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A Scheme for Jointly Trading-off Costs and Risks of Solar Radiation Management and Mitigation Under Long-tailed Climate Sensitivity Probability Density Distributions

Author

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  • Roshan, Elnaz
  • Khabbazan, Mohammad Mohammadi
  • Held, Hermann

Abstract

Side-effects of "solar-radiation management" (SRM) might be perceived as an important metric when society decides on implementing SRM as a climate policy option to alleviate anthropogenic global warming. We generalize cost-risk analysis that originally trades-off expected welfare-loss from climate policy costs and risks from transgressing climate targets to also include risks from applying SRM. In a first step of acknowledging SRM risks, we represent global precipitation mismatch as a prominent side-effect of SRM under long-tailed probabilistic knowledge about climate sensitivity. We maximize social welfare for the following three scenarios, considering alternative relative weights of risks: temperature-risk-only, precipitationrisk- only, and equally-weighted both-risks. Our analysis shows that in the temperature-risk-only scenario, perfect compliance with the 2°C-temperature target is attained for all numerically represented climate sensitivities, a unique feature of SRM, but the 2°C-compatible precipitation corridor is violated. The precipitation-risk-only scenario exhibits an approximate mirror-image of this result. In addition, under the both-risks scenario, almost 90% and perfect compliance can be achieved for the temperature and precipitation targets, respectively. Moreover, in a mitigationonly analysis, the welfare-loss from mitigation cost plus residual climate risks, compared to the no-climate-policy option, is approximately 4.3% (BGE), while being reduced to a maximum of 0.38% under a joint-mitigation-SRM analysis.

Suggested Citation

  • Roshan, Elnaz & Khabbazan, Mohammad Mohammadi & Held, Hermann, 2020. "A Scheme for Jointly Trading-off Costs and Risks of Solar Radiation Management and Mitigation Under Long-tailed Climate Sensitivity Probability Density Distributions," WiSo-HH Working Paper Series 56, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
  • Handle: RePEc:zbw:uhhwps:56
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