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DOI10.5194/acp-19-3271-2019
XCO2 in an emission hot-spot region: The COCCON Paris campaign 2015
Vogel F.R.; Frey M.; Staufer J.; Hase F.; Broquet G.; Xueref-Remy I.; Chevallier F.; Ciais P.; Sha M.K.; Chelin P.; Jeseck P.; Janssen C.; Té Y.; Groß J.; Blumenstock T.; Tu Q.; Orphal J.
发表日期2019
ISSN16807316
起始页码3271
结束页码3285
卷号19期号:5
英文摘要Providing timely information on urban greenhouse gas (GHG) emissions and their trends to stakeholders relies on reliable measurements of atmospheric concentrations and the understanding of how local emissions and atmospheric transport influence these observations. Portable Fourier transform infrared (FTIR) spectrometers were deployed at five stations in the Paris metropolitan area to provide column-averaged concentrations of CO2 (XCO2) during a field campaign in spring of 2015, as part of the Collaborative Carbon Column Observing Network (COCCON). Here, we describe and analyze the variations of XCO2 observed at different sites and how they changed over time. We find that observations upwind and downwind of the city centre differ significantly in their XCO2 concentrations, while the overall variability of the daily cycle is similar, i.e. increasing during night-time with a strong decrease (typically 2-3 ppm) during the afternoon. An atmospheric transport model framework (CHIMERECAMS) was used to simulate XCO2 and predict the same behaviour seen in the observations, which supports key findings, e.g. that even in a densely populated region like Paris (over 12 million people), biospheric uptake of CO2 can be of major influence on daily XCO2 variations. Despite a general offset between modelled and observed XCO2, the model correctly predicts the impact of the meteorological parameters (e.g. wind direction and speed) on the concentration gradients between different stations. When analyzing local gradients of XCO2 for upwind and downwind station pairs, those local gradients are found to be less sensitive to changes in XCO2 boundary conditions and biogenic fluxes within the domain and we find the model-data agreement further improves. Our modelling framework indicates that the local XCO2 gradient between the stations is dominated by the fossil fuel CO2 signal of the Paris metropolitan area. This furtherhighlights the potential usefulness of XCO2 observations to help optimize future urban GHG emission estimates. © Author(s) 2019.
语种英语
scopus关键词carbon dioxide; carbon emission; concentration (composition); FTIR spectroscopy; greenhouse gas; metropolitan area; France; Ile de France; Paris; Ville de Paris
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/144574
作者单位Climate Research Division, Environment and Climate Change Canada, Toronto, Canada; Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK), Karlsruhe, Germany; Thales, Labège, France; Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, Université Paris-Saclay, Gif-sur-Yvette, France; Observatoire de Haute-Provence, OSU Pytheas, Saint-Michel-l'Observatoire, France; Royal Belgian Institute for Space Aeronomy, Brussels, Belgium; Laboratoire Inter-Universitaire des Systèmes Atmosphériques (LISA), Université Paris Est Créteil, Institut Pierre Simon Laplace, Créteil, France; Laboratoire d'Etudes du Rayonnement et de la Matiere en Astrophysique et Atmospheres (LERMA), IPSL, Sorbonne Universités, Paris, France
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GB/T 7714
Vogel F.R.,Frey M.,Staufer J.,et al. XCO2 in an emission hot-spot region: The COCCON Paris campaign 2015[J],2019,19(5).
APA Vogel F.R..,Frey M..,Staufer J..,Hase F..,Broquet G..,...&Orphal J..(2019).XCO2 in an emission hot-spot region: The COCCON Paris campaign 2015.Atmospheric Chemistry and Physics,19(5).
MLA Vogel F.R.,et al."XCO2 in an emission hot-spot region: The COCCON Paris campaign 2015".Atmospheric Chemistry and Physics 19.5(2019).
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