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来源类型 | Article |
规范类型 | 其他 |
DOI | 10.5194/gmd-2017-43 |
Historical (1750 - 2014) anthropogenic emissions of reactive gases and aerosols from the Community Emission Data System (CEDS). | |
Hoesly RM; Smith SJ; Feng L; Klimont Z; Janssens-Maenhout G; Pitkanen Tyler; Seibert JJ; Vu L | |
发表日期 | 2018 |
出处 | Geoscientific Model Development 11: 369-408 |
出版年 | 2018 |
语种 | 英语 |
摘要 | We present a new data set of annual historical (1750–2014) anthropogenic chemically reactive gases (CO, CH4, NH3, NOX, SO2, NMVOC), carbonaceous aerosols (BC and OC), and CO2 developed with the Community Emissions Database System (CEDS). We improve upon existing inventories with a more consistent and reproducible methodology applied to all emissions species, updated emission factors, and recent estimates through 2014. The data system relies on existing energy consumption data sets and regional and country-specific inventories to produce trends over recent decades. All emissions species are consistently estimated using the same activity data over all time periods. Emissions are provided on an annual basis at the level of country and sector and gridded with monthly seasonality. These estimates are comparable to, but generally slightly higher than, existing global inventories. Emissions over the most recent years are more uncertain, particularly in low- and middle-income regions where country-specific emission inventories are less available. Future work will involve refining and updating these emission estimates, estimating emissions uncertainty, and publication of the system as open source software. |
主题 | Air Quality & ; Greenhouse Gases (AIR) |
URL | http://pure.iiasa.ac.at/id/eprint/14595/ |
来源智库 | International Institute for Applied Systems Analysis (Austria) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131282 |
推荐引用方式 GB/T 7714 | Hoesly RM,Smith SJ,Feng L,et al. Historical (1750 - 2014) anthropogenic emissions of reactive gases and aerosols from the Community Emission Data System (CEDS).. 2018. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
gmd-2017-43.pdf(1846KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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