Author:
Calel Raphael,Stainforth David A.,Dietz Simon
Abstract
Abstract
It has recently been highlighted that the economic value of climate change mitigation depends sensitively on the slim possibility of extreme warming. This insight has been obtained through a focus on the fat upper tail of the climate sensitivity probability distribution. However, while climate sensitivity is undoubtedly important, what ultimately matters is transient temperature change. A focus on transient temperature change stresses the interplay of climate sensitivity with other physical uncertainties, notably effective heat capacity. In this paper we present a conceptual analysis of the physical uncertainties in economic models of climate mitigation, leading to an empirical application of the DICE model, which investigates the interaction of uncertainty in climate sensitivity and the effective heat capacity. We expand on previous results exploring the sensitivity of economic evaluations to the tail of the climate sensitivity distribution alone, and demonstrate that uncertainty about the system’s effective heat capacity also plays a very important role. We go on to discuss complementary avenues of economic and scientific research that may help provide a better combined understanding of the physical and economic processes associated with a rapidly warming world.
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science,Global and Planetary Change
Reference29 articles.
1. Ackerman F, Stanton EA, Bueno R (2010) Fat tails, exponents, extreme uncertainty: Simulating catastrophe in DICE. Ecol Econ 69(8):1657–1665
2. Allen M, Andronova N, Booth B, Dessai S, Frame D, Forest C, Gregory J, Hegerl G, Knutti R, Piani C (2006) Observational constraints on climate sensitivity. In: Schellnhuber HJ (ed) Avoiding dangerous climate change, chap 29. Cambridge University Press, pp 281–289
3. Andrews DG, Allen MR (2008) Diagnosis of climate models in terms of transient climate response and feedback response time. Atmos Sci Lett 9(1):7–12
4. Baker M, Roe G (2009) The shape of things to come: why is climate change so predictable? J Clim 22(17):4574–4589
5. Cai Y, Judd KL, Lontzek TS (2012) Continuous-time methods for integrated assessment models. Working Paper 18365, National Bureau of Economic Research
Cited by
23 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献