author_facet Wang, Jian
Mao, Jingbo
Zhang, Yan
Cheng, Tiantao
Yu, Qi
Tan, Jiani
Ma, Weichun
Wang, Jian
Mao, Jingbo
Zhang, Yan
Cheng, Tiantao
Yu, Qi
Tan, Jiani
Ma, Weichun
author Wang, Jian
Mao, Jingbo
Zhang, Yan
Cheng, Tiantao
Yu, Qi
Tan, Jiani
Ma, Weichun
spellingShingle Wang, Jian
Mao, Jingbo
Zhang, Yan
Cheng, Tiantao
Yu, Qi
Tan, Jiani
Ma, Weichun
Atmosphere
Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
Atmospheric Science
Environmental Science (miscellaneous)
author_sort wang, jian
spelling Wang, Jian Mao, Jingbo Zhang, Yan Cheng, Tiantao Yu, Qi Tan, Jiani Ma, Weichun 2073-4433 MDPI AG Atmospheric Science Environmental Science (miscellaneous) http://dx.doi.org/10.3390/atmos10020079 <jats:p>Urbanization significantly influences meteorological conditions and air quality. Statistically, air pollution in the megacity of Shanghai usually occurs with cold weather fronts. An air pollution episode during a cold front was simulated using weather research and forecasting and the Community Multi-scale Air Quality model system. In this study, we used two urban schemes, a simple bulk scheme (denoted BULK) and the single-layer urban canopy model (SLUCM), to check the effects of urban parameterization. Our results showed that SLUCM better predicted the arrival time and cooling process of the cold front and more realistically simulated the moving process of the cold front. The improvement in the temperature and relative humidity simulation achieved using SLUCM was more effective under higher urbanization levels, whereas the wind speed simulation was better in rural areas. The simulated concentrations at sites with high urbanization were obviously improved by urban parameterization. The barrier role of the urban canopy during a cold front was better represented and was shown to cause a wider polluted area and higher pollutant concentration using SLUCM than with BULK. Overall, accurate meteorological simulations in the atmospheric boundary layer using SLUCM are expected to provide good prediction of urban air quality.</jats:p> Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai Atmosphere
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title Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_unstemmed Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_full Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_fullStr Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_full_unstemmed Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_short Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_sort simulating the effects of urban parameterizations on the passage of a cold front during a pollution episode in megacity shanghai
topic Atmospheric Science
Environmental Science (miscellaneous)
url http://dx.doi.org/10.3390/atmos10020079
publishDate 2019
physical 79
description <jats:p>Urbanization significantly influences meteorological conditions and air quality. Statistically, air pollution in the megacity of Shanghai usually occurs with cold weather fronts. An air pollution episode during a cold front was simulated using weather research and forecasting and the Community Multi-scale Air Quality model system. In this study, we used two urban schemes, a simple bulk scheme (denoted BULK) and the single-layer urban canopy model (SLUCM), to check the effects of urban parameterization. Our results showed that SLUCM better predicted the arrival time and cooling process of the cold front and more realistically simulated the moving process of the cold front. The improvement in the temperature and relative humidity simulation achieved using SLUCM was more effective under higher urbanization levels, whereas the wind speed simulation was better in rural areas. The simulated concentrations at sites with high urbanization were obviously improved by urban parameterization. The barrier role of the urban canopy during a cold front was better represented and was shown to cause a wider polluted area and higher pollutant concentration using SLUCM than with BULK. Overall, accurate meteorological simulations in the atmospheric boundary layer using SLUCM are expected to provide good prediction of urban air quality.</jats:p>
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author Wang, Jian, Mao, Jingbo, Zhang, Yan, Cheng, Tiantao, Yu, Qi, Tan, Jiani, Ma, Weichun
author_facet Wang, Jian, Mao, Jingbo, Zhang, Yan, Cheng, Tiantao, Yu, Qi, Tan, Jiani, Ma, Weichun, Wang, Jian, Mao, Jingbo, Zhang, Yan, Cheng, Tiantao, Yu, Qi, Tan, Jiani, Ma, Weichun
author_sort wang, jian
container_issue 2
container_start_page 0
container_title Atmosphere
container_volume 10
description <jats:p>Urbanization significantly influences meteorological conditions and air quality. Statistically, air pollution in the megacity of Shanghai usually occurs with cold weather fronts. An air pollution episode during a cold front was simulated using weather research and forecasting and the Community Multi-scale Air Quality model system. In this study, we used two urban schemes, a simple bulk scheme (denoted BULK) and the single-layer urban canopy model (SLUCM), to check the effects of urban parameterization. Our results showed that SLUCM better predicted the arrival time and cooling process of the cold front and more realistically simulated the moving process of the cold front. The improvement in the temperature and relative humidity simulation achieved using SLUCM was more effective under higher urbanization levels, whereas the wind speed simulation was better in rural areas. The simulated concentrations at sites with high urbanization were obviously improved by urban parameterization. The barrier role of the urban canopy during a cold front was better represented and was shown to cause a wider polluted area and higher pollutant concentration using SLUCM than with BULK. Overall, accurate meteorological simulations in the atmospheric boundary layer using SLUCM are expected to provide good prediction of urban air quality.</jats:p>
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spelling Wang, Jian Mao, Jingbo Zhang, Yan Cheng, Tiantao Yu, Qi Tan, Jiani Ma, Weichun 2073-4433 MDPI AG Atmospheric Science Environmental Science (miscellaneous) http://dx.doi.org/10.3390/atmos10020079 <jats:p>Urbanization significantly influences meteorological conditions and air quality. Statistically, air pollution in the megacity of Shanghai usually occurs with cold weather fronts. An air pollution episode during a cold front was simulated using weather research and forecasting and the Community Multi-scale Air Quality model system. In this study, we used two urban schemes, a simple bulk scheme (denoted BULK) and the single-layer urban canopy model (SLUCM), to check the effects of urban parameterization. Our results showed that SLUCM better predicted the arrival time and cooling process of the cold front and more realistically simulated the moving process of the cold front. The improvement in the temperature and relative humidity simulation achieved using SLUCM was more effective under higher urbanization levels, whereas the wind speed simulation was better in rural areas. The simulated concentrations at sites with high urbanization were obviously improved by urban parameterization. The barrier role of the urban canopy during a cold front was better represented and was shown to cause a wider polluted area and higher pollutant concentration using SLUCM than with BULK. Overall, accurate meteorological simulations in the atmospheric boundary layer using SLUCM are expected to provide good prediction of urban air quality.</jats:p> Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai Atmosphere
spellingShingle Wang, Jian, Mao, Jingbo, Zhang, Yan, Cheng, Tiantao, Yu, Qi, Tan, Jiani, Ma, Weichun, Atmosphere, Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai, Atmospheric Science, Environmental Science (miscellaneous)
title Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_full Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_fullStr Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_full_unstemmed Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_short Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
title_sort simulating the effects of urban parameterizations on the passage of a cold front during a pollution episode in megacity shanghai
title_unstemmed Simulating the Effects of Urban Parameterizations on the Passage of a Cold Front During a Pollution Episode in Megacity Shanghai
topic Atmospheric Science, Environmental Science (miscellaneous)
url http://dx.doi.org/10.3390/atmos10020079