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DOI10.5194/acp-19-4541-2019
Accounting for the vertical distribution of emissions in atmospheric CO2 simulations
Brunner D.; Kuhlmann G.; Marshall J.; Clément V.; Fuhrer O.; Broquet G.; Löscher A.; Meijer Y.
发表日期2019
ISSN16807316
起始页码4541
结束页码4559
卷号19期号:7
英文摘要Inverse modeling of anthropogenic and biospheric CO2 fluxes from ground-based and satellite observations critically depends on the accuracy of atmospheric transport simulations. Previous studies emphasized the impact of errors in simulated winds and vertical mixing in the planetary boundary layer, whereas the potential importance of releasing emissions not only at the surface but distributing them in the vertical was largely neglected. Accounting for elevated emissions may be critical, since more than 50% of CO2 in Europe is emitted by large point sources such as power plants and industrial facilities. In this study, we conduct high-resolution atmospheric simulations of CO2 with the mesoscale Consortium for Small-scale Modeling model extended with a module for the simulation of greenhouse gases (COSMO-GHG) over a domain covering the city of Berlin and several coalfired power plants in eastern Germany, Poland and Czech Republic. By including separate tracers for anthropogenic CO2 emitted only at the surface or according to realistic, sourcedependent profiles, we find that releasing CO2 only at the surface overestimates near-surface CO2 concentrations in the afternoon on average by 14% in summer and 43% in winter over the selected model domain. Differences in columnaveraged dry air mole XCO2 fractions are smaller, between 5%in winter and 8%in summer, suggesting smaller yet nonnegligible sensitivities for inversion modeling studies assimilating satellite rather than surface observations. The results suggest that the traditional approach of emitting CO2 only at the surface is problematic and that a proper allocation of emissions in the vertical deserves as much attention as an accurate simulation of atmospheric transport. © 2019 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License.
语种英语
scopus关键词atmospheric chemistry; atmospheric transport; carbon dioxide; carbon emission; data assimilation; greenhouse gas; inverse analysis; point source; satellite data; seasonal variation; vertical distribution; Berlin; Czech Republic; Germany; Germany; Poland [Central Europe]
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/144508
作者单位Empa, Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland; Max Planck Institute for Biogeochemistry (MPI-BGC), Jena, Germany; Center for Climate Systems Modelling (C2SM), ETH Zürich, Zürich, Switzerland; Federal Institute of Meteorology and Climatology, MeteoSwiss, Kloten, Switzerland; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, Université Paris Saclay, Gif-sur-Yvette Cedex, 91191, France; European Space Agency (ESA), ESTEC, Noordwijk, Netherlands
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Brunner D.,Kuhlmann G.,Marshall J.,et al. Accounting for the vertical distribution of emissions in atmospheric CO2 simulations[J],2019,19(7).
APA Brunner D..,Kuhlmann G..,Marshall J..,Clément V..,Fuhrer O..,...&Meijer Y..(2019).Accounting for the vertical distribution of emissions in atmospheric CO2 simulations.Atmospheric Chemistry and Physics,19(7).
MLA Brunner D.,et al."Accounting for the vertical distribution of emissions in atmospheric CO2 simulations".Atmospheric Chemistry and Physics 19.7(2019).
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