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Open AccessArticle

A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data

by 1,2,3, 2,*, 1, 1 and 1,4
1
School of Electronic Engineering, Xidian University, Xi’an 710071, China
2
MNR Key Laboratory of Polar Science, Polar Research Institute of China, Shanghai 200136, China
3
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
4
Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(14), 2259; https://doi.org/10.3390/rs12142259
Received: 19 June 2020 / Revised: 12 July 2020 / Accepted: 13 July 2020 / Published: 14 July 2020
(This article belongs to the Section Atmosphere Remote Sensing)
Aurora, the spectacular phenomenon commonly occurring in high latitudes, is caused by the precipitation of energetic particles penetrating the Earth’s atmosphere. Being the result of solar-terrestrial interactions, electron precipitation significantly contributes to auroral production. To evaluate its magnitude, a physical quantity describing the characteristics of precipitating auroral electrons—their characteristic energy—is adopted. In this paper, this quantity is derived from joint data observed by the ground-based auroral spectroscopic imager located in Antarctica Zhongshan Station and the particle detectors “Special Sensor J5 (SSJ5)” on the Defense Meteorological Satellite Program (DMSP) satellites. A postprocessing scheme of ground-based spectral data is proposed to infer the characteristic energy that successively uses classical brute-force, recursive brute-force and self-consistent approximation strategies for step-up speed improvement. Then, the inferred characteristic energies are compared to the average energies calibrated from the relevant electron data detected by SSJ5 to confirm whether this inference is valid. Regarding DMSP F18/SSJ5, these two energy estimations about auroral electrons deviate slightly from each other and show a strong linear relationship. It sheds light on further applications of the valuable aurora spectral data. View Full-Text
Keywords: aurora; atmospheric electron transport; auroral energy; hyperspectral data; DMSP SSJ5 aurora; atmospheric electron transport; auroral energy; hyperspectral data; DMSP SSJ5
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MDPI and ACS Style

Kong, W.; Hu, Z.; Wu, J.; Qu, T.; Jeon, G. A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data. Remote Sens. 2020, 12, 2259. https://doi.org/10.3390/rs12142259

AMA Style

Kong W, Hu Z, Wu J, Qu T, Jeon G. A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data. Remote Sensing. 2020; 12(14):2259. https://doi.org/10.3390/rs12142259

Chicago/Turabian Style

Kong, Wanqiu; Hu, Zejun; Wu, Jiaji; Qu, Tan; Jeon, Gwanggil. 2020. "A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data" Remote Sens. 12, no. 14: 2259. https://doi.org/10.3390/rs12142259

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