ESD Ideas: a simple proposal to improve the contribution of IPCC WGI to the assessment and communication of climate change risks
- National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, RG6 6BB, UK
Correspondence: Rowan T. Sutton (firstname.lastname@example.org)
The purpose of the Intergovernmental Panel on Climate Change (IPCC) is to provide policy-relevant assessments of the scientific evidence about climate change. Policymaking necessarily involves risk assessments, so it is important that IPCC reports are designed accordingly. This paper proposes a specific idea, illustrated with examples, to improve the contribution of IPCC Working Group I to informing climate risk assessments.
The process of drafting the Working Group I (WGI) contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6) began recently with the first lead author meeting held in Guangzhou, China, in June 2018. An issue that merits greater attention than in previous WGI reports is the assessment and communication of risk. It is now widely accepted that it is appropriate – and necessary for decision-making – to frame climate change as a problem in risk assessment and risk management (King et al., 2015; Weaver et al., 2017). In the AR5 greater use was made than in previous assessment reports of a formal risk assessment framework which spans the dimensions of hazard, exposure and vulnerability (IPCC, 2014). However, risk framing had little influence on the WGI report, and this should be addressed in AR6.
A common measure of risk is likelihood × impact (Fig. 1). It is standard practice in risk assessment to highlight both the most likely impacts and low-likelihood high-impact scenarios. Such scenarios merit specific attention because the associated costs can be extremely high, so decision makers need to know about them. It follows that WGI has a responsibility to assess and explicitly communicate the scientific evidence concerning potential high-impact scenarios, even when the likelihood of occurrence is assessed to be small. In past reports the assessment of key parameters by WGI has focussed overwhelmingly on likely ranges only. When information has been provided about the tails of distributions only likelihoods have been communicated using terms – following the IPCC's uncertainty guidance (Mastrandrea et al., 2010) – such as “very unlikely” or “extremely unlikely”: a clear steer that policymakers should largely ignore such possibilities. But this is wrong. Policymakers care about risk, not likelihood alone. The IPCC's uncertainty guidance is valuable, but by itself it is insufficient to guide the assessment of risk. In particular, the focus on likelihood terminology that is symmetric with respect to high- and low-impact scenarios downplays the importance of low-likelihood high-impact risks (Fig. 1).
I suggest the WGI authors should agree on a modest number of key parameters for which an assessed physically plausible high-impact scenario (PPHIS) or storyline (e.g. Zappa and Shepherd, 2017) can be provided. This should be done for core parameters such as climate sensitivity and TCRE (the transient climate response to cumulative carbon emissions: Allen et al., 2009; Matthews et al., 2009) and could also be done for some large-scale impact-relevant metrics (informed by WGII), such as the magnitude of increases in extreme rainfall. There will be a need to agree on consistent procedures for the definition, description and use of such storylines; for example, they could be associated with a specific assessed likelihood, and their characterisation should emphasise physical constraints and evidence, not model results alone. This will be helped by a growing literature on which to draw (e.g. Hazeleger et al., 2015; Zappa and Shepherd, 2017). Physically based high-impact storylines are distinct from socioeconomic scenarios, but the WGI report could usefully provide information on outcomes that could arise from a combination of e.g. high climate sensitivity and a high-emissions scenario.
WGI could adopt a practical definition of a physically plausible high-impact scenario (PPHIS) along the following lines:
an assessed physically based storyline for specific aspects of future climate change that is consistent with all available evidence and would result in impacts that are substantially greater than those implied by the relevant likely range.
The characterisation of each PPHIS should include (1) an assessment of likelihood and (2) an assessment of impact explicitly framed in conditional terms (i.e. conditional on the PPHIS being realised in the real world), with separate assessed confidence levels for each of these two components. This approach is in line with the IPCC uncertainty guidelines (Mastrandrea et al., 2010), which state the following: “For findings (effects) that are conditional on other findings (causes) … [author teams should] consider independently evaluating the degrees of certainty in both causes and effects, with the understanding that the degree of certainty in the causes may be low.”
With regard to likelihood, I propose that WGI should base PPHIS on scenarios that are assessed to be very unlikely (0 %–10 %) rather than extremely unlikely (0 %–5 %) or exceptionally unlikely (0 %–1 %). In the context of deep uncertainty, attempts to quantify the likelihood of a PPHIS more precisely are unlikely to be fruitful and are not necessary to provide information that is useful for risk assessment (see e.g. http://www.deepuncertainty.org, 27 September 2018). Information about impacts should be limited in WGI to physical climate variables but should be quantitative where possible and include an assessed confidence level. WGII could make use of the WGI PPHIS to provide further information about impacts; this would help with coordination between the working group reports and the production of the AR6 Synthesis Report.
Potential abrupt changes have long been recognised as an important risk-relevant issue for IPCC WGI to assess (e.g. Sect. 12.5.5 in Collins et al., 2013). However, abrupt changes are only a subset – and not obviously the most important subset – of PPHIS. It is notable that hardly any information about abrupt changes was included in the AR5 WGI Summary for Policymakers, and where information was included (e.g. for the Atlantic Meridional Overturning Circulation, Sect. E.4 in IPCC, 2013), it addressed likelihood only with little or no information provided about impact.
Below are three examples of how PPHIS could be used by WGI, adapted from the WGI AR5 Summary for Policymakers. In these examples all the information used can be found somewhere within the AR5 report, but the synthesis and communication (including framing) of this information is different.
ECS. It is very unlikely that ECS is greater than 6 ∘C (medium confidence) but this value may be considered a physically plausible high-impact scenario (PPHIS). If realised, such a value for ECS would very likely result in an increase in global mean temperature by 2100 well above 2 ∘C relative to 1850–1900 under all RCP scenarios except RCP2.6 (high confidence).
Sea level. A partial collapse of the marine-based sectors of the Antarctic ice sheet is considered unlikely during the 21st century (medium confidence). However, if realised this PPHIS could cause an additional contribution to sea level rise of up to several tenths of a metre during the 21st century (medium confidence).
Atlantic Meridional Overturning Circulation (AMOC). It is very unlikely that the AMOC will undergo an abrupt transition or collapse in the 21st century for the scenarios considered (medium confidence). However, if it did occur such a transition would have very large rapid (decadal timescale) impacts on the regional climate of the North Atlantic and surrounding continents (high confidence) and substantial impacts on the climate of regions further afield (medium confidence). (More quantitative information on impacts could and should be provided.)
Some will argue that the WGII report is needed to provide information on impacts. For detailed information this is certainly the case, but the general shape of the damage function for a large basket of impacts (Fig. 1) is insensitive to such details and is all that is needed to justify WGI providing a much more thorough assessment of relevant scenarios. Other critics will suggest that for WGI to explicitly identify high-impact scenarios would constitute scaremongering; this concern is no doubt one reason why previous WGI reports have focussed so much on the likely range. But it is misguided (see also Emanuel, 2014). Policymakers need to know about high-impact scenarios and WGI has a responsibility to contribute its considerable expertise to making the appropriate assessments.
No data sets were used in this article.
The author was a lead author of the WGI contribution to the IPCC Fifth Assessment Report and a participant in the scoping meeting for the Sixth Assessment Report.
I would like to thank Ed Hawkins for making the figure and for valuable
discussions. I would also like to thank Ted Shepherd and all the reviewers
and referees for their valuable comments, which improved the paper.
Edited by: Pierre Friedlingstein
Reviewed by: Francis Zwiers and Stephane Hallegatte
Allen, M. R., Frame, D. J., Huntingford, C., Jones, C.-D., Lowe, J. A. Meinshausen, M., and Meinshausen, N.: Warming caused by cumulative carbon emissions towards the trillionth tonne, Nature, 458, 1163–1166, 2009.
Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T., Friedlingstein, P., Gao, X., Gutowski, W. J., Johns, T., Krinner, G., Shongwe, M., Tebaldi, C., Weaver, A. J., and Wehner, M.: Long-term Climate Change: Projections, Com mitments and Irreversibility, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
Emanuel, K.: Tail risk vs. Alarmism, available at: http://climatechangenationalforum.org/tail-risk-vs-alarmism (last access: 27 September 2018), 2014.
Hazeleger, W., van den Hurk, B. J. J. M., Min, E., van Oldenborgh, G. J., Petersen, A. C., Stainforth, D. A., Vasileiadou, E., and Smith, L. A.: Tales of future weather, Nat. Clim. Change, 5, 107–113, https://doi.org/10.1038/nclimate2450, 2015.
IPCC: Summary for Policymakers, in: Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
IPCC: Summary for policymakers, in: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects, Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., Mastrandrea, M. D., Bilir, T. E., Chatterjee, M., Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N., MacCracken, S., Mastrandrea, P. R., and White, L. L., Cambridge University Press, Cambridge, UK and New York, NY, USA, 1–32, 2014.
King, D., Schrag, D., Dadi, Z., Qui, Y., and Ghosh, A.: Climate change: a risk assessement, Cambridge University Centre for Science and Policy, Cambridge, 2015.
Mastrandrea, M. D., Field, C. B., Stocker, T. F., Edenhofer, O., Ebi, K. L., Frame, D. J., Held, H., Kriegler, E., Mach, K. J., Matschoss, P. R., Plattner, G.-K., Yohe, G. W., and Zwiers, F. W.: Guidance Note for Lead Authors of the IPCC Fifth Assessment Report on Consistent Treatment of Uncertainties, Intergovernmental Panel on Climate Change (IPCC), 2010.
Matthews, H. D., Gillett, N. P., Stott, P. A., and Zickfeld, K.: The proportionality of global warming to cumulative carbon emissions, Nature, 459, 829–832, 2009.
Weaver, C. P., Moss, R. H., Ebi, K. L., Gleick, P. H., Stern, P. C., Tebaldi, C., Wilson, R. S., and Arvai, J. L.: Reframing climate change assessments around risk: recommendations for the US National Climate Assessment, Environ. Res. Lett., 12, 08021, 2017.
Weitzman, M.: Fat-Tailed Uncertainty in the Economics of Catastrophic Climate Change, Rev. Environ. Econ. Policy, 5, 275–292, https://doi.org/10.1093/reep/rer006, 2011.
Zappa, G. and Shepherd, T. G.: Storylines of atmospheric circulation change for European regional climate impact assessment, J. Climate, 30, 6561–6577, https://doi.org/10.1175/JCLI-D-16-0807.1, 2017.