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DOI | 10.5194/acp-21-5655-2021 |
Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases | |
Solazzo E.; Crippa M.; Guizzardi D.; Muntean M.; Choulga M.; Janssens-Maenhout G. | |
发表日期 | 2021 |
ISSN | 1680-7316 |
起始页码 | 5655 |
结束页码 | 5683 |
卷号 | 21期号:7 |
英文摘要 | The Emissions Database for Global Atmospheric Research (EDGAR) estimates the human-induced emission rates on Earth. EDGAR collaborates with atmospheric modelling activities and aids policy in the design of mitigation strategies and in evaluating their effectiveness. In these applications, the uncertainty estimate is an essential component, as it quantifies the accuracy and qualifies the level of confidence in the emission. This study complements the EDGAR emissions inventory by providing an estimation of the structural uncertainty stemming from its base components (activity data, AD, statistics and emission factors, EFs) by (i) associating uncertainty to each AD and EF characterizing the emissions of the three main greenhouse gases (GHGs), namely carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O); (ii) combining them; and (iii) making assumptions regarding the cross-country uncertainty aggregation of source categories. It was deemed a natural choice to obtain the uncertainties in EFs and AD statistics from the Intergovernmental Panel on Climate Change (IPCC) guidelines issued in 2006 (with a few exceptions), as the EF and AD sources and methodological aspects used by EDGAR have been built over the years based on the IPCC recommendations, which assured consistency in time and comparability across countries. On the one hand, the homogeneity of the method is one of the key strengths of EDGAR, on the other hand, it facilitates the propagation of uncertainties when similar emission sources are aggregated. For this reason, this study aims primarily at addressing the aggregation of uncertainties' sectorial emissions across GHGs and countries. Globally, we find that the anthropogenic emissions covered by EDGAR for the combined three main GHGs for the year 2015 are accurate within an interval of -15 % to +20 % (defining the 95 % confidence of a log-normal distribution). The most uncertain emissions are those related to N2O from waste and agriculture, while CO2 emissions, although responsible for 74 % of the total GHG emissions, account for approximately 11 % of global uncertainty share. The sensitivity to methodological choices is also discussed. © 2021 Copernicus GmbH. All rights reserved. |
语种 | 英语 |
scopus关键词 | air quality; atmospheric modeling; atmospheric pollution; carbon dioxide; database; emission inventory; greenhouse gas; methane; research work; uncertainty analysis |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/246978 |
作者单位 | European Commission, Joint Research Centre (JRC), Ispra, VA 21027, Italy; Research Department, European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, RG2 9AX, United Kingdom |
推荐引用方式 GB/T 7714 | Solazzo E.,Crippa M.,Guizzardi D.,et al. Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases[J],2021,21(7). |
APA | Solazzo E.,Crippa M.,Guizzardi D.,Muntean M.,Choulga M.,&Janssens-Maenhout G..(2021).Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(7). |
MLA | Solazzo E.,et al."Uncertainties in the Emissions Database for Global Atmospheric Research (EDGAR) emission inventory of greenhouse gases".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.7(2021). |
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