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Replication Data for: Robust Solar Radiation Modification without Hindering Abatement Actions under Deep Uncertainty

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/NOLWBB
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资源简介:
There is a growing discussion on Solar Radiation Modification (SRM), a geoengineering technique that achieve rapid global cooling at relatively low cost compared to abatement. However, deep uncertainties about the cooling efficiency and potential damages of SRM, as well as concerns that SRM impedes abatement actions, limit its ability to supplement climate policies. Therefore, a useful robust way to take advantage of SRM under deep uncertainty is to explore SRM policies without hindering abatement actions by incorporating decision analysis. We first assess the impacts of SRM deployment strategy choices on abatement policies and the SRM policy. We also develop a framework that combines Min-Max Regret (MMR) decision analysis with integrated assessment model (IAM) of endogenous SRM. The results suggest that (1) SRM strategy choices significantly change the optimal abatement action, and the changes of abatement action is even opposite under different strategies. The delayed SRM strategy leads to an stringent near-term abatement policy, while unrestricted SRM strategy leads to the lenient abatement action. (2) Abatement actions combined with SRM policies can result in little additional welfare losses in achieving the temperature target. However, achieving temperature targets through SRM alone rather than combining with abatement actions is possible in some cases. (3) The intensity of robust SRM policy under the MMR rule is 10-15% lower than that of deterministic solution. Robust SRM may achieve 1.5 °C and 2 °C temperature targets (the magnitude depends on SRM cooling efficiency).
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2024-11-17
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