Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018

Pacchetti, Marina Baldissera, Dessai, Suraje, Stainforth, David A. ORCID: 0000-0001-6476-733X and Bradley, Seamus (2021) Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018. Climatic Change, 168 (1-2). ISSN 0165-0009

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Abstract

In this paper, we assess the quality of state-of-the-art regional climate information intended to support climate adaptation decision-making. We use the UK Climate Projections 2018 as an example of such information. Their probabilistic, global, and regional land projections exemplify some of the key methodologies that are at the forefront of constructing regional climate information for decision support in adapting to a changing climate. We assess the quality of the evidence and the methodology used to support their statements about future regional climate along six quality dimensions: transparency; theory; independence, number, and comprehensiveness of evidence; and historical empirical adequacy. The assessment produced two major insights. First, a major issue that taints the quality of UKCP18 is the lack of transparency, which is particularly problematic since the information is directed towards non-expert users who would need to develop technical skills to evaluate the quality and epistemic reliability of this information. Second, the probabilistic projections are of lower quality than the global projections because the former lack both transparency and a theory underpinning the method used to produce quantified uncertainty estimates about future climate. The assessment also shows how different dimensions are satisfied depending on the evidence used, the methodology chosen to analyze the evidence, and the type of statements that are constructed in the different strands of UKCP18. This research highlights the importance of knowledge quality assessment of regional climate information that intends to support climate change adaptation decisions.

Item Type:	Article
Official URL:	https://www.springer.com/journal/10584
Additional Information:	© 2021 The Authors
Divisions:	Geography & Environment Grantham Research Institute
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences T Technology > T Technology (General)
Date Deposited:	14 Oct 2021 14:09
Last Modified:	22 Nov 2024 22:36
URI:	http://eprints.lse.ac.uk/id/eprint/112440

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