Articles | Volume 21, issue 1
Atmos. Chem. Phys., 21, 483–503, 2021
https://doi.org/10.5194/acp-21-483-2021
Atmos. Chem. Phys., 21, 483–503, 2021
https://doi.org/10.5194/acp-21-483-2021
Research article
14 Jan 2021
Research article | 14 Jan 2021

Error induced by neglecting subgrid chemical segregation due to inefficient turbulent mixing in regional chemical-transport models in urban environments

Cathy W. Y. Li et al.

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Cited articles

Albrecht, B., Fang, M., and Ghate, V.: Exploring Stratocumulus Cloud-Top Entrainment Processes and Parameterizations by Using Doppler Cloud Radar Observations, J. Atmos. Sci., 73, 729–742, https://doi.org/10.1175/JAS-D-15-0147.1, 2016. a
Auger, L. and Legras, B.: Chemical segregation by heterogeneous emissions, Atmos. Environ., 41, 2303–2318, 2007. a, b
Baker, J., Walker, H. L., and Cai, X.: A study of the dispersion and transport of reactive pollutants in and above street canyons – a large eddy simulation, Atmos. Environ., 38, 6883–6892, 2004. a
Barth, M. C., Hess, P. G., and Madronich, S.: Effect of marine boundary layer clouds on tropospheric chemistry as analyzed in a regional chemistry transport model, J. Geophys. Res.-Atmos., 107, AAC 7-1–AAC 7-12, https://doi.org/10.1029/2001JD000468, 2002. a
Bouarar, I., Petersen, K., Granier, C., Xie, Y., Mijling, B., van der Ronald, A., Gauss, M., Pommier, M., Sofiev, M., Kouznetsov, R., Sudarchikova, N., Wang, L., Zhou, G., and Brasseur, G. P.: Predicting Air Pollution in East Asia, Springer International Publishing, Cham, 387–403, https://doi.org/10.1007/978-3-319-59489-7_18, 2017. a
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Intense and localised emissions of pollutants are common in urban environments, in which turbulence cannot mix these segregated pollutants efficiently in the atmosphere. Despite their relatively high resolution, regional models cannot resolve such segregation and assume instantaneous mixing of these pollutants in their model grids, which potentially induces significant error in the subsequent chemical calculation, based on our calculation with a model that explicitly resolves turbulent motions.
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