4.7 Article

Uncertainty of Concentration-Terrestrial Carbon Feedback in Earth System Models

期刊

JOURNAL OF CLIMATE
卷 27, 期 9, 页码 3425-3445

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-13-00177.1

关键词

Atmosphere-land interaction; Feedback; Carbon cycle; Ecosystem effects; General circulation models; Model comparison

资金

  1. Program for Risk Information on Climate Change, MEXT, Japan
  2. [21114010]

向作者/读者索取更多资源

Carbon uptake by land and ocean as a biogeochemical response to increasing atmospheric CO2 concentration is called concentration-carbon feedback and is one of the carbon cycle feedbacks of the global climate. This feedback can have a major impact on climate projections with an uncertain magnitude. This paper focuses on the concentration-carbon feedback in terrestrial ecosystems, analyzing the mechanisms and strength of the feedback reproduced by Earth system models (ESMs) participating in phase 5 of the Coupled Model Intercomparison Project. It is confirmed that multiple ESMs driven by a common scenario show a large spread of concentration-carbon feedback strength among models. Examining the behavior of the carbon fluxes and pools of the models showed that the sensitivity of plant productivity to elevated CO2 is likely the key to reduce the spread, although increasing CO2 stimulates other carbon cycle processes. Simulations with a single ESM driven by different CO2 pathways demonstrated that carbon accumulation increases in scenarios with slower CO2 increase rates. Using both numerical and analytical approaches, the study showed that the difference among CO2 scenarios is a time lag of terrestrial carbon pools in response to atmospheric CO2 increasea high rate of CO2 increase results in smaller carbon accumulations than that in an equilibrium state of a given CO2 concentration. These results demonstrate that the current quantities for concentration-carbon feedback are incapable of capturing the feedback dependency on the carbon storage state and suggest that the concentration feedback can be larger for future scenarios where the CO2 growth rate is reduced.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据