPE onset warning. Moreover, it has a prior time from tens of minutes up to couple hours. The results were compared with SPE warning results of SWPC, which shows this new method is superior to the latter in some extent.
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Key words:
- Proton flux /
- Solar Proton Event warning /
- Solar Proton Events (SPE)
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[1] Liu Zhengxing. Space Physics[M]. Harbin: Harbin Industry Press, 2005. 342-352. In Chinese (刘振兴. 太空物理学. 哈尔滨: 哈尔滨工业大学出版社, 2005. 342-352) [2] Lai Zhijuan, Xue Bingsen. Preliminary attempt in prediction of the solar proton event with proton flux data[J]. Chin. J. Space Sci., 2008, 28(2):102-106. In Chinese (赖志娟, 薛炳森. 利用质子强度变化对太阳质子事件进行短期预报方法初 步研究[J]. 空间科学学报, 2008, 28(2):102-106) [3] Wang Shijin, Lin Huaan. A discussion on a new method of the solar proton flare warning[J]. Chin. J. Space Sci., 1993, 13(3):215-223. In Chinese (王世金, 林华安. 一种 新的太阳质子事件警报方法探讨[J]. 空间科学学报, 1993, 13(3):215-223) [4] Wang Shijin, Lin Huaan. The characteristics of solar X-ray emission for proton flares and proton event warning[J]. Chin. J. Space Sci., 1993, 13(2):122-128. In Chinese (王世金, 林华安. 太阳耀斑X射线辐射特征及质子事件警报[J]. 空间科学学报, 1993, 13(2):122-128) [5] Wang Jialong, Sun Jinglan, Gong Jiancun, Zhang Xunjie. A two-pass neural network method for proton events warning[J]. Chin. J. Space Sci., 2000, 30(Supp.):92-95. In Chinese (王家龙, 孙敬兰, 龚建村, 张讯械. 二阶神经网络用于太阳质 子事件警报[J]. 中国科学, 2000, 30(增刊):48-53) [6] Hu Xiong. Warning of solar proton events[J]. Chin. J. Space Sci., 1998, 18(4):323-328. In Chinese (胡雄. 太阳 质子事件警报[J]. 天体物理学报, 1998, 18(4):323-328) [7] Wang Jialong, Zhang Xunjie, Huang Zerong. A neural network method for solar proton events warning[J]. Chin. J. Astron. Astrophys., 1999, 19(3):318-323. In Chinese (王家龙, 张训械, 黄泽荣. 神经网络用于太阳质子事件警报[J]. 天文物理学报, 1999, 19(3):318-323) [8] Gong Jiancun, Xue Bingsen, Liu Siqing, et al. Short-term prediction of solar proton events by neural network method[J]. Chin. Astron. Astrophys., 2004, 28(2):166-173. In Chinese (龚建村, 薛炳森, 刘四清, 等. 神经网络方法在太阳质子事短期预报中的应用[J]. 空间科学学报, 2004, 28(2):166-173) [9] Cui Yanmei, Liu Siqing, Wang Huaning. Application of solar Photospheric magnetic field properties in SPE short-term forecast[J]. Chin. J. Space Sci., 2010, 30(2):97-104. In Chinese (崔延美, 刘四清, 王华宁. 太阳光球磁 场特征物理量在质子事件短期预报中的应用[J]. 空间科学学报, 2010, 30(2):97-104) [10] Cui Yanmei, Li Rong, Liu Siqing. SPE short-term forecast with photospheric magnetic field properties and traditional forecast factors[J]. Chin. J. Space Sci., 2011, 31(4):436-440. In Chinese (崔延美, 等. 结合光球磁场特征物理量 的质子事件短期预报[J]. 空间科学学报, 2011, 31(4):436-440) [11] Balch C C. SEC proton prediction model: verification and analysis[J]. Radiat. Measur., 1999, 30:231-250 [12] Balch C C. Updated verification of the Space Weather Prediction Center's solar energetic particle prediction model[J]. Space Weather, 2008, 6, S01001, doi: 10.1029/2007SW000337 -
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