Literature DB >> 34011925

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

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


  14 in total

1.  Ensemble reconstruction constraints on the global carbon cycle sensitivity to climate.

Authors:  David C Frank; Jan Esper; Christoph C Raible; Ulf Büntgen; Valerie Trouet; Benjamin Stocker; Fortunat Joos
Journal:  Nature       Date:  2010-01-28       Impact factor: 49.962

2.  Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data.

Authors:  Anders Moberg; Dmitry M Sonechkin; Karin Holmgren; Nina M Datsenko; Wibjörn Karlén; Stein-Erik Lauritzen
Journal:  Nature       Date:  2005-02-10       Impact factor: 49.962

3.  Historical warming reduced due to enhanced land carbon uptake.

Authors:  Elena Shevliakova; Ronald J Stouffer; Sergey Malyshev; John P Krasting; George C Hurtt; Stephen W Pacala
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-23       Impact factor: 11.205

4.  Climate change. Illuminating the modern dance of climate and CO2.

Authors:  Peter Cox; Chris Jones
Journal:  Science       Date:  2008-09-19       Impact factor: 47.728

5.  Proxy-based reconstructions of hemispheric and global surface temperature variations over the past two millennia.

Authors:  Michael E Mann; Zhihua Zhang; Malcolm K Hughes; Raymond S Bradley; Sonya K Miller; Scott Rutherford; Fenbiao Ni
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-02       Impact factor: 11.205

6.  Global signatures and dynamical origins of the Little Ice Age and Medieval Climate Anomaly.

Authors:  Michael E Mann; Zhihua Zhang; Scott Rutherford; Raymond S Bradley; Malcolm K Hughes; Drew Shindell; Caspar Ammann; Greg Faluvegi; Fenbiao Ni
Journal:  Science       Date:  2009-11-27       Impact factor: 47.728

7.  The proportionality of global warming to cumulative carbon emissions.

Authors:  H Damon Matthews; Nathan P Gillett; Peter A Stott; Kirsten Zickfeld
Journal:  Nature       Date:  2009-06-11       Impact factor: 49.962

8.  Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model.

Authors:  P M Cox; R A Betts; C D Jones; S A Spall; I J Totterdell
Journal:  Nature       Date:  2000-11-09       Impact factor: 49.962

9.  Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability.

Authors:  Peter M Cox; David Pearson; Ben B Booth; Pierre Friedlingstein; Chris Huntingford; Chris D Jones; Catherine M Luke
Journal:  Nature       Date:  2013-02-06       Impact factor: 49.962

10.  Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions.

Authors:  D N Huntzinger; A M Michalak; C Schwalm; P Ciais; A W King; Y Fang; K Schaefer; Y Wei; R B Cook; J B Fisher; D Hayes; M Huang; A Ito; A K Jain; H Lei; C Lu; F Maignan; J Mao; N Parazoo; S Peng; B Poulter; D Ricciuto; X Shi; H Tian; W Wang; N Zeng; F Zhao
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

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