Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (2): 24-36.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.002

doi: 10.11871/jfdc.issn.2096-742X.2023.02.002

• Special Issue: AI for Science • Previous Articles     Next Articles

Preliminary Study on Paradigm Shift in Space Weather Research Driven by Big Data and Artificial Intelligence

HU Xiaoyan1,2,4(),XU Jiyao1,3,*(),ZOU Ziming1,4,*()   

  1. 1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Key Laboratory of Solar Activity and Space Weather, Beijing 100190, China
    4. Chinese National Space Science Data Center, Beijing 100190, China
  • Received:2023-02-13 Online:2023-04-20 Published:2023-04-24
  • Contact: XU Jiyao,ZOU Ziming;;


[Objective] This paper summarizes the current status of the paradigm shift in space weather research driven by big data and artificial intelligence, and discusses possible future trends. [Methods] This paper analyzes the challenges faced by the traditional research paradigm and the opportunities brought by artificial intelligence in the space weather big data scenario, investigates the relevant strategies and research progress at home and abroad, conducts a deep analysis of typical cases, and summarizes the current status and characteristics of the paradigm shift in space weather research. [Results] AI technologies have been effectively experimented with in a variety of scientific task types in space weather research, improving scientific efficiency, solving big data scenario difficulties, and spurring a research paradigm shift in the field of space weather. [Limitations] This paper focuses on the summarization of important literature and cases and the analysis of the overall trend of future development. In the future, we plan to further study the status through bibliometrics and other methods, and conduct in-depth discussions on the key issues that need to be addressed in future development. [Conclusions] The research in the field of space weather is undergoing a paradigm shift, whereby the convergence of big data, AI, and domain knowledge is expected to lead to a new paradigm

Key words: space weather, big data, artificial intelligence, research paradigm, domain knowledge, AI-ready