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DOI10.5194/acp-23-3031-2023
Variable effects of spatial resolution on modeling of nitrogen oxides
Li, Chi; Martin, Randall V.; Cohen, Ronald C.; Bindle, Liam; Zhang, Dandan; Chatterjee, Deepangsu; Weng, Hongjian; Lin, Jintai
发表日期2023
ISSN1680-7316
EISSN1680-7324
起始页码3031
结束页码3049
卷号23期号:5页码:19
英文摘要The lifetime and concentration of nitrogen oxides (NOx) are susceptible to nonlinear production and loss and to the resolution of a chemical transport model (CTM). This is due to the strong spatial gradients of NOx and the dependence of its own chemical loss on such gradients. In this study, we use the GEOS-Chem CTM in its high-performance implementation (GCHP) to investigate NOx simulations over the eastern United States across a wide range of spatial model resolutions (six different horizontal grids from 13 to 181 km). Following increasing grid size, afternoon surface NO(x )mixing ratios over July 2015 generally decrease over the Great Lakes region (GL) and increase over the southern states of the US region (SS), yielding regional differences (181 km vs. 13 km) of -16 % (in the GL) to 7 % (in the SS); meanwhile, hydrogen oxide radicals (HOx) increase over both regions, consistent with their different chemical regimes (i.e., NOx-saturated in the GL and NOx-limited in the SS). Nighttime titration of ozone by surface nitric oxide (NO) was found to be more efficient at coarser resolutions, leading to longer NOx lifetimes and higher surface mixing ratios of nitrogen dioxide (NO2) over the GL in January 2015. The tropospheric NO2 column density at typical afternoon satellite overpass time has spatially more coherent negative biases (e.g., -8 % over the GL) at coarser resolutions in July, which reversed the positive biases of surface NOx over the SS. The reduced NOx aloft (> 1 km altitude) at coarser resolutions was attributable to the enhanced HOx that intrudes into the upper troposphere. Application of coarse-resolution simulations for interpreting satellite NO(2 )columns will generally underestimate surface NO2 over the GL and overestimate surface NO2 over the SS in summer, but it will uniformly overestimate NOx emissions over both regions. This study significantly broadens understanding of factors contributing to NO(x )resolution effects and the role of fine-resolution data in accurately simulating and interpreting NOx and its relevance to air quality.
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:000945914500001
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/273443
作者单位Washington University (WUSTL); University of California System; University of California Berkeley; University of California System; University of California Berkeley; Peking University
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GB/T 7714
Li, Chi,Martin, Randall V.,Cohen, Ronald C.,et al. Variable effects of spatial resolution on modeling of nitrogen oxides[J],2023,23(5):19.
APA Li, Chi.,Martin, Randall V..,Cohen, Ronald C..,Bindle, Liam.,Zhang, Dandan.,...&Lin, Jintai.(2023).Variable effects of spatial resolution on modeling of nitrogen oxides.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(5),19.
MLA Li, Chi,et al."Variable effects of spatial resolution on modeling of nitrogen oxides".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.5(2023):19.
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