气候变化领域集成服务门户(CCPortal): Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California

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DOI	10.5194/acp-19-2991-2019
	Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California
	Brophy K.; Graven H.; Manning A.J.; White E.; Arnold T.; Fischer M.L.; Jeong S.; Cui X.; Rigby M.
发表日期	2019
ISSN	16807316
起始页码	2991
结束页码	3006
卷号	19 期号:5
英文摘要	Atmospheric inverse modelling has become an increasingly useful tool for evaluating emissions of greenhouse gases including methane, nitrous oxide, and synthetic gases such as hydrofluorocarbons (HFCs). Atmospheric inversions for emissions of CO2 from fossil fuel combustion (ffCO2) are currently being developed. The aim of this paper is to investigate potential errors and uncertainties related to the spatial and temporal prior representation of emissions and modelled atmospheric transport for the inversion of ffCO2 emissions in the US state of California. We perform simulation experiments based on a network of ground-based observations of CO2 concentration and radiocarbon in CO2 (a tracer of ffCO2), combining prior (bottom-up) emission models and transport models currently used in many atmospheric studies. The potential effect of errors in the spatial and temporal distribution of prior emission estimates is investigated in experiments by using perturbed versions of the emission estimates used to create the pseudo-data. The potential effect of transport error was investigated by using three different atmospheric transport models for the prior and pseudo-data simulations. We find that the magnitude of biases in posterior total state emissions arising from errors in the spatial and temporal distribution in prior emissions in these experiments are 1 %-15% of posterior total state emissions and are generally smaller than the 2σ uncertainty in posterior emissions. Transport error in these experiments introduces biases of-10% to +6% into posterior total state emissions. Our results indicate that uncertainties in posterior total state ffCO2 estimates arising from the choice of prior emissions or atmospheric transport model are on the order of 15% or less for the ground-based network in California we consider. We highlight the need for temporal variations to be included in prior emissions and for continuing efforts to evaluate and improve the representation of atmospheric transport for regional ffCO2 inversions. © 2019 Author(s).
语种	英语
scopus关键词	atmospheric chemistry; atmospheric transport; carbon dioxide; computer simulation; emission inventory; fossil fuel; greenhouse gas; ground-based measurement; inverse problem; numerical model; pollutant transport; uncertainty analysis; California; United States
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144591
作者单位	Department of Physics, Imperial College London, London, United Kingdom; Hadley Centre, Met Office, Exeter, United Kingdom; School of Chemistry, University of Bristol, Bristol, United Kingdom; National Physical Laboratory, London, United Kingdom; School of Geosciences, University of Edinburgh, University of Edinburgh, Edinburgh, United Kingdom; Lawrence Berkeley National Laboratory, Berkeley, CA, United States
推荐引用方式 GB/T 7714	Brophy K.,Graven H.,Manning A.J.,et al. Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California[J],2019,19(5).
APA	Brophy K..,Graven H..,Manning A.J..,White E..,Arnold T..,...&Rigby M..(2019).Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California.Atmospheric Chemistry and Physics,19(5).
MLA	Brophy K.,et al."Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California".Atmospheric Chemistry and Physics 19.5(2019).