Automatic Identification of Auroral Substorms Based on Ultraviolet Spectrographic Imager Aboard Defense Meteorological Satellite Program (DMSP) Satellite

Author:

Hu Ze-Jun12ORCID,Lian Hui-Fang13,Zhao Bai-Ru13,Han Bing3,Zhang Yi-Sheng4

Affiliation:

1. MNR Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China

2. Ocean College, Zhejiang University, Zhoushan 316021, China

3. School of Electronic Engineering, Xidian University, Xi’an 710071, China

4. Beijing Institute of Applied Meteorology, Beijing 100029, China

Abstract

An auroral substorm is an important physical process of energy accumulation and explosive release in the Earth’s magnetosphere, and is an important research object of space environment monitoring and space weather warnings. A westward traveling surge (WTS) is a typical auroral physical process of an auroral substorm. Its static characteristic is auroral folding at the polar boundary of an auroral oval and its dynamic characteristic is the westward motion of auroral folding. According to the static characteristic of a WTS, we defined a set of feature parameters based on the morphology and designed a set of automatic detection and discrimination methods; that is, the WTS was identified by using the extracted features and pattern recognition approaches. This approach was tested by using the aurora data of the ultraviolet auroral spectral imager of the Defense Meteorological Satellite Program (DMSP) satellite. The results showed that the accuracy rate of automatic recognition was 61.39%~63.61% and the precision rate was 55.52%~57.92%. The experimental results showed that the approach was effective at detecting the typical characteristics of an auroral substorm (WTS).

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Chinese Academy of Sciences

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference36 articles.

1. Energy Budget in the Coupling Processes of the Solar Wind, Magnetosphere and Ionosphere;Xu;Chin. J. Space Sci.,2011

2. Relation between the variation of geomagnetospheric relativistic electron flux and storm/substorm;Li;Chin. J. Geophys.,2006

3. Aurora image search with contextual CNN feature;Yang;Neurocomputing,2018

4. Manifestation of the AE index in substorms on 6 August 1998;Wang;Chin. J. Geophys.,2009

5. Substorm onset identification using neural networks and Pi2 pulsations;Sutcliffe;Ann. Geophys.,1997

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