globalchange  > 气候变化与战略
DOI: 10.1073/pnas.1919032117
论文题名:
Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2
作者: Basu S.; Lehman S.J.; Miller J.B.; Andrews A.E.; Sweeney C.; Gurney K.R.; Xu X.; Southon J.; Tans P.P.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:24
起始页码: 13300
结束页码: 13307
语种: 英语
英文关键词: Atmospheric inverse modeling ; Fossil fuel CO2 ; Radiocarbon
Scopus关键词: carbon 14 ; carbon dioxide ; fossil fuel ; analytical parameters ; Article ; atmospheric diffusion ; carbon footprint ; carbon source ; cement industry ; chemical model ; combustion ; conceptual framework ; environmental protection ; measurement ; priority journal ; random error ; reference value ; United States
英文摘要: We report national scale estimates of CO2 emissions from fossilfuel combustion and cement production in the United States based directly on atmospheric observations, using a dual-tracer inverse modeling framework and CO2 and Δ14CO2 measurements obtained primarily from the North American portion of the National Oceanic and Atmospheric Administration's Global Greenhouse Gas Reference Network. The derived US national total for 2010 is 1,653 ± 30 TgC yr-1 with an uncertainty (1σ) that takes into account random errors associated with atmospheric transport, atmospheric measurements, and specified prior CO2 and 14C fluxes. The atmosphere-derived estimate is significantly larger (>3σ) than US national emissions for 2010 from three global inventories widely used for CO2 accounting, even after adjustments for emissions that might be sensed by the atmospheric network, but which are not included in inventory totals. It is also larger (>2σ) than a similarly adjusted total from the US Environmental Protection Agency (EPA), but overlaps EPA's reported upper 95% confidence limit. In contrast, the atmosphere-derived estimate is within 1σ of the adjusted 2010 annual total and nine of 12 adjusted monthly totals aggregated from the latest version of the high-resolution, US-specific "Vulcan" emission data product. Derived emissions appear to be robust to a range of assumed prior emissions and other parameters of the inversion framework. While we cannot rule out a possible bias from assumed prior Net Ecosystem Exchange over North America, we show that this can be overcome with additional Δ14CO2 measurements. These results indicate the strong potential for quantification of US emissions and their multiyear trends from atmospheric observations. © 2020 National Academy of Sciences. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164170
Appears in Collections:气候变化与战略

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作者单位: Basu, S., Global Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO 80305, United States, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO 80309, United States; Lehman, S.J., Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO 80309, United States; Miller, J.B., Global Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO 80305, United States; Andrews, A.E., Global Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO 80305, United States; Sweeney, C., Global Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO 80305, United States; Gurney, K.R., School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011, United States; Xu, X., Keck Carbon Cycle AMS Facility, University of California, Irvine, CA 92697, United States; Southon, J., Keck Carbon Cycle AMS Facility, University of California, Irvine, CA 92697, United States; Tans, P.P., Global Monitoring Laboratory, National Oceanographic and Atmospheric Administration, Boulder, CO 80305, United States

Recommended Citation:
Basu S.,Lehman S.J.,Miller J.B.,et al. Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(24)
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