globalchange  > 气候减缓与适应
DOI: 10.1002/2017JA025026
Scopus记录号: 2-s2.0-85041234348
论文题名:
A Comparative Study of Spectral Auroral Intensity Predictions From Multiple Electron Transport Models
作者: Grubbs G.; II; Michell R.; Samara M.; Hampton D.; Hecht J.; Solomon S.; Jahn J.-M.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期:1
起始页码: 993
结束页码: 1005
语种: 英语
英文关键词: aurora ; chemical reactions ; electron transport model ; ionosphere thermosphere model
英文摘要: It is important to routinely examine and update models used to predict auroral emissions resulting from precipitating electrons in Earth's magnetotail. These models are commonly used to invert spectral auroral ground-based images to infer characteristics about incident electron populations when in situ measurements are unavailable. In this work, we examine and compare auroral emission intensities predicted by three commonly used electron transport models using varying electron population characteristics. We then compare model predictions to same-volume in situ electron measurements and ground-based imaging to qualitatively examine modeling prediction error. Initial comparisons showed differences in predictions by the GLobal airglOW (GLOW) model and the other transport models examined. Chemical reaction rates and radiative rates in GLOW were updated using recent publications, and predictions showed better agreement with the other models and the same-volume data, stressing that these rates are important to consider when modeling auroral processes. Predictions by each model exhibit similar behavior for varying atmospheric constants, energies, and energy fluxes. Same-volume electron data and images are highly correlated with predictions by each model, showing that these models can be used to accurately derive electron characteristics and ionospheric parameters based solely on multispectral optical imaging data. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114834
Appears in Collections:气候减缓与适应

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作者单位: Department of Physics and Astronomy, University of Texas at San Antonio, San Antonio, TX, United States; Space Science and Engineering, Southwest Research Institute, San Antonio, TX, United States; Department of Physics, Catholic University of America, Washington, DC, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Astronomy, University of Maryland, College Park, MD, United States; Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, United States; Space and Environment Technology Center, The Aerospace Corporation, Los Angeles, CA, United States; National Center for Atmospheric Research, University Corporation for Atmospheric Research, Boulder, CO, United States

Recommended Citation:
Grubbs G.,II,Michell R.,et al. A Comparative Study of Spectral Auroral Intensity Predictions From Multiple Electron Transport Models[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(1)
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