Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD027364 |
Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area | |
Mueller, K.1,2; Yadav, V.3; Lopez-Coto, I.4; Karion, A.1; Gourdji, S.1,2; Martin, C.4,5; Whetstone, J.1 | |
2018-03-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:5页码:2910-2926 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | There is increased interest in understanding urban greenhouse gas (GHG) emissions. To accurately estimate city emissions, the influence of extraurban fluxes must first be removed from urban greenhouse gas (GHG) observations. This is especially true for regions, such as the U.S. Northeastern Corridor-Baltimore/Washington, DC (NEC-B/W), downwind of large fluxes. To help site background towers for the NEC-B/W, we use a coupled Bayesian Information Criteria and geostatistical regression approach to help site four background locations that best explain CO2 variability due to extraurban fluxes modeled at 12 urban towers. The synthetic experiment uses an atmospheric transport and dispersion model coupled with two different flux inventories to create modeled observations and evaluate 15 candidate towers located along the urban domain for February and July 2013. The analysis shows that the average ratios of extraurban inflow to total modeled enhancements at urban towers are 21% to 36% in February and 31% to 43% in July. In July, the incoming air dominates the total variability of synthetic enhancements at the urban towers (R-2=0.58). Modeled observations from the selected background towers generally capture the variability in the synthetic CO2 enhancements at urban towers (R-2=0.75, root-mean-square error (RMSE)=3.64ppm; R-2=0.43, RMSE=4.96ppm for February and July). However, errors associated with representing background air can be up to 10ppm for any given observation even with an optimal background tower configuration. More sophisticated methods may be necessary to represent background air to accurately estimate urban GHG emissions. |
英文关键词 | greenhouse gas urban inversion emissions carbon dioxide background |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000428437100031 |
WOS关键词 | CO2 EMISSIONS ; EXCHANGE ; VARIABILITY ; FLUXES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/34096 |
专题 | 气候变化 |
作者单位 | 1.Natl Inst Stand & Technol, Special Programs Off, Gaithersburg, MD 20899 USA; 2.Univ Michigan, Dept Climate & Space Sci, Ann Arbor, MI 48109 USA; 3.Jet Prop Lab, Stanford, CA USA; 4.Natl Inst Stand & Technol, Fire Res Div, Gaithersburg, MD 20899 USA; 5.Univ Maryland, Dept Atmospher & Ocean Sci, Silver Spring, MD USA |
推荐引用方式 GB/T 7714 | Mueller, K.,Yadav, V.,Lopez-Coto, I.,et al. Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(5):2910-2926. |
APA | Mueller, K..,Yadav, V..,Lopez-Coto, I..,Karion, A..,Gourdji, S..,...&Whetstone, J..(2018).Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(5),2910-2926. |
MLA | Mueller, K.,et al."Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.5(2018):2910-2926. |
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