| Development of New Capabilities Using Machine Learning for Space Weather Prediction |
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| 作者姓名： | LIU Siqing CHEN Yanhong LUO Bingxian CUI Yanmei ZHONG Qiuzhen WANG Jingjing YUAN Tianjiao HU Qinghua HUANG Xin CHEN Hong |
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| 作者单位： | 1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190; |
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| 基金项目： | Supported by National Natural Science Foundation of China (41574181) |
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| 摘 要： | With the development of space exploration and space environment measurements, the numerous observations of solar, solar wind, and near Earth space environment have been obtained in last 20 years. The accumulation of multiple data makes it possible to better use machine learning technique, which has achieved unforeseen results in industrial applications in last decades, for developing new approaches and models in space weather investigation and prediction. In this paper, the efforts on the forecasting methods for space weather indices, events, and parameters using machine learning are briefly introduced based on the study works in recent years. These investigations indicate that machine learning, especially deep learning technique can be used in automatic characteristic identification, solar eruption prediction, space weather forecasting for solar and geomagnetic indices, and modeling of space environment parameters.
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| 关 键 词： | Space weather forecasting Machine learning Deep learning |
| 收稿时间： | 2020-03-15 |
Development of New Capabilities Using Machine Learning for Space Weather Prediction |
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| LIU Siqing,CHEN Yanhong,LUO Bingxian,CUI Yanmei,ZHONG Qiuzhen,WANG Jingjing,YUAN Tianjiao,HU Qinghua,HUANG Xin,CHEN Hong.Development of New Capabilities Using Machine Learning for Space Weather Prediction[J].Chinese Journal of Space Science,2020,40(5):875-883. |
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| Institution: | National Space Science Center, Chinese Academy of Sciences, Beijing 100190;Key Laboratory of Science and Technology on Environmental Space Situation Awareness,Chinese Academy of Sciences, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049;National Space Science Center, Chinese Academy of Sciences, Beijing 100190;Key Laboratory of Science and Technology on Environmental Space Situation Awareness,Chinese Academy of Sciences, Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049;School of Computer Science and Technology, Tianjin University, Tianjin 300072;School of Computer Science and Technology, Tianjin University, Tianjin 300072;Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing 100101;Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing 100101;College of Science, Huazhong Agricultural University, Wuhan 430070 |
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| Abstract: | With the development of space exploration and space environment measurements, the numerous observations of solar, solar wind, and near Earth space environment have been obtained in last 20 years. The accumulation of multiple data makes it possible to better use machine learning technique, which has achieved unforeseen results in industrial applications in last decades, for developing new approaches and models in space weather investigation and prediction. In this paper, the efforts on the forecasting methods for space weather indices, events, and parameters using machine learning are briefly introduced based on the study works in recent years. These investigations indicate that machine learning, especially deep learning technique can be used in automatic characteristic identification, solar eruption prediction, space weather forecasting for solar and geomagnetic indices, and modeling of space environment parameters. |
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