气候变化领域集成服务门户(CCPortal): Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study

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DOI	10.5194/acp-19-2561-2019
	Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study
	Karion A.; Lauvaux T.; Lopez Coto I.; Sweeney C.; Mueller K.; Gourdji S.; Angevine W.; Barkley Z.; Deng A.; Andrews A.; Stein A.; Whetstone J.
发表日期	2019
ISSN	16807316
起始页码	2561
结束页码	2576
卷号	19 期号:4
英文摘要	Greenhouse gas emissions mitigation requires understanding the dominant processes controlling fluxes of these trace gases at increasingly finer spatial and temporal scales. Trace gas fluxes can be estimated using a variety of approaches that translate observed atmospheric species mole fractions into fluxes or emission rates, often identifying the spatial and temporal characteristics of the emission sources as well. Meteorological models are commonly combined with tracer dispersion models to estimate fluxes using an inverse approach that optimizes emissions to best fit the trace gas mole fraction observations. One way to evaluate the accuracy of atmospheric flux estimation methods is to compare results from independent methods, including approaches in which different meteorological and tracer dispersion models are used. In this work, we use a rich data set of atmospheric methane observations collected during an intensive airborne campaign to compare different methane emissions estimates from the Barnett Shale oil and natural gas production basin in Texas, USA. We estimate emissions based on a variety of different meteorological and dispersion models. Previous estimates of methane emissions from this region relied on a simple model (a mass balance analysis) as well as on ground-based measurements and statistical data analysis (an inventory). We find that in addition to meteorological model choice, the choice of tracer dispersion model also has a significant impact on the predicted downwind methane concentrations given the same emissions field. The dispersion models tested often underpredicted the observed methane enhancements with significant variability (up to a factor of 3) between different models and between different days. We examine possible causes for this result and find that the models differ in their simulation of vertical dispersion, indicating that additional work is needed to evaluate and improve vertical mixing in the tracer dispersion models commonly used in regional trace gas flux inversions. © 2019. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	atmospheric chemistry; concentration (composition); dispersion; greenhouse gas; shale; source apportionment; spatiotemporal analysis; trace gas; Texas; United States
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/144612
作者单位	Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, United States; Department of Meteorology, Pennsylvania State University, University Park, PA, United States; Fire Research Division, National Institute of Standards and Technology, Gaithersburg, MD, United States; Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, United States; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, United States; Utopus Insights, Valhalla, NY, United States; Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, United States; Laboratoire des Sciences du Climat et de l'Environnement, CEA, CNRS, UVSQ/IPSL, Universite Paris-Saclay, Orme des Merisiers, Gif-sur-Yvette Cedex, 91191, France
推荐引用方式 GB/T 7714	Karion A.,Lauvaux T.,Lopez Coto I.,et al. Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study[J],2019,19(4).
APA	Karion A..,Lauvaux T..,Lopez Coto I..,Sweeney C..,Mueller K..,...&Whetstone J..(2019).Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study.Atmospheric Chemistry and Physics,19(4).
MLA	Karion A.,et al."Intercomparison of atmospheric trace gas dispersion models: Barnett Shale case study".Atmospheric Chemistry and Physics 19.4(2019).