Constrained future brightening of solar radiation and its implication for China's solar power. Issue 1 (29th October 2022)

• Record Type: Journal Article
• Authors: He, Yanyi; Yang, Kun; Wild, Martin; Wang, Kaicun; Tong, Dan; Shao, Changkun; Zhou, Tianjun
• Is Part Of: National science review. Volume 10:Issue 1(2023)
• Publication Date: 2022-10-29
• Subjects: surface downward solar radiation -- CMIP6 model -- emergent constraint -- future change -- solar energy; Science -- Periodicals; 505
• DOI: 10.1093/nsr/nwac242
• Languages: English
• ISSNs: 2095-5138

Abstract

Abstract: As Earth's primary energy source, surface downward solar radiation ( R s ) determines the solar power potential and usage for climate change mitigation. Future projections of R s based on climate models have large uncertainties that interfere with the efficient deployment of solar energy to achieve China's carbon-neutrality goal. Here we assess 24 models in the latest Coupled Model Intercomparison Project Phase 6 with historical observations in China and find systematic biases in simulating historical R s values likely due to model biases in cloud cover and clear-sky radiation, resulting in largely uncertain projections for future changes in R s . Based on emergent constraints, we obtain credible R s with narrowed uncertainties by ∼56% in the mid-twenty-first century and show that the mean R s change during 2050–2069 relative to 1995–2014 is 30% more brightening than the raw projections. Particularly in North China and Southeast China with higher power demand, the constrained projections present more significant brightening, highlighting the importance of considering the spatial changes in future Rs when locating new solar energy infrastructures. Abstract : We narrowed the uncertainties in the projection of surface downward solar radiation by ∼56% based on emergent constraints. We found that the constrained predictions present significant brightening in North and Southeast China with high power demand.