气候变化领域集成服务门户(CCPortal): Evaluation of simulated CO(2 )power plant plumes from six high-resolution atmospheric transport models

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DOI	10.5194/acp-23-2699-2023
	Evaluation of simulated CO(2 )power plant plumes from six high-resolution atmospheric transport models
	Brunner, Dominik; Kuhlmann, Gerrit; Henne, Stephan; Koene, Erik; Kern, Bastian; Wolff, Sebastian; Voigt, Christiane; Joeckel, Patrick; Kiemle, Christoph; Roiger, Anke; Fiehn, Alina; Krautwurst, Sven; Gerilowski, Konstantin; Bovensmann, Heinrich; Borchardt, Jakob; Galkowski, Michal; Gerbig, Christoph; Marshall, Julia; Klonecki, Andrzej; Prunet, Pascal; Hanfland, Robert; Pattantyus-Abraham, Margit; Wyszogrodzki, Andrzej; Fix, Andreas
发表日期	2023
ISSN	1680-7316
EISSN	1680-7324
起始页码	2699
结束页码	2728
卷号	23 期号:4 页码:30
英文摘要	Power plants and large industrial facilities contribute more than half of global anthropogenic CO2 emissions. Quantifying the emissions of these point sources is therefore one of the main goals of the planned constellation of anthropogenic CO2 monitoring satellites (CO2M) of the European Copernicus program. Atmospheric transport models may be used to study the capabilities of such satellites through observing system simulation experiments and to quantify emissions in an inverse modeling framework. How realistically the CO2 plumes of power plants can be simulated and how strongly the results may depend on model type and resolution, however, is not well known due to a lack of observations available for benchmarking. Here, we use the unique data set of aircraft in situ and remote sensing observations collected during the CoMet (Carbon Dioxide and Methane Mission) measurement campaign downwind of the coal-fired power plants at Belchatow in Poland and Janschwalde in Germany in 2018 to evaluate the simulations of six different atmospheric transport models. The models include three large-eddy simulation (LES) models, two mesoscale numerical weather prediction (NWP) models extended for atmospheric tracer transport, and one Lagrangian particle dispersion model (LPDM) and cover a wide range of model resolutions from 200 m to 2 km horizontal grid spacing. At the time of the aircraft measurements between late morning and early afternoon, the simulated plumes were slightly (at Janschwalde) to highly (at Belchatow) turbulent, consistent with the observations, and extended over the whole depth of the atmospheric boundary layer (ABL; up to 1800 m a.s.l. (above sea level) in the case of Belchatow). The stochastic nature of turbulent plumes puts fundamental limitations on a point-by-point comparison between simulations and observations. Therefore, the evaluation focused on statistical properties such as plume amplitude and width as a function of distance from the source. LES and NWP models showed similar performance and sometimes remarkable agreement with the observations when operated at a comparable resolution. The Lagrangian model, which was the only model driven by winds observed from the aircraft, quite accurately captured the location of the plumes but generally underestimated their width. A resolution of 1 km or better appears to be necessary to realistically capture turbulent plume structures. At a coarser resolution, the plumes disperse too quickly, especially in the near-field range (0-8 km from the source), and turbulent structures are increasingly smoothed out. Total vertical columns are easier to simulate accurately than the vertical distribution of CO2, since the latter is critically affected by profiles of vertical stability, especially near the top of the ABL. Cross-sectional flux and integrated mass enhancement methods applied to synthetic CO2M data generated from the model simulations with a random noise of 0.5-1.0 ppm (parts per million) suggest that emissions from a power plant like Belchatow can be estimated with an accuracy of about 20 % from single overpasses. Estimates of the effective wind speed are a critical input for these methods. Wind speeds in the middle of the ABL appear to be a good approximation for plumes in a well-mixed ABL, as encountered during CoMet.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000940812100001
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/273001
作者单位	Swiss Federal Institutes of Technology Domain; Swiss Federal Laboratories for Materials Science & Technology (EMPA); Helmholtz Association; German Aerospace Centre (DLR); University of Bremen; Max Planck Society; Johannes Gutenberg University of Mainz; Institute of Meteorology & Water Management
推荐引用方式 GB/T 7714	Brunner, Dominik,Kuhlmann, Gerrit,Henne, Stephan,et al. Evaluation of simulated CO(2 )power plant plumes from six high-resolution atmospheric transport models[J],2023,23(4):30.
APA	Brunner, Dominik.,Kuhlmann, Gerrit.,Henne, Stephan.,Koene, Erik.,Kern, Bastian.,...&Fix, Andreas.(2023).Evaluation of simulated CO(2 )power plant plumes from six high-resolution atmospheric transport models.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(4),30.
MLA	Brunner, Dominik,et al."Evaluation of simulated CO(2 )power plant plumes from six high-resolution atmospheric transport models".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.4(2023):30.