Prediction and variation of the auroral oval boundary based on a deep learning model and space physical parameters

Han, Yiyuan; Han, Bing; Hu, Zejun; Gao, Xinbo; Zhang, Lixia; Yang, Huigen; Li, Bin

doi:https://doi.org/10.5194/npg-27-11-2020

Articles | Volume 27, issue 1

https://doi.org/10.5194/npg-27-11-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-27-11-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 1

Research article

|

03 Feb 2020

Research article |

| 03 Feb 2020

Prediction and variation of the auroral oval boundary based on a deep learning model and space physical parameters

Yiyuan Han, Bing Han, Zejun Hu, Xinbo Gao, Lixia Zhang, Huigen Yang, and Bin Li

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Cited articles

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Carbary, J. F.: A Kp-based model of auroral boundaries, Space Weather, 3, S10001, https://doi.org/10.1029/2005SW000162, 2005.

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Cho, J. S., Lee, D. Y., Kim, K. C., and Lee, J. H.: Response of the poleward boundary of the nightside auroral oval to impacts of solar wind dynamic pressure enhancement, J. Astron. Space Sci., 27, 189–194, https://doi.org/10.5140/JASS.2010.27.3.189, 2010.