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Robust climate change research: a review on multi-model analysis
Duan, Hongbo1,2; Zhang, Gupeng3; Wang, Shouyang1,4; Fan, Ying5
2019-03-01
Source PublicationENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
Volume14Issue:3Pages:23
AbstractSignificant differences in key results across the various climate models and integrated assessment models (IAMs) represent a critical challenge to reliable scientific findings and the robust design of climate policies, which leads to an enormous amount of attention and the urgent call for a multi-model study. In this paper, we develop an integrated literature-survey framework by combining the typical content analysis with a simple statistical analysis to systematically examine the developing trends of IAM-based multi-model studies and explore the model-robust climate policy findings; we also conduct an extended analysis to identify the role of a multi-model approach in global warming and other global change research by employing co-citation network analysis. The results reveal that multi-model comparison and ensemble are effective methods to explore reliable scientific findings and yield robust policy conclusions. The current multi-model studies are sparse as a whole, especially for IAM-based climate economic and policy research; future multi-model works, at both the global and regional levels, are therefore promising. We observe that the developed countries (the EU and the US) dominate the current multi-model study, which could be proved by the number of primary IAMs developed, frequency of models adopted, and number of works published. Addressing the risks of global warming relies on reliable scientific research and robust climate policy design, particularly for the developing large emitters, which heavily depends on consistent efforts toward primary model development and comprehensive cooperation with state-of-the-art model teams all over the world.
Keywordmulti-model study robust climate policy integrated assessment model climate models survey
DOI10.1088/1748-9326/aaf8f9
Language英语
Funding ProjectNational Natural Science Foundation of China[71874177] ; National Natural Science Foundation of China[71503242] ; National Natural Science Foundation of China[71690245] ; National Natural Science Foundation of China[71872169]
WOS Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000459251900001
PublisherIOP PUBLISHING LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/32534
Collection系统科学研究所
Affiliation1.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
2.Univ Kansas, Dept Econ, Lawrence, KS 66045 USA
3.Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
5.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
Recommended Citation
GB/T 7714
Duan, Hongbo,Zhang, Gupeng,Wang, Shouyang,et al. Robust climate change research: a review on multi-model analysis[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(3):23.
APA Duan, Hongbo,Zhang, Gupeng,Wang, Shouyang,&Fan, Ying.(2019).Robust climate change research: a review on multi-model analysis.ENVIRONMENTAL RESEARCH LETTERS,14(3),23.
MLA Duan, Hongbo,et al."Robust climate change research: a review on multi-model analysis".ENVIRONMENTAL RESEARCH LETTERS 14.3(2019):23.
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