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Discussion papers
https://doi.org/10.5194/acp-2018-595
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2018-595
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jul 2018

Research article | 25 Jul 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

XCO2 in an emission hot-spot region: the COCCON Paris campaign 2015

Felix R. Vogel1,a, Matthias Frey2, Johannes Staufer3,a, Frank Hase2, Gregoire Broquet4, Irene Xueref-Remy5,a, Frederic Chevallier4, Philippe Ciais4, Mahesh Kumar Sha6,b, Pascale Chelin7, Pascal Jeseck8, Christof Janssen8, Yao-Veng Te8, Jochen Groß2, Thomas Blumenstock2, Qiansi Tu2, and Johannes Orphal2 Felix R. Vogel et al.
  • 1Climate Research Division, Environment and Climate Change Canada, Toronto, Canada
  • 2Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK), Karlsruhe, Germany
  • 3Thales Services, Regional Competence Center Aerospace and Science Engineering, Toulouse, France
  • 4Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France
  • 5Observatoire de Haute Provence, OSU Pytheas, Saint-Michel l’Observatoire, France
  • 6Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
  • 7Laboratoire Inter-Universitaire des Systèmes Atmosphériques (LISA), (CNRS UMR 7583, Université Paris Est Créteil, Université Paris Diderot, Institut Pierre Simon Laplace), Créteil, France
  • 8Laboratoire d’Études du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA), IPSL, Sorbonne Universités, (CNRS, PSL Research University, Observatoire de Paris), Paris, France
  • apreviously at: Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France
  • bpreviously at: Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK), Karlsruhe, Germany

Abstract. 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 Infra-Red (FTIR) spectrometers were deployed at 5 stations in the Paris metropolitan area to provide column-averaged concentrations of CO2 (XCO2) during a field campaign in spring of 2015. 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 2–3ppm) during the afternoon.

An atmospheric transport model framework (CHIMERE-CAMS) 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. Looking at the local gradients of XCO2 for upwind and downwind station pairs, which is less sensitive to changes in XCO2 regional background conditions, we find the model-data agreement significantly better. 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 highlights the usefulness of XCO2 observations to help optimise future urban GHG emission estimates.

Felix R. Vogel et al.
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Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Felix R. Vogel et al.
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Short summary
Provide timely information on Greenhouse emissions to stakeholders at sub-national scale is an an emerging challenge and understanding urban CO2 levels is a one key aspect. This study uses atmospheric observations of CO2 and compares them to numerical simulations to investigate CO2 levels the Paris region, France. Our measurements reveal the locally added CO2 and our model is able to predict the measured concentrations well. This is an important step forwards towards monitoring of urban CO2.
Provide timely information on Greenhouse emissions to stakeholders at sub-national scale is an...
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