| Literature DB >> 34011925 |
Xuanze Zhang1,2, Ying-Ping Wang3,4, Peter J Rayner5, Philippe Ciais6, Kun Huang7, Yiqi Luo8, Shilong Piao9, Zhonglei Wang10, Jianyang Xia7, Wei Zhao11, Xiaogu Zheng12, Jing Tian13, Yongqiang Zhang14.
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 CO2 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.Entities:
Year: 2021 PMID: 34011925 DOI: 10.1038/s41467-021-22392-w
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919