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人工智能在气候研究和服务中的机遇与挑战

陈德亮 谭显春 彭喆 闫洪硕 程永龙

气候变化研究进展2024,Vol.20Issue(6):669-681,13.
气候变化研究进展2024,Vol.20Issue(6):669-681,13.DOI:10.12006/j.issn.1673-1719.2024.158

人工智能在气候研究和服务中的机遇与挑战

Opportunities and challenges of artificial intelligence in climate research and services

陈德亮 1谭显春 2彭喆 3闫洪硕 3程永龙3

作者信息

  • 1. 清华大学地球系统科学系,北京 100084||瑞典哥德堡大学地球科学系,哥德堡 405 30,瑞典
  • 2. 中国科学院科技战略咨询研究院,北京 100190||中国科学院大学公共政策与管理学院,北京 100049||中国科学院科技战略咨询研究院碳中和战略研究中心,北京 100190||重庆大学智能社会治理研究院,重庆 400044
  • 3. 中国科学院科技战略咨询研究院,北京 100190||中国科学院大学公共政策与管理学院,北京 100049||中国科学院科技战略咨询研究院碳中和战略研究中心,北京 100190
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摘要

Abstract

Climate change is a serious challenge to natural ecology and human society.As an important tool for addressing climate change,climate models provide important support for understanding the mechanism of the past climate system,climate services and projections of future global change scenarios.However,problems in process representation,subgrid parameterization and spatial resolution of climate models have severely limited their simulation and prediction capabilities.With the development of economy and society,artificial intelligence(AI)technology has been widely used,and its advantages of integrating multi-source data,identifying potential information,and learning from existing"experience"are expected to provide new assistance for climate research and application.Against this background,this paper firstly provides a concise review of the development of climate models,then combines the characteristics of AI on this basis to examine the application of AI in climate research and services,and analyzes the challenges faced at this stage.The results show that existing observational data and model outputs can provide a sufficient data base for AI applications,and AI can optimize and integrate climate models accordingly,thus improving the accuracy of climate simulation and prediction results.In the future,it is important to focus on the coupling of AI and climate models and to expand the application of AI in various areas of climate change,so as to more effectively address the challenges posed by global climate change.

关键词

气候模式/人工智能/气候变化

Key words

Climate models/Artificial intelligence/Climate change

引用本文复制引用

陈德亮,谭显春,彭喆,闫洪硕,程永龙..人工智能在气候研究和服务中的机遇与挑战[J].气候变化研究进展,2024,20(6):669-681,13.

基金项目

国家自然科学基金专项项目"面向碳中和的国家气候治理体系变革与创新研究"(72140007) (72140007)

气候变化研究进展

OA北大核心CSTPCD

1673-1719

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