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Sprite Distribution of Different Polarities From ISUAL Observations With Machine Learning Method

文献类型：期刊论文

作者Zhang, Mao1; Lu, Gaopeng1,2,3; Wang, Ziyi1; Peng, Kang-Ming1; Huang, Hailiang1; Ren, Huan1; Liu, Feifan1; Lei, Jiuhou1
刊名JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
出版日期2022-10-16
卷号127
关键词machine learning red sprite sea-land contrast lightning
ISSN号2169-897X
DOI10.1029/2022JD036968
通讯作者Lu, Gaopeng(gaopenglu@gmail.com)
英文摘要The morphological features of sprites are closely related to the polarity of their causative lightning strokes. Using the machine learning method, we develop a model with an accuracy of 93.8% to identify the polarity of sprite-producing cloud-to-ground (CG) lightning strokes for events recorded during the Imager of Sprites and Upper Atmospheric Lightning (ISUAL) mission. Approximately 17% of the sprites are identified to be produced by negative CG lightning strokes. The global distribution of the polarity of sprite-producing CG lightning strokes suggests that the ratio of sprites produced by negative CG lightning strokes relative to sprites produced by positive ones varies with latitude and sea-land distribution. Sprites produced by negative CG lightning strokes appear to be generated in the tropical regions below 20 degrees latitude and the oceanic area. Moreover, the proportion of sprites produced by negative CG lightning strokes over Africa and North America are much smaller than that over the rest of the continents and the sea.
WOS关键词CURRENTS ; VLF
资助项目CAS Project of Stable Support for Youth Team in Basic Research Field[YSBR-018] ; National Key Research and Development Program of China[2019YFC1510103] ; National Natural Science Foundation of China[41875006] ; National Natural Science Foundation of China[U1938115] ; Chinese Meridian Project ; International Partnership Program of Chinese Academy of Sciences[183311KYSB20200003]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000863586900001
出版者AMER GEOPHYSICAL UNION
资助机构CAS Project of Stable Support for Youth Team in Basic Research Field ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Meridian Project ; International Partnership Program of Chinese Academy of Sciences
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129201]  
专题中国科学院合肥物质科学研究院
通讯作者Lu, Gaopeng
作者单位1.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei, Peoples R China
2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Mao,Lu, Gaopeng,Wang, Ziyi,et al. Sprite Distribution of Different Polarities From ISUAL Observations With Machine Learning Method[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2022,127.
APA Zhang, Mao.,Lu, Gaopeng.,Wang, Ziyi.,Peng, Kang-Ming.,Huang, Hailiang.,...&Lei, Jiuhou.(2022).Sprite Distribution of Different Polarities From ISUAL Observations With Machine Learning Method.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,127.
MLA Zhang, Mao,et al."Sprite Distribution of Different Polarities From ISUAL Observations With Machine Learning Method".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 127(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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