A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density

doi:10.1029/2020GL087140

GSTDTAP > 气候变化

DOI	10.1029/2020GL087140
	A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density
	Weng, Libin 1,2; Lei, Jiuhou 1,3,4; Zhong, Jiahao 5; Dou, Xiankang 1; Fang, Hanxian 2
	2020-03-28
发表期刊	GEOPHYSICAL RESEARCH LETTERS
ISSN	0094-8276
EISSN	1944-8007
出版年	2020
卷号	47 期号:6
文章类型	Article
语种	英语
国家	Peoples R China
英文摘要	In this study, we revisit the long-term trend of thermospheric density by using a Machine-Learning approach. Our Artificial Neural Network Model (ANNM) can better capture the variations in the satellite drag-derived densities than earlier empirical models, especially during extremely solar minimum period of 2007-2009. The long-term trends from ANNM are similar when density data during either 1967-2005 or 1967-2013 intervals are used in the calculation. In addition, our trend estimates relative to the ANNM are -1.5% to -2.0% per decade from 250 to 575 km without obvious solar activity dependence. The Machine-Learning approach provides a good way to give stable long-term trend estimates of thermospheric density.
英文关键词	thermospheric density Long-term trend Artificial Neural Network method solar activity
领域	气候变化
收录类别	SCI-E
WOS记录号	WOS:000529097700036
WOS关键词	UPPER-ATMOSPHERE ; MESOSPHERE ; GASES
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/279818
专题	气候变化
作者单位	1.Univ Sci & Technol China, Sch Earth & Space Sci, CAS Key Lab Geospace Environm, Hefei, Peoples R China; 2.Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing, Peoples R China; 3.Univ Sci & Technol China, CAS Ctr Excellence Comparat Planetol, Hefei, Peoples R China; 4.Univ Sci & Technol China, Mengcheng Natl Geophys Observ, Hefei, Peoples R China; 5.Sun Yat Sen Univ, Sch Atmospher Sci, Planetaty Environm & Astrobiol Res Lab, Huhai, Peoples R China
推荐引用方式 GB/T 7714	Weng, Libin,Lei, Jiuhou,Zhong, Jiahao,et al. A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(6).
APA	Weng, Libin,Lei, Jiuhou,Zhong, Jiahao,Dou, Xiankang,&Fang, Hanxian.(2020).A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density.GEOPHYSICAL RESEARCH LETTERS,47(6).
MLA	Weng, Libin,et al."A Machine-Learning Approach to Derive Long-Term Trends of Thermospheric Density".GEOPHYSICAL RESEARCH LETTERS 47.6(2020).