在政府间气候变化专门委员会的综合过程中低估人口的不确定性

Sara Giarola, Leonardo Chiani, Laurent Drouet, Giacomo Marangoni, Francesco Nappo, Raya Muttarak, Massimo Tavoni
{"title":"在政府间气候变化专门委员会的综合过程中低估人口的不确定性","authors":"Sara Giarola, Leonardo Chiani, Laurent Drouet, Giacomo Marangoni, Francesco Nappo, Raya Muttarak, Massimo Tavoni","doi":"10.1038/s44168-024-00152-y","DOIUrl":null,"url":null,"abstract":"In this work, we systematically analyse the population projections used in the emissions scenario ensembles reviewed by the Working Group III in the latest three reports of the Intergovernmental Panel on Climate Change (IPCC). We show that emissions scenarios span smaller demographic uncertainties than alternative estimates both for the world and for critical regions, such as South-East Asia, Sub-Saharan Africa, and China. Furthermore, the range of demographic projections has consistently shrunk over subsequent reports, exposing a problematic convergence towards a single socio-economic pathway: the “middle path” or SSP2. We argue that the undersampling of population uncertainties limits the range of future emission trajectories and has implications for climate transition scenarios. Emissions scenarios with a wider set of assumptions about future population should be submitted to the IPCC. The methods utilised in this study inform the development of independent audit methods for the assessment of relevant uncertainty sources in IPCC databases.","PeriodicalId":186004,"journal":{"name":"npj Climate Action","volume":" ","pages":"1-20"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44168-024-00152-y.pdf","citationCount":"0","resultStr":"{\"title\":\"Underestimating demographic uncertainties in the synthesis process of the IPCC\",\"authors\":\"Sara Giarola, Leonardo Chiani, Laurent Drouet, Giacomo Marangoni, Francesco Nappo, Raya Muttarak, Massimo Tavoni\",\"doi\":\"10.1038/s44168-024-00152-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we systematically analyse the population projections used in the emissions scenario ensembles reviewed by the Working Group III in the latest three reports of the Intergovernmental Panel on Climate Change (IPCC). We show that emissions scenarios span smaller demographic uncertainties than alternative estimates both for the world and for critical regions, such as South-East Asia, Sub-Saharan Africa, and China. Furthermore, the range of demographic projections has consistently shrunk over subsequent reports, exposing a problematic convergence towards a single socio-economic pathway: the “middle path” or SSP2. We argue that the undersampling of population uncertainties limits the range of future emission trajectories and has implications for climate transition scenarios. Emissions scenarios with a wider set of assumptions about future population should be submitted to the IPCC. The methods utilised in this study inform the development of independent audit methods for the assessment of relevant uncertainty sources in IPCC databases.\",\"PeriodicalId\":186004,\"journal\":{\"name\":\"npj Climate Action\",\"volume\":\" \",\"pages\":\"1-20\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.com/articles/s44168-024-00152-y.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Climate Action\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44168-024-00152-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate Action","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44168-024-00152-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在这项工作中,我们系统地分析了政府间气候变化专门委员会(IPCC)第三工作组在最近三份报告中审查的排放情景组合中使用的人口预测。我们发现,无论是对全球还是对东南亚、撒哈拉以南非洲和中国等关键地区,排放情景的人口不确定性都小于其他估计值。此外,在随后的报告中,人口预测的范围持续缩小,暴露出向单一社会经济路径趋同的问题:"中间路径 "或 SSP2。我们认为,人口不确定性的取样不足限制了未来排放轨迹的范围,并对气候过渡情景产生了影响。应向 IPCC 提交具有更广泛未来人口假设的排放情景。本研究采用的方法为开发独立审计方法提供了信息,用于评估 IPCC 数据库中的相关不确定性来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Underestimating demographic uncertainties in the synthesis process of the IPCC

Underestimating demographic uncertainties in the synthesis process of the IPCC
In this work, we systematically analyse the population projections used in the emissions scenario ensembles reviewed by the Working Group III in the latest three reports of the Intergovernmental Panel on Climate Change (IPCC). We show that emissions scenarios span smaller demographic uncertainties than alternative estimates both for the world and for critical regions, such as South-East Asia, Sub-Saharan Africa, and China. Furthermore, the range of demographic projections has consistently shrunk over subsequent reports, exposing a problematic convergence towards a single socio-economic pathway: the “middle path” or SSP2. We argue that the undersampling of population uncertainties limits the range of future emission trajectories and has implications for climate transition scenarios. Emissions scenarios with a wider set of assumptions about future population should be submitted to the IPCC. The methods utilised in this study inform the development of independent audit methods for the assessment of relevant uncertainty sources in IPCC databases.
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:481959085
Book学术官方微信