中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Development of a 3-D Plasmapause Model With a Back-Propagation Neural Network

文献类型:期刊论文

作者Zheng, Zhi-Qi1,2,5,6; Lei, Jiuhou5; Yue, Xinan1,2,3,6; Zhang, Xiao-Xin4; He, Fei1,2,3,5,6
刊名SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS
出版日期2019-12-01
卷号17期号:12页码:1689-1703
关键词3-D BPNN empirical model geomagnetic indices plasmapause solar wind
DOI10.1029/2019SW002360
英文摘要Several empirical models have been previously developed to study the characteristics of the global plasmasphere. A three-dimensional solar wind-driven global dynamic plasmapause model was developed in this study using a back-propagation neural network based on multisatellite measurements. Our database contains 37,859 plasmapause crossing events from 4 January 1995 to 31 December 2015 covering all 24 magnetic local times (MLTs) from -66 degrees to 79 degrees magnetic latitudes. This model is parameterized by solar wind speed Vsw, interplanetary magnetic field Bz, SYM-H, and AE indices with smooth MLTs and latitude dependence. As the first 3-D empirical model, this model corresponds to the true plasmapause structure and is useful for observing space weather and other applications especially for predicting the shape of the plasmapause by forecasting the input parameters. Moreover, the proposed model is not only highly sensitive to these parameters, but also to their changes over days, seasons, and years; this means that the diurnal, seasonal, and annual variations of the parameters can be captured by the model. Therefore, this model can provide a more accurate plasmapause position compared with previous models and can also be used as a basic reference to develop other models such as a global plasmaspheric density model.
WOS关键词17 APRIL 2002 ; SOLAR-WIND ; EARTHS PLASMASPHERE ; ELECTRIC-FIELD ; GEOMAGNETIC-ACTIVITY ; DENSITY DISTRIBUTION ; WHISTLER EVIDENCE ; PREDICTION ; SATELLITE ; DYNAMICS
资助项目Strategic Priority Research Programof Chinese Academy of Sciences[XDA17010201] ; National Science Foundation of China[41674155] ; National Science Foundation of China[41774152] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2017258] ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China[GE2018-01]
WOS研究方向Astronomy & Astrophysics ; Geochemistry & Geophysics ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000503238600001
出版者AMER GEOPHYSICAL UNION
资助机构Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; Strategic Priority Research Programof Chinese Academy of Sciences ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; National Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China ; Key Laboratory of Geospace Environment, Chinese Academy of Sciences, University of Science and Technology of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/95860]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者He, Fei
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Beijing Natl Observ Space Environm, Beijing, Peoples R China
4.China Meteorol Adm, Key Lab Space Weather, Natl Ctr Space Weather, Beijing, Peoples R China
5.Univ Sci & Technol China, Key Lab Geospace Environm, Chinese Acad Sci, Hefei, Anhui, Peoples R China
6.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zheng, Zhi-Qi,Lei, Jiuhou,Yue, Xinan,et al. Development of a 3-D Plasmapause Model With a Back-Propagation Neural Network[J]. SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS,2019,17(12):1689-1703.
APA Zheng, Zhi-Qi,Lei, Jiuhou,Yue, Xinan,Zhang, Xiao-Xin,&He, Fei.(2019).Development of a 3-D Plasmapause Model With a Back-Propagation Neural Network.SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS,17(12),1689-1703.
MLA Zheng, Zhi-Qi,et al."Development of a 3-D Plasmapause Model With a Back-Propagation Neural Network".SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS 17.12(2019):1689-1703.

入库方式: OAI收割

来源:地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。