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.

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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

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article

Beyond global mean temperature: increasing asymmetry of global warming in past and future climate change

Qiuying Gan, Jeremy Cheuk‐Hin Leung, Dingchi Zhao, Yazhu Yang et al.
npj Climate and Atmospheric Science
Climate variability and models
article

Beyond global mean temperature: increasing asymmetry of global warming in past and future climate change

Qiuying Gan, Jeremy Cheuk‐Hin Leung, Dingchi Zhao, Yazhu Yang, Wenjie Dong, Renhe Zhang, Banglin Zhang, Yi Li
article en

Abstract

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.

npj Climate and Atmospheric Science
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)
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)
Climate action
Openalex Percentile: Top 14%
Climate variability and models
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