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Empirically constrained climate sensitivity and the social cost of carbon
Dayaratna, K.; McKitrick, R.; Kreutzer, D. (2017). Empirically constrained climate sensitivity and the social cost of carbon. Climate Change Economics 08(2): 1750006. https://dx.doi.org/10.1142/s2010007817500063
In: Climate Change Economics. WORLD SCIENTIFIC PUBL CO PTE LTD: Singapore. ISSN 2010-0078; e-ISSN 2010-0086, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    Social cost of carbon; climate sensitivity; ocean heat uptake; carbon taxes; integrated assessment models

Authors  Top 
  • Dayaratna, K.
  • McKitrick, R.
  • Kreutzer, D.

Abstract
    Integrated Assessment Models (IAMs) require parameterization of both economic and climatic processes. The latter includes Equilibrium Climate Sensitivity (ECS), or the temperature response to doubling CO2 levels, and Ocean Heat Uptake (OHU) efficiency. ECS distributions in IAMs have been drawn from climate model runs that lack an empirical basis, and in Monte Carlo experiments may not be constrained to consistent OHU values. Empirical ECS estimates are now available, but have not yet been applied in IAMs. We incorporate a new estimate of the ECS distribution conditioned on observed OHU efficiency into two widely used IAMs. The resulting Social Cost of Carbon (SCC) estimates are much lower than those from models based on simulated ECS parameters. In the DICE model, the average SCC falls by approximately 40–50% depending on the discount rate, while in the FUND model the average SCC falls by over 80%. The span of estimates across discount rates also shrinks substantially.

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