“大数据&人工智能”驱动的空间天气科研范式变革初步探索

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

【目的】总结大数据与人工智能驱动的空间天气科研范式变革现状,并探讨可能的未来发展趋势。【方法】本文分析了空间天气大数据场景下传统科研模式面临的挑战和人工智能技术带来的机遇,广泛调研了国内外相关战略规划和研究进展,并对典型应用案例进行深入分析,归纳总结了领域科研范式变革现状与特点。【结果】人工智能技术在空间天气领域的多种科学任务类型中均得到了有效尝试,提升了科研效率,解决了大数据场景困难,空间天气领域已呈现科研范式变革的萌芽。【局限】本文侧重于对重要文献和案例的归纳和未来发展整体趋势的分析,未来希望通过文献计量学等方法对现状进行进一步研究,并针对未来发展中需解决的关键问题进行深入探讨。【结论】空间天气领域科研范式正在发生变革,大数据、人工智能与领域知识的融合有望形成新范式。

[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.