Quantifying the contribution of an individual to making extreme weather events more likely. (12th October 2021)

• Record Type: Journal Article
• Authors: Lott, Fraser C; Ciavarella, Andrew; Kennedy, John J; King, Andrew D; Stott, Peter A; Tett, Simon F B; Wang, Dongqian
• Is Part Of: Environmental research letters. Volume 16:Number 10(2021)
• Publication Date: 2021-10-12
• Subjects: event attribution -- climate impacts -- loss and damage; Environmental sciences -- Periodicals; Human ecology -- Research -- Periodicals; Environmental health -- Periodicals; 333.7
• DOI: 10.1088/1748-9326/abe9e9
• Languages: English
• ISSNs: 1748-9326

Abstract

Abstract: Probabilistic event attribution aims to quantify the role of anthropogenic climate change in altering the intensity or probability of extreme climate and weather events. It was originally conceived to calculate the costs associated with any increased likelihood of the meteorological event in question. However, only recently have such studies attempted to divide liability between polluting nations and ascribe a cost. Recent protests indicate a perception that older generations have the greater responsibility for climate change. In this paper, we examine how a portion of the cost of an event can be attributed to any individual person, according to their age and nationality. We demonstrate that this is quantitatively feasible using the example of the 2018 summer heatwave in eastern China and its impact on aquaculture. A relatively simple technique finds sample individuals responsible for between 0.53 and 18.10 yuan, increasing with their age and their country's emissions over their adult lifetime since the first international consensus on carbon emissions was reached. This provides an illustration of the scale of such responsibilities, and how it is affected by national development and demographics. Such data can support decisions, at national and international levels, on how to fund recovery from climate impacts. It offers a simple quantitative approach for individuals to know their impact on the climate, or for governments to use in making policy decisions about how best to distribute costs of climate change.