气候变化领域集成服务门户(CCPortal): Using Space-Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East

CCPortal

DOI	10.1029/2019JD031922
	Using Space-Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East
	Yang E.G.; Kort E.A.; Wu D.; Lin J.C.; Oda T.; Ye X.; Lauvaux T.
发表日期	2020
ISSN	2169897X
卷号	125 期号:7
英文摘要	Improved observational understanding of urban CO2 emissions, a large and dynamic global source of fossil CO2, can provide essential insights for both carbon cycle science and mitigation decision making. Here we compare three distinct global CO2 emissions inventory representations of urban CO2 emissions for five Middle Eastern cities (Riyadh, Mecca, Tabuk, Jeddah, and Baghdad) and use independent satellite observations from the Orbiting Carbon Observatory-2 (OCO-2) satellite to evaluate the inventory representations of afternoon emissions. We use the column version of the Stochastic Time-Inverted Lagrangian Transport (X-STILT) model to account for atmospheric transport and link emissions to observations. We compare XCO2 simulations with observations to determine optimum inventory scaling factors. Applying these factors, we find that the average summed emissions for all five cities are 100 MtC year−1 (50–151, 90% CI), which is 2.0 (1.0, 3.0) times the average prior inventory magnitudes. The total adjustment of the emissions of these cities comes out to ~7% (0%, 14%) of total Middle Eastern emissions (~700 MtC year−1). We find our results to be insensitive to the prior spatial distributions in inventories of the cities' emissions, facilitating robust quantitative assessments of urban emission magnitudes without accurate high-resolution gridded inventories. ©2020. The Authors.
英文关键词	carbon dioxide; emissions inventories; Lagrangian modeling; Middle East; satellite; urban
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186057
作者单位	Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States; Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, United States; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, MD, United States; Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, PA, United States; Now at Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA, United States; Now at Laboratoire des Sciences du Climat et de l'Environnement, CEA, CNRS, UVSQ/IPSL, Université Paris-Saclay, Orme des Merisiers, Gif-sur-Yvette, France
推荐引用方式 GB/T 7714	Yang E.G.,Kort E.A.,Wu D.,et al. Using Space-Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East[J],2020,125(7).
APA	Yang E.G..,Kort E.A..,Wu D..,Lin J.C..,Oda T..,...&Lauvaux T..(2020).Using Space-Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East.Journal of Geophysical Research: Atmospheres,125(7).
MLA	Yang E.G.,et al."Using Space-Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East".Journal of Geophysical Research: Atmospheres 125.7(2020).