2019
DOI: 10.1016/j.atmosenv.2019.116850
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Impact of planetary boundary layer structure on the formation and evolution of air-pollution episodes in Shenyang, Northeast China

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Cited by 86 publications
(42 citation statements)
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“…14). In terms of WRF, higher winter urban temperatures in simulations with the BEP+BEM urban scheme are consistent with results of previous studies (Liao et al, 2014;Karlický et al, 2018) and are probably caused by higher amounts of anthropogenic heat, internally computed within the scheme. In simulations with the bulk urban scheme, no anthropogenic heat is considered, and therefore the winter UHI is suppressed.…”
Section: Discussionsupporting
confidence: 89%
“…14). In terms of WRF, higher winter urban temperatures in simulations with the BEP+BEM urban scheme are consistent with results of previous studies (Liao et al, 2014;Karlický et al, 2018) and are probably caused by higher amounts of anthropogenic heat, internally computed within the scheme. In simulations with the bulk urban scheme, no anthropogenic heat is considered, and therefore the winter UHI is suppressed.…”
Section: Discussionsupporting
confidence: 89%
“…Although great efforts have been devoted to elucidating the complex interactions between the PBL and aerosol pollution in China in recent years, most studies focused on Beijing, Shanghai, Guangzhou, and Chengdu, and the PBL structure/ process in the other megacities is still far from well known, especially for Central China. In addition to those 13 megacities listed in Table 1, the urban PBLs in other heavily polluted and densely populated cities in China also need further investigations, such as Zhengzhou [24•], Lanzhou [104], Xi'an [105], Harbin [24•], and Shenyang [106].…”
Section: Discussionmentioning
confidence: 99%
“…Both model domains have 47 vertical layers extending from the surface to 10 hPa. The simulations ran continuously from 1 January to 31 December 2016 using spectral nudging and climatic downscaling techniques documented by Hu et al (2017, 2018, 2019b, 2020) and Li et al (2019). Temperature, geopotential height, and horizontal winds above the boundary layer at a ~1,000 km scale are spectrally nudged to the reanalysis data throughout the downscaling simulation, and variation of these variables over smaller scales are predicted by model dynamics.…”
Section: Methodsmentioning
confidence: 99%