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A small climate-amplifying effect of climate-carbon cycle feedback.
Xuanze Zhang1,2, Ying-Ping Wang3,4, Peter J Rayner5
1Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. xuanzezhang@igsnrr.ac.cn.
Nature Communications
|May 20, 2021
Summary
The climate-carbon cycle feedback
Area of Science:
- Earth System Science
- Climate Science
- Carbon Cycle Research
Background:
- The climate-carbon cycle feedback is a critical Earth system process amplifying climate change.
- Quantifying this feedback's global amplifying effect (gain factor, g) from observational data has been a challenge.
- Key parameters include the carbon-concentration feedback (β) and carbon-climate feedback (γ).
Purpose of the Study:
- To quantify the global climate-amplifying effect of the climate-carbon cycle feedback using observational data.
- To estimate the carbon-concentration feedback parameter (β) and carbon-climate feedback parameter (γ) over different time scales.
- To compare observational estimates of the feedback strength with those from Earth system models.
Main Methods:
- Application of a Fourier analysis-based carbon cycle feedback framework.
- Reconstruction of climate and carbon records from 1850 to 2017 and 1000 to 1850.
- Estimation of feedback parameters β and γ, and the gain factor g.
Main Results:
- The carbon-concentration feedback (β) remained relatively stable (3.22 ± 0.32 GtC ppm⁻¹ for 1880-2017).
- The carbon-climate feedback (γ) showed significant strengthening with time scale, from -33 ± 14 GtC K⁻¹ (decadal) to -122 ± 60 GtC K⁻¹ (centennial) for 1000-1850.
- The observed amplification effect (g = 0.01 ± 0.05) is substantially lower than model estimates (0.09 ± 0.04 historical, 0.15 ± 0.08 RCP8.5).
Conclusions:
- The current observed amplification of climate change by the carbon cycle is small.
- Earth system models may overestimate the strength of the climate-carbon cycle feedback.
- Findings suggest potentially higher future allowable CO₂ emissions (9 ± 7%) than previously estimated by models.
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