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

Author

Listed:
  • Marina Baldissera Pacchetti

    (University of Leeds)

  • Suraje Dessai

    (University of Leeds)

  • David A. Stainforth

    (London School of Economics
    University of Warwick)

  • Seamus Bradley

    (University of Leeds)

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.

Suggested Citation

  • Marina Baldissera Pacchetti & Suraje Dessai & David A. Stainforth & Seamus Bradley, 2021. "Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018," Climatic Change, Springer, vol. 168(1), pages 1-25, September.
    • Handle: RePEc:spr:climat:v:168:y:2021:i:1:d:10.1007_s10584-021-03187-w
    DOI: 10.1007/s10584-021-03187-w
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    1. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining probability with qualitative degree-of-certainty metrics in assessment," Post-Print hal-01966704, HAL.
    2. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining probability with qualitative degree-of-certainty metrics in assessment," Climatic Change, Springer, vol. 149(3), pages 517-525, August.
    3. D. A. Stainforth & T. Aina & C. Christensen & M. Collins & N. Faull & D. J. Frame & J. A. Kettleborough & S. Knight & A. Martin & J. M. Murphy & C. Piani & D. Sexton & L. A. Smith & R. A. Spicer & A. , 2005. "Uncertainty in predictions of the climate response to rising levels of greenhouse gases," Nature, Nature, vol. 433(7024), pages 403-406, January.
    4. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining Probability with Qualitative Degree-of-Certainty Metrics in Assessment," Working Papers hal-01933825, HAL.
    5. Thompson, Erica L. & Smith, Leonard A., 2019. "Escape from model-land," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-17.
    6. Theodore G. Shepherd & Emily Boyd & Raphael A. Calel & Sandra C. Chapman & Suraje Dessai & Ioana M. Dima-West & Hayley J. Fowler & Rachel James & Douglas Maraun & Olivia Martius & Catherine A. Senior , 2018. "Storylines: an alternative approach to representing uncertainty in physical aspects of climate change," Climatic Change, Springer, vol. 151(3), pages 555-571, December.
    7. Porter, James J. & Dessai, Suraje, 2017. "Mini-me: Why do climate scientists’ misunderstand users and their needs?," Environmental Science & Policy, Elsevier, vol. 77(C), pages 9-14.
    8. Tanya Fiedler & Andy J. Pitman & Kate Mackenzie & Nick Wood & Christian Jakob & Sarah E. Perkins-Kirkpatrick, 2021. "Business risk and the emergence of climate analytics," Nature Climate Change, Nature, vol. 11(2), pages 87-94, February.
    9. Ram Singh & K. AchutaRao, 2020. "Sensitivity of future climate change and uncertainty over India to performance-based model weighting," Climatic Change, Springer, vol. 160(3), pages 385-406, June.
    10. Helgeson, Casey & Bradley, Richard & Hill, Brian, 2018. "Combining Probability with Qualitative Degree-of-Certainty Metrics in Assessment," HEC Research Papers Series 1298, HEC Paris.
    11. Thompson, Erica L. & Smith, Leonard A., 2019. "Escape from model-land," LSE Research Online Documents on Economics 103310, London School of Economics and Political Science, LSE Library.
    12. Thompson, Erica L. & Smith, Leonard A., 2019. "Escape from model-land," Economics Discussion Papers 2019-23, Kiel Institute for the World Economy (IfW Kiel).
    13. Michael Mastrandrea & Katharine Mach & Gian-Kasper Plattner & Ottmar Edenhofer & Thomas Stocker & Christopher Field & Kristie Ebi & Patrick Matschoss, 2011. "The IPCC AR5 guidance note on consistent treatment of uncertainties: a common approach across the working groups," Climatic Change, Springer, vol. 108(4), pages 675-691, October.
    14. Antony Millner & Raphael Calel & David Stainforth & George MacKerron, 2013. "Do probabilistic expert elicitations capture scientists’ uncertainty about climate change?," Climatic Change, Springer, vol. 116(2), pages 427-436, January.
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    1. Marina Baldissera Pacchetti & Suraje Dessai & James S. Risbey & David A. Stainforth & Erica Thompson, 2024. "Perspectives on the quality of climate information for adaptation decision support," Climatic Change, Springer, vol. 177(11), pages 1-14, November.

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