Climate change attribution and legal contexts: evidence and the role of storylines

Lloyd, E. A. and Shepherd, T. G. ORCID: https://orcid.org/0000-0002-6631-9968 (2021) Climate change attribution and legal contexts: evidence and the role of storylines. Climatic Change, 167. 28. ISSN 0165-0009 doi: 10.1007/s10584-021-03177-y

Abstract/Summary

In a recent very influential court case, Juliana v. United States, climate scientist Kevin Trenberth used the ‘storyline’ approach to extreme event attribution to argue that greenhouse warming had affected and will affect extreme events in their regions to such an extent that the plaintiffs already had been or will be harmed. The storyline approach to attribution is deterministic rather than probabilistic, taking certain factors as contingent and assessing the role of climate change conditional on those factors. The US Government’s opposing expert witness argued that Trenberth had failed to make his case because “all his conclusions of the injuries to Plaintiffs suffer from the same failure to connect his conditional approach to Plaintiffs’ local circumstances.” The issue is whether it is possible to make statements about individual events based on general knowledge. A similar question is sometimes debated within the climate science community. We argue here that proceeding from the general to the specific is a process of deduction and is an entirely legitimate form of scientific reasoning. We further argue that it is well aligned with the concept of legal evidence, much more so than the more usual inductive form of scientific reasoning, which proceeds from the specific to the general. This has implications for how attribution science can be used to support climate change litigation. “The question is”, said Alice, “whether you can make words mean different things.” “The question is”, said Humpty Dumpty, “which is to be master — that’s all.” (Lewis Carroll, Alice’s Adventures in Wonderland)

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/99303
Identification Number/DOI	10.1007/s10584-021-03177-y
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Springer
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