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DOI10.1016/j.eng.2023.02.017
Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R)
Guo, Lifeng; Zhang, Xiaoye; Zhong, Junting; Wang, Deying; Miao, Changhong; Zhao, Licheng; Zhou, Zijiang; Liao, Jie; Hu, Bo; Zhu, Lingyun; Chen, Yan
发表日期2024
ISSN2095-8099
EISSN2096-0026
起始页码33
卷号33
英文摘要CO 2 is one of the most important greenhouse gases (GHGs) in the earth's atmosphere. Since the industrial era, anthropogenic activities have emitted excessive quantities of GHGs into the atmosphere, resulting in climate warming since the 1950s and leading to an increased frequency of extreme weather and climate events. In 2020, China committed to striving for carbon neutrality by 2060. This commitment and China's consequent actions will result in significant changes in global and regional anthropogenic carbon emissions and therefore require timely, comprehensive, and objective monitoring and verification support (MVS) systems. The MVS approach relies on the top -down assimilation and inversion of atmospheric CO 2 concentrations, as recommended by the Intergovernmental Panel on Climate Change (IPCC) Inventory Guidelines in 2019. However, the regional high -resolution assimilation and inversion method is still in its initial stage of development. Here, we have constructed an inverse system for carbon sources and sinks at the kilometer level by coupling proper orthogonal decomposition (POD) with fourdimensional variational (4DVar) data assimilation based on the weather research and forecasting-greenhouse gas (WRF-GHG) model. Our China Carbon Monitoring and Verification Support at the Regional level (CCMVS-R) system can continuously assimilate information on atmospheric CO 2 and other related information and realize the inversion of regional and local anthropogenic carbon emissions and natural terrestrial ecosystem carbon exchange. Atmospheric CO 2 data were collected from six ground -based monitoring sites in Shanxi Province, China to verify the inversion effect of regional anthropogenic carbon emissions by setting ideal and real experiments using a two -layer nesting method (at 27 and 9 km). The uncertainty of the simulated atmospheric CO 2 decreased significantly, with a root -mean -square error of CO 2 concentration values between the ideal value and the simulated after assimilation was close to 0. The total anthropogenic carbon emissions in Shanxi Province in 2019 from the assimilated inversions were approximately 28.6% (17%-38%) higher than the mean of five emission inventories using the bottomup method, showing that the top -down CCMVS-R system can obtain more comprehensive information on anthropogenic carbon emissions. (c) 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
英文关键词CCMVS-R; Regional carbon assimilation system; Anthropogenic carbon emissions; CO2; POD 4DVar
语种英语
WOS研究方向Engineering
WOS类目Engineering, Multidisciplinary
WOS记录号WOS:001235112000001
来源期刊ENGINEERING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/305984
作者单位China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS); China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS); Henan University
推荐引用方式
GB/T 7714
Guo, Lifeng,Zhang, Xiaoye,Zhong, Junting,et al. Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R)[J],2024,33.
APA Guo, Lifeng.,Zhang, Xiaoye.,Zhong, Junting.,Wang, Deying.,Miao, Changhong.,...&Chen, Yan.(2024).Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R).ENGINEERING,33.
MLA Guo, Lifeng,et al."Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion System (CCMVS-R)".ENGINEERING 33(2024).
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