Beyond global mean temperature: increasing asymmetry of global warming in past and future climate change
Global surface warming is recognized for its spatial asymmetry, which drives the complexity of climate change impacts. However, solely relying on average surface temperature change ($${\Delta T}_{{mean}}$$) as an indicator of climate change may obscure this asymmetry. Here, going beyond $${\Delta T}_{{mean}}$$, we quantify the long-term change in global warming asymmetry and its implications for climate mitigation. Results reveal a significant increase in warming asymmetry (0.18–0.29 °C3/decade) since 1900. Among 58 IPCC reference regions, the Arctic Ocean, Northwest North America, and Russian Regions contribute only 48% of this trend, with other Northern Hemisphere mid-high latitudes accounting for an additional 35%. Climate models project an emission-dependent nonlinear acceleration of warming asymmetry, with trends under SSP 5-8.5 being approximately 3–8 times greater than those under SSP2-4.5 and SSP1-2.6. Consequently, the global surface temperature change deviates from its original Gaussian distribution toward a highly skewed bimodal distribution. This increasing asymmetry implies a widening “divergence” within the climate system that is dependent on emission levels, including the gap between the $${\Delta T}_{{mean}}$$ and those observed across the majority of regions. Without rigorous emission reductions, this gap could foster cognitive biases in public awareness toward climate change, undermining public acceptance of climate mitigation policies.
Authors
- Qiuying Gan (ORCID: https://orcid.org/0000-0003-1253-2023)
- Jeremy Cheuk‐Hin Leung (ORCID: https://orcid.org/0000-0002-4325-1083)
- Dingchi Zhao (ORCID: https://orcid.org/0000-0002-2711-7984)
- Yazhu Yang
- Wenjie Dong
- Renhe Zhang
- Banglin Zhang
- Yi Li
Institutions
- China Meteorological Administration (CN)
- National University of Defense Technology (CN)
- Fudan University (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- npj Climate and Atmospheric Science
- Published
- 2026-04-17
- DOI
- https://doi.org/10.1038/s41612-026-01411-x
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National University of Defense Technology
- Basic and Applied Basic Research Foundation of Guangdong Province
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)