Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL075873 |
Predicting Electron Population Characteristics in 2-D Using Multispectral Ground-Based Imaging | |
Grubbs, Guy1,2; Michell, Robert2,3; Samara, Marilia2; Hampton, Donald4; Jahn, Jorg-Micha5,6 | |
2018-01-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:1页码:15-20 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Ground-based imaging and in situ sounding rocket data are compared to electron transport modeling for an active inverted-V type auroral event. The Ground-to-Rocket Electrodynamics-Electrons Correlative Experiment (GREECE) mission successfully launched from Poker Flat, Alaska, on 3 March 2014 at 11:09:50 UT and reached an apogee of approximately 335km over the aurora. Multiple ground-based electron-multiplying charge-coupled device (EMCCD) imagers were positioned at Venetie, Alaska, and aimed toward magnetic zenith. The imagers observed the intensity of different auroral emission lines (427.8, 557.7, and 844.6 nm) at the magnetic foot point of the rocket payload. Emission line intensity data are correlated with electron characteristics measured by the GREECE onboard electron spectrometer. A modified version of the GLobal airglOW (GLOW) model is used to estimate precipitating electron characteristics based on optical emissions. GLOW predicted the electron population characteristics with 20% error given the observed spectral intensities within 10 degrees of magnetic zenith. Predictions are within 30% of the actual values within 20 degrees of magnetic zenith for inverted-V-type aurora. Therefore, it is argued that this technique can be used, at least in certain types of aurora, such as the inverted-V type presented here, to derive 2-D maps of electron characteristics. These can then be used to further derive 2-D maps of ionospheric parameters as a function of time, based solely on multispectral optical imaging data. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423431800002 |
WOS关键词 | ENERGY DEPOSITION ; EMISSIONS ; TRANSPORT ; MODEL ; PRECIPITATION ; SPECTROMETER ; IONOSPHERE ; EXCITATION ; AURORA ; FLUX |
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/28197 |
专题 | 气候变化 |
作者单位 | 1.Catholic Univ Amer, Dept Phys, Washington, DC 20064 USA; 2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 3.Univ Maryland, Dept Astron, College Pk, MD 20742 USA; 4.Univ Alaska Fairbanks, Inst Geophys, Fairbanks, AK 99775 USA; 5.Univ Texas San Antonio, Dept Phys & Astron, San Antonio, TX USA; 6.Southwest Res Inst, Space Sci & Engn, San Antonio, TX USA |
推荐引用方式 GB/T 7714 | Grubbs, Guy,Michell, Robert,Samara, Marilia,et al. Predicting Electron Population Characteristics in 2-D Using Multispectral Ground-Based Imaging[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(1):15-20. |
APA | Grubbs, Guy,Michell, Robert,Samara, Marilia,Hampton, Donald,&Jahn, Jorg-Micha.(2018).Predicting Electron Population Characteristics in 2-D Using Multispectral Ground-Based Imaging.GEOPHYSICAL RESEARCH LETTERS,45(1),15-20. |
MLA | Grubbs, Guy,et al."Predicting Electron Population Characteristics in 2-D Using Multispectral Ground-Based Imaging".GEOPHYSICAL RESEARCH LETTERS 45.1(2018):15-20. |
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