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Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
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Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
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Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown

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Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown
Journal Article

Role of volcanic and anthropogenic aerosols in the recent global surface warming slowdown

2016
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Overview
The global warming slowdown has been attributed to the negative phase of the Pacific Decadal Oscillation. Modelling work simulates this negative phase in response to anthropogenic aerosols, indicating that external forcings may influence natural cycles. The rate of global mean surface temperature (GMST) warming has slowed this century despite the increasing concentrations of greenhouse gases. Climate model experiments 1 , 2 , 3 , 4 show that this slowdown was largely driven by a negative phase of the Pacific Decadal Oscillation (PDO), with a smaller external contribution from solar variability, and volcanic and anthropogenic aerosols 5 , 6 . The prevailing view is that this negative PDO occurred through internal variability 7 , 8 , 9 , 10 , 11 . However, here we show that coupled models from the Fifth Coupled Model Intercomparison Project robustly simulate a negative PDO in response to anthropogenic aerosols implying a potentially important role for external human influences. The recovery from the eruption of Mount Pinatubo in 1991 also contributed to the slowdown in GMST trends. Our results suggest that a slowdown in GMST trends could have been predicted in advance, and that future reduction of anthropogenic aerosol emissions, particularly from China, would promote a positive PDO and increased GMST trends over the coming years. Furthermore, the overestimation of the magnitude of recent warming by models is substantially reduced by using detection and attribution analysis to rescale their response to external factors, especially cooling following volcanic eruptions. Improved understanding of external influences on climate is therefore crucial to constrain near-term climate predictions.