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DOI | 10.1088/1748-9326/ab858a |
Quantifying process-level uncertainty contributions to TCRE and carbon budgets for meeting Paris Agreement climate targets | |
Jones C.D.; Friedlingstein P. | |
发表日期 | 2020 |
ISSN | 17489318 |
卷号 | 15期号:7 |
英文摘要 | To achieve the goals of the Paris Agreement requires deep and rapid reductions in anthropogenic CO2 emissions, but uncertainty surrounds the magnitude and depth of reductions. Earth system models provide a means to quantify the link from emissions to global climate change. Using the concept of TCRE - the transient climate response to cumulative carbon emissions - we can estimate the remaining carbon budget to achieve 1.5 or 2 °C. But the uncertainty is large, and this hinders the usefulness of the concept. Uncertainty in carbon budgets associated with a given global temperature rise is determined by the physical Earth system, and therefore Earth system modelling has a clear and high priority remit to address and reduce this uncertainty. Here we explore multi-model carbon cycle simulations across three generations of Earth system models to quantitatively assess the sources of uncertainty which propagate through to TCRE. Our analysis brings new insights which will allow us to determine how we can better direct our research priorities in order to reduce this uncertainty. We emphasise that uses of carbon budget estimates must bear in mind the uncertainty stemming from the biogeophysical Earth system, and we recommend specific areas where the carbon cycle research community needs to re-focus activity in order to try to reduce this uncertainty. We conclude that we should revise focus from the climate feedback on the carbon cycle to place more emphasis on CO2 as the main driver of carbon sinks and their long-term behaviour. Our proposed framework will enable multiple constraints on components of the carbon cycle to propagate to constraints on remaining carbon budgets. © 2020 The Author(s). Published by IOP Publishing Ltd. |
英文关键词 | carbon budgets; carbon cycle feedbacks; constraints; research priorities |
语种 | 英语 |
scopus关键词 | Budget control; Carbon; Carbon dioxide; Climate change; Climate models; Earth (planet); Global climate changes; Global temperatures; Long term behaviours; Multiple constraint; Research communities; Research priorities; Sources of uncertainty; Uncertainty contributions; Uncertainty analysis; anthropogenic effect; carbon budget; carbon dioxide; carbon emission; carbon sink; climate change; climate modeling; quantitative analysis; uncertainty analysis |
来源期刊 | Environmental Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/153947 |
作者单位 | Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, United Kingdom; Laboratoire de Meteorologie Dynamique, Institut Pierre-Simon Laplace, CNRS-ENS-UPMC-X, Paris, France |
推荐引用方式 GB/T 7714 | Jones C.D.,Friedlingstein P.. Quantifying process-level uncertainty contributions to TCRE and carbon budgets for meeting Paris Agreement climate targets[J],2020,15(7). |
APA | Jones C.D.,&Friedlingstein P..(2020).Quantifying process-level uncertainty contributions to TCRE and carbon budgets for meeting Paris Agreement climate targets.Environmental Research Letters,15(7). |
MLA | Jones C.D.,et al."Quantifying process-level uncertainty contributions to TCRE and carbon budgets for meeting Paris Agreement climate targets".Environmental Research Letters 15.7(2020). |
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