G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Modeling Uncertainty in Climate Change: A Multi-Model Comparison
Kenneth Gillingham; William Nordhaus; David Anthoff; Valentina Bosetti; Haewon McJeon; Geoffrey Blanford; Peter Christensen; John Reilly; Paul Sztorc
发表日期2016
出处Mitigation, Innovation and Transformation Pathways
出版年2016
语种英语
摘要This FEEM working paper by researcher Valentina Bosetti et al. presents the results of the first comprehensive study on the key uncertainty drivers for climate change when looking at 2100 temperatures and 2100 emissions. “The study shows that uncertainty surrounding parameters may be more important than uncertainty in model structure. The resulting distributions also provide insights on tail events, i.e. low probability and extreme consequences scenarios." *** Suggested citation: Gillingham, K., W. Nordhaus, D. Anthoff, V. Bosetti, H. McJeon, G. Blanford, P. Christensen, J. Reilly, P. Sztorc, (2018), 'Modeling Uncertainty in Integrated Assessment of Climate Change: A Multimodel Comparison', Journal of the Association of Environmental and Resource Economists 5, no. 4 (October 2018): 791-826. https://doi.org/10.1086/698910
特色分类Q540
关键词Climate Change Integrated Assessment Models
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/modeling-uncertainty-in-climate-change-a-multi-model-comparison/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/118466
推荐引用方式
GB/T 7714
Kenneth Gillingham,William Nordhaus,David Anthoff,et al. Modeling Uncertainty in Climate Change: A Multi-Model Comparison. 2016.
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