The role of reduced aerosol masking from air pollutant emission reductions in recent global warming acceleration (2013–2023)
Abstract
In recent years, the Earth has likely experienced an accelerated warming trend, raising growing interest in the possible contributing factors. From 2013 to 2023, global anthropogenic air pollutant emissions declined significantly and brought enormous public health benefits, but the contribution of reduced aerosol masking of greenhouse warming to recent trends remains uncertain. Using two state-of-the-art global climate models, we show that global air pollutant emission reductions during 2013–2023 caused a global effective radiative forcing of 0.16 W/m 2 (90% CI: 0.13 to 0.20), with international shipping, China, and other land regions contributing 0.05 W/m 2 (0.00 to 0.09), 0.07 W/m 2 (0.03 to 0.11), and 0.05 W/m 2 (0.00 to 0.09), respectively. International shipping contributes disproportionately to radiative forcing relative to its emission reductions, highlighting its high forcing efficiency. The combined forcings are estimated to have contributed a warming of 0.044 °C (0.012 to 0.076) over 2013–2023, accounting for 52% (14 to 90%) of the observed warming acceleration (0.084 °C/decade) relative to the 1970–2012 trend. Especially strong reductions in aerosol–cloud interactions are found over the North Pacific, driven primarily by the downwind impacts of East Asian emission reductions. Aerosol unmasking contributes to the recent acceleration of warming and highlights the importance of accurately quantifying air pollutant emission changes for future climate projections.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (19)
Xiaochun Wang
State Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University
Shuxiao Wang
Gregory Faluvegi
National Aeronautics and Space Administration Goddard Institute for Space Studies
Wen Yi
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University
Da Gao
State Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University
Shengyue Li
Yanning Zhang
State Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University
Huan Liu
Duseong S. Jo
Department of Earth Science Education, Seoul National University
Jiewen Shen
State Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University
Yang Gao
Yuan Wang
Yuqiang Zhang
Big Data Research Center for Ecology and Environment, Environment Research Institute, Shandong University
Zhe Jiang
Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry
Hong He
Kebin He
Jiming Hao
Drew Shindell
Earth and Climate Sciences Division, Nicholas School of the Environment, Duke University
Bin Zhao