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Updated: Jun 5, 2025

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Published on: March 31, 2023
877
Accounting for Pacific climate variability increases projected global warming
Yongxiao Liang1,2, Nathan P Gillett2, Adam H Monahan1
1School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia Canada.
Summary
Global warming projections are more uncertain than previously thought. New methods suggest warming is likely to exceed 2°C even under low emissions, making climate change mitigation more challenging.
Area of Science:
- Climate science
- Climate modeling
- Global warming
Background:
- Observational constraints aim to reduce uncertainties in climate model projections.
- Internal climate variability, particularly the "pattern effect" in the eastern tropical Pacific, has historically weakened the observed global warming trend.
- This variability has led to underestimations of recent warming trends.
Purpose of the Study:
- To refine projections of future global warming by addressing the influence of internal climate variability.
- To re-evaluate the likelihood of exceeding critical warming thresholds, such as 2°C, under different emissions scenarios.
- To improve the accuracy of climate change predictions for better adaptation planning.
Main Methods:
- Utilized observational constraint methods linking past global warming trends to climate model projections.
- Developed a novel approach by regressing out internal climate variability from the eastern tropical Pacific before applying observational constraints.
- Applied the observed global mean warming trend as a constraint to refine future warming ranges.
Main Results:
- The refined method produced higher and narrower twenty-first-century warming ranges compared to previous approaches.
- Under a low-emissions scenario, global warming is now projected to likely exceed 2°C, contrary to previous assessments by the Intergovernmental Panel on Climate Change.
- Limiting global warming to well below 2°C presents a greater challenge than anticipated.
Conclusions:
- Internal climate variability significantly impacts the reliability of observational constraints on climate models.
- Future global warming may be more severe than previously estimated, necessitating more ambitious mitigation efforts.
- Reduced uncertainty in refined projections can aid in more effective climate change adaptation strategies.
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