Using OPTiMEM and the Heat Conjecture to Estimate Future Social Cost of Greenhouse Gases
Brian Hanley, Pieter Tans, Edward A.G. Schuur, Geoffrey Gardiner, Steve Keen, Adam Smith

TL;DR
This paper introduces a physics-based approach using OPTiMEM and the Heat Conjecture to estimate the future social cost of greenhouse gases, emphasizing long-term bonds and a phase space representation for GHG impacts.
Contribution
It develops a novel physics-founded model, OPTiMEM, and proposes a new framework for estimating the social cost of GHGs with long-term bonds and a phase space approach, addressing discounting issues.
Findings
Long-term carbon bonds can implement real discounting.
Model predicts +18°C global temperature rise by 2210 CE.
Traditional models like DICE underestimate future temperature extremes.
Abstract
We present an entirely new physics founded approach to estimating the social cost of carbon (SCC). For this, we developed our Ocean-Heat-Content Physics and Time Macro Economic Model (OPTiMEM) to estimate future heat content (separately published). The heat conjecture assumes that weather damages curves are stochastically proportional to ocean heat increase. We model carbon combustion, validate to datasets for greenhouse gas (GHG), temperature, and ocean heat content (OHC). We show that the social cost of 4 GHGs: CO2, CH4, N2O and halogenated hydrocarbons, cannot be single values, but must be represented by a kind of economic phase space. We propose very long-term carbon bonds to implement real discounting. This obviates the Gordian knot of the descriptivist versus prescriptivist discount disagreement that is unsolvable. Implementing these bonds leads to a new monitoring metric:…
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Taxonomy
TopicsClimate Change Policy and Economics · Global Energy and Sustainability Research · Climate Change and Environmental Impact
