气候变化领域集成服务门户(CCPortal): Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG

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DOI	10.5194/acp-19-11279-2019
	Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG
	Zhao X.; Marshall J.; Hachinger S.; Gerbig C.; Frey M.; Hase F.; Chen J.
发表日期	2019
ISSN	16807316
起始页码	11279
结束页码	11302
卷号	19 期号:17
英文摘要	Though they cover less than 3% of the global land area, urban areas are responsible for over 70% of the global greenhouse gas (GHG) emissions and contain 55% of the global population. A quantitative tracking of GHG emissions in urban areas is therefore of great importance, with the aim of accurately assessing the amount of emissions and identifying the emission sources. The Weather Research and Forecasting model (WRF) coupled with GHG modules (WRFGHG) developed for mesoscale atmospheric GHG transport can predict column-averaged abundances of CO2 and CH4 (XCO2 and XCH4). In this study, we use WRF-GHG to model the Berlin area at a high spatial resolution of 1 km. The simulated wind and concentration fields were compared with the measurements from a campaign performed around Berlin in 2014 (Hase et al., 2015). The measured and simulated wind fields mostly demonstrate good agreement. The simulated XCO2 shows quite similar trends with the measurement but with approximately 1 ppm bias, while a bias in the simulated XCH4 of around 2.7% is found. The bias could potentially be the result of relatively high background concentrations, the errors at the tropopause height, etc. We find that an analysis using differential column methodology (DCM) works well for the XCH4 comparison, as corresponding background biases are then canceled out. From the tracer analysis, we find that the enhancement of XCH4 is highly dependent on human activities. The XCO2 enhancement in the vicinity of Berlin is dominated by anthropogenic behavior rather than biogenic activities. We conclude that DCM is an effective method for comparing models to observations independently of biases caused, e.g., by initial conditions. It allows us to use our high-resolution WRF-GHG model to detect and understand major sources of GHG emissions in urban areas. © Author(s) 2019.
语种	英语
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/144167
作者单位	Department of Electrical and Computer Engineering, Technische Unversität München, Arcisstr. 21, Munich, 80333, Germany; Department of Biogeochemical Systems, Max Planck Institute of Biogeochemistry, Hans-Knöll-Str. 10, Jena, 07745, Germany; Leibniz Supercomputing Centre (Leibniz-Rechenzenturm - LRZ), Bavarian Academy of Sciences and Humanities, Bolzmannstr. 1, Garching, 85748, Germany; Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, Karlsruhe, 76021, Germany
推荐引用方式 GB/T 7714	Zhao X.,Marshall J.,Hachinger S.,et al. Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG[J],2019,19(17).
APA	Zhao X..,Marshall J..,Hachinger S..,Gerbig C..,Frey M..,...&Chen J..(2019).Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG.Atmospheric Chemistry and Physics,19(17).
MLA	Zhao X.,et al."Analysis of total column CO2 and CH4 measurements in Berlin with WRF-GHG".Atmospheric Chemistry and Physics 19.17(2019).