Development of New Capabilities Using Machine Learning for Space Weather Prediction

作者：LIU Siqing,CHEN Yanhong,LUO Bingxian,CUI Yanmei,ZHONG Qiuzhen,WANG Jingjing,YUAN Tianjiao,HU Qinghua,HUANG Xin,CHEN Hong

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.

发文机构：National Space Science Center Key Laboratory of Science and Technology on Environmental Space Situation Awareness University of Chinese Academy of Sciences School of Computer Science and Technology Key Laboratory of Solar Activity College of Science

关键词：SpaceweatherforecastingMachinelearningDeeplearning

分类号： P353[天文地球—空间物理学]