Year: 2026
Type: article
Abstract: Solar radiation modification (SRM) provides an additional cooling option for limiting warming, but uncertainties about its realized cooling outcomes challenge the robustness of temperature-target strategies. This study develops an SRM decision framework that is robust in achieving the temperature target by embedding the min-max regret (MMR) rule into an integrated assessment model. We evaluate SRM strategies under uncertainty in cooling efficiency, SRM-related damages, and climate sensitivity. The results show that policies designed for adverse cooling-response states can better avoid temperature-target failure but generate great welfare losses from over-deployment. The MMR-based strategy exhibits distinct phasing, with restrained deployment before mid-century and accelerated deployment thereafter. Sensitivity analyses show that this two-phase pattern remains robust across alternative uncertainty sets. Overall, the robust framework balances the risk of temperature-target failure against the welfare cost of over-deployment under persistent uncertainties.
Source: Risk Analysis
DOI: 10.1111/risa.70312
Authors: Guo‐Liang Zheng, Jian‐Yu Wu, Tong Zhang, Hua Liao
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7170594965
