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A small climate-amplifying effect of climate-carbon cycle feedback

Xuanze Zhang, Ying‐Ping Wang, P. J. Rayner, Philippe Ciais, Kun Huang, Yiqi Luo, Shilong Piao, Zhonglei Wang, Jianyang Xia, Wei Zhao, Xiaogu Zheng, Jing Tian, Yongqiang Zhang

2021Nature Communications23 citationsDOIOpen Access PDF

Abstract

Abstract The climate-carbon cycle feedback is one of the most important climate-amplifying feedbacks of the Earth system, and is quantified as a function of carbon-concentration feedback parameter ( β ) and carbon-climate feedback parameter ( γ ). However, the global climate-amplifying effect from this feedback loop (determined by the gain factor, g ) has not been quantified from observations. Here we apply a Fourier analysis-based carbon cycle feedback framework to the reconstructed records from 1850 to 2017 and 1000 to 1850 to estimate β and γ . We show that the β -feedback varies by less than 10% with an average of 3.22 ± 0.32 GtC ppm −1 for 1880–2017, whereas the γ -feedback increases from −33 ± 14 GtC K −1 on a decadal scale to −122 ± 60 GtC K −1 on a centennial scale for 1000–1850. Feedback analysis further reveals that the current amplification effect from the carbon cycle feedback is small ( g is 0.01 ± 0.05), which is much lower than the estimates by the advanced Earth system models ( g is 0.09 ± 0.04 for the historical period and is 0.15 ± 0.08 for the RCP8.5 scenario), implying that the future allowable CO 2 emissions could be 9 ± 7% more. Therefore, our findings provide new insights about the strength of climate-carbon cycle feedback and about observational constraints on models for projecting future climate.

Topics & Concepts

Carbon cycleCarbon fibersEnvironmental scienceEarth system scienceScale (ratio)Climate changeFeedback loopCentennialClimatologyPositive feedbackNegative feedbackClimate modelAtmospheric sciencesComputer sciencePhysicsEcosystemGeographyEcologyBiologyGeologyEngineeringVoltageComputer securityComposite numberQuantum mechanicsAlgorithmElectrical engineeringArchaeologyAtmospheric and Environmental Gas DynamicsClimate variability and modelsGeology and Paleoclimatology Research
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