Drake, H. F., Rivest, R. L., Edelman, A., & Deutch, J. *A Multi-control
Climate Policy Process for a Designated Decision Maker*
<http://ceepr.mit.edu/files/papers/2020-015.pdf>.

Persistent greenhouse gas (GHG) emissions threaten global climate goals and
have prompted consideration of climate controls supplementary to emissions
mitigation. We present an idealized model of optimally-controlled climate
change, which is complementary to simpler analytical models and more
comprehensive Integrated Assessment Models. We show that the four methods
of controlling climate damage– mitigation, carbon dioxide removal,
adaptation, and solar
radiation modification– are not interchangeable, as they enter at different
stages of the causal chain that connects GHG emissions to climate damages.
Early and aggressive mitigation is always necessary to stabilize GHG
concentrations at a tolerable level.
*The most cost-effective way of keeping warming below 2°C is a combination
of all four controls; omitting solar radiation modification– a particularly
contentious climate control– increases net control costs by 31%. At low
discount rates, near-term mitigation and carbon dioxide removal are used to
permanently reduce the warming effect of GHGs. At high discount rates,
however, GHGs concentrations increase rapidly and future generations are
required to use solar radiation modification to offset a large greenhouse
effect. *
We propose a policy response process wherein climate policy decision-makers
re-adjust their policy prescriptions over time based on evolving climate
outcomes and revised model assumptions. We demonstrate the utility of the
process by applying it to three hypothetical scenarios in which model
biases in 1) baseline emissions, 2) geoengineering (CDR and SRM) costs, and
3) climate feedbacks are revealed over time and control policies are
re-adjusted accordingly.

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