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An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change

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  • Terje Aven
  • Ortwin Renn

Abstract

Few global threats rival global climate change in scale and potential consequence. The principal international authority assessing climate risk is the Intergovernmental Panel on Climate Change (IPCC). Through repeated assessments the IPCC has devoted considerable effort and interdisciplinary competence to articulating a common characterization of climate risk and uncertainties. We have reviewed the assessment and its foundation for the Fifth Assessment Reports published in 2013 and 2014, in particular the guidance note for lead authors of the fifth IPCC assessment report on consistent treatment of uncertainties. Our analysis shows that the work carried out by the ICPP is short of providing a theoretically and conceptually convincing foundation on the treatment of risk and uncertainties. The main reasons for our assessment are: (i) the concept of risk is given a too narrow definition (a function of consequences and probability/likelihood); and (ii) the reports lack precision in delineating their concepts and methods. The goal of this article is to contribute to improving the handling of uncertainty and risk in future IPCC studies, thereby obtaining a more theoretically substantiated characterization as well as enhanced scientific quality for risk analysis in this area. Several suggestions for how to improve the risk and uncertainty treatment are provided.

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  • Terje Aven & Ortwin Renn, 2015. "An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 701-712, April.
  • Handle: RePEc:wly:riskan:v:35:y:2015:i:4:p:701-712
    DOI: 10.1111/risa.12298
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    References listed on IDEAS

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    3. Scott Janzwood, 2020. "Confident, likely, or both? The implementation of the uncertainty language framework in IPCC special reports," Climatic Change, Springer, vol. 162(3), pages 1655-1675, October.
    4. Emanuele Borgonovo & Alessandra Cillo, 2017. "Deciding with Thresholds: Importance Measures and Value of Information," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1828-1848, October.
    5. 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.
    6. Ivan Villaverde Canosa & James Ford & Jouni Paavola & Daria Burnasheva, 2024. "Community Risk and Resilience to Wildfires: Rethinking the Complex Human–Climate–Fire Relationship in High-Latitude Regions," Sustainability, MDPI, vol. 16(3), pages 1-22, January.
    7. Terje Aven, 2018. "Reflections on the Use of Conceptual Research in Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2415-2423, November.
    8. Anil Markandya & Enrica Cian & Laurent Drouet & Josué M. Polanco-Martínez & Francesco Bosello, 2019. "Building Risk into the Mitigation/Adaptation Decisions simulated by Integrated Assessment Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1687-1721, December.
    9. Aven, Terje, 2018. "How the integration of System 1-System 2 thinking and recent risk perspectives can improve risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 237-244.
    10. Gulsum Kubra Kaya & James Ward & John Clarkson, 2019. "A Review of Risk Matrices Used in Acute Hospitals in England," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1060-1070, May.
    11. Chengguang Lai & Xiaohong Chen & Zhaoli Wang & Haijun Yu & Xiaoyan Bai, 2020. "Flood Risk Assessment and Regionalization from Past and Future Perspectives at Basin Scale," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1399-1417, July.
    12. Aven, Terje, 2018. "Perspectives on the nexus between good risk communication and high scientific risk analysis quality," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 290-296.
    13. Kaya, Gulsum Kubra & Hocaoglu, Mehmet Fatih, 2020. "Semi-quantitative application to the Functional Resonance Analysis Method for supporting safety management in a complex health-care process," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

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