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

• Published in: Remote Sensing
• Main Authors: Wanqiu Kong, Zejun Hu, Jiaji Wu, Tan Qu, Gwanggil Jeon
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2020
• Subjects: aurora; atmospheric electron transport; auroral energy; hyperspectral data; DMSP SSJ5; Science; Q; Zhongshan; Zhongshan Station; Antarc*; Antarctica
• Online Access: https://doi.org/10.3390/rs12142259; https://doaj.org/article/9e14c8cb9b174e9ebc6f1657776d01a5

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.