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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/gi-2017-49
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
20 Nov 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).
A comparative study of auroral morphology distribution between northern and southern hemispheres based on automatic classification
Qiuju Yang1 and Ze-Jun Hu2 1School of Physics and Information Technology, Shaanxi Normal University, Xi'an, 710119, China
2SOA Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai, 200136, China
Abstract. Aurora is a very important geophysical phenomenon in the high latitude of Arctic and Antarctic regions, and it is significant to make a comparative study of the auroral morphology between the two hemispheres. Based on the morphological characteristics of the four labeled dayside auroral types (include auroral arc, drapery corona, radial corona and hot-spot aurora) on the 8001 dayside auroral images at Chinese Yellow River Station in 2003, and by extracting the local binary pattern (LBP) features and using k-nearest classifier, this paper makes an automatic classification to the 65361 auroral images of the Chinese Yellow River Station during 2004–2009 and the 39335 auroral images of the South Pole Station between 2003–2005, and finally obtains the occurrence distribution of the dayside auroral morphology in northern and southern hemispheres. The statistical results indicate that the four auroral types present similar occurrence distribution between the two stations. To the best of our knowledge, we are the first to report the statistical comparative results of dayside auroral morphology distribution between northern and southern hemispheres.

Citation: Yang, Q. and Hu, Z.-J.: A comparative study of auroral morphology distribution between northern and southern hemispheres based on automatic classification, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2017-49, in review, 2017.
Qiuju Yang and Ze-Jun Hu
Qiuju Yang and Ze-Jun Hu
Qiuju Yang and Ze-Jun Hu

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Short summary
Based on the morphological characteristics of the four dayside auroral types on images at Chinese Yellow River Station (YRS), and by extracting the local binary pattern features and using k-nearest classifier, we makes an automatic classification to the auroral images of the YRS and the South Pole Station, and obtains the occurrence distribution of the dayside aurora morphology. The results indicate that these auroral types present similar occurrence distribution in the two stations.
Based on the morphological characteristics of the four dayside auroral types on images at...
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