经验约束的气候敏感性和碳的社会成本

Kevin D. Dayaratna, R. McKitrick, D. Kreutzer
{"title":"经验约束的气候敏感性和碳的社会成本","authors":"Kevin D. Dayaratna, R. McKitrick, D. Kreutzer","doi":"10.2139/ssrn.2759505","DOIUrl":null,"url":null,"abstract":"Integrated Assessment Models (IAMs) require parameterization of both economic and climatic processes. The latter includes Equilibrium Climate Sensitivity (ECS), or the temperature response to doubling CO2 levels, and Ocean Heat Uptake (OHU) efficiency. ECS distributions in IAMs have been drawn from climate model runs that lack an empirical basis,and in Monte Carlo experiments may not be constrained to consistent OHU values. EmpiricalECS estimates are now available, but have not yet been applied in IAMs. We incorporate a new estimate of the ECS distribution conditioned on observed OHU efficiency into two widely-used IAMs. The resulting Social Cost of Carbon (SCC) estimates are much lower than those from models based on simulated parameters. In the DICE model the average SCC falls by 30-50% depending on the discount rate, while in the FUND model the average SCC falls by over 80%. The span of estimates across discount rates also shrinks substantially","PeriodicalId":157380,"journal":{"name":"Environmental Anthropology eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Empirically-Constrained Climate Sensitivity and the Social Cost of Carbon\",\"authors\":\"Kevin D. Dayaratna, R. McKitrick, D. Kreutzer\",\"doi\":\"10.2139/ssrn.2759505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrated Assessment Models (IAMs) require parameterization of both economic and climatic processes. The latter includes Equilibrium Climate Sensitivity (ECS), or the temperature response to doubling CO2 levels, and Ocean Heat Uptake (OHU) efficiency. ECS distributions in IAMs have been drawn from climate model runs that lack an empirical basis,and in Monte Carlo experiments may not be constrained to consistent OHU values. EmpiricalECS estimates are now available, but have not yet been applied in IAMs. We incorporate a new estimate of the ECS distribution conditioned on observed OHU efficiency into two widely-used IAMs. The resulting Social Cost of Carbon (SCC) estimates are much lower than those from models based on simulated parameters. In the DICE model the average SCC falls by 30-50% depending on the discount rate, while in the FUND model the average SCC falls by over 80%. The span of estimates across discount rates also shrinks substantially\",\"PeriodicalId\":157380,\"journal\":{\"name\":\"Environmental Anthropology eJournal\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Anthropology eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2759505\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Anthropology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2759505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

综合评估模式(IAMs)需要对经济和气候过程进行参数化。后者包括平衡气候敏感性(ECS),或二氧化碳水平加倍时的温度响应,以及海洋热吸收(OHU)效率。IAMs中的ECS分布是从缺乏经验基础的气候模式运行中得出的,并且在蒙特卡罗实验中可能不受一致OHU值的约束。经验性ecs估计现在是可用的,但尚未在iam中应用。我们在两个广泛使用的IAMs中纳入了基于观察到的OHU效率的ECS分布的新估计。由此得出的碳社会成本(SCC)估计值远低于基于模拟参数的模型的估计值。在DICE模型中,平均SCC根据贴现率下降了30-50%,而在FUND模型中,平均SCC下降了80%以上。贴现率的估计范围也大大缩小
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirically-Constrained Climate Sensitivity and the Social Cost of Carbon
Integrated Assessment Models (IAMs) require parameterization of both economic and climatic processes. The latter includes Equilibrium Climate Sensitivity (ECS), or the temperature response to doubling CO2 levels, and Ocean Heat Uptake (OHU) efficiency. ECS distributions in IAMs have been drawn from climate model runs that lack an empirical basis,and in Monte Carlo experiments may not be constrained to consistent OHU values. EmpiricalECS estimates are now available, but have not yet been applied in IAMs. We incorporate a new estimate of the ECS distribution conditioned on observed OHU efficiency into two widely-used IAMs. The resulting Social Cost of Carbon (SCC) estimates are much lower than those from models based on simulated parameters. In the DICE model the average SCC falls by 30-50% depending on the discount rate, while in the FUND model the average SCC falls by over 80%. The span of estimates across discount rates also shrinks substantially
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信