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DOI10.1016/j.atmosenv.2019.117139
Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China
Peng Y.; Wang H.; Hou M.; Jiang T.; Zhang M.; Zhao T.; Che H.
发表日期2020
ISSN1352-2310
卷号222
英文摘要Atmospheric visibility affects people's everyday lives and its simulation accuracy is therefore important, especially in low visibility conditions. Two fog–haze pollution episodes (episode 1, 16–21 December 2016 and episode 2, 30 December 2016–7 January 2017) in the Beijing–Tianjin–Hebei (Jing-Jin-Ji) region of China are simulated using the GRAPES_CUACE atmospheric chemistry model. The simulation of low visibility is significantly overestimated by the model. The observational data show that a decrease in visibility is closely related to the increase of the mass concentration of aerosol particles and the increase of the relative humidity. However, the contribution of aerosol particles to extremely low visibility is less than that of the relative humidity. When visibility is < 5 or even 2 km, the relative humidity is often >80% or near saturation. High humidity promotes the hygroscopic growth of aerosols, and it also favors the formation of fog droplets. Besides the strongly enhanced aerosol extinction coefficient due to hygroscopic growth at high relative humidity conditions that may be underestimated by the IMPROVE scheme, the further degradation of visibility may also depend on extinction from fog droplets which is absent in the IMPROVE scheme. An improved visibility parameterization focusing on low visibility is proposed based on the IMPROVE equation by including the direct extinction coefficient bf of fog droplets in the original parameterization. Focusing on the two fog–haze episodes, the simulation results with the improved parameterization show an overall improvement in the simulation of low visibility over the whole Jing-Jin-Ji region. The errors in the simulation of visibility by the improved parameterization averaged over the Jing-Jin-Ji region are reduced by 65%–88% relative to the original parameterization. In addition, the improved parameterization greatly improves the visibility simulation accuracies (VSAs) of 5 km, especially 3 km. © 2019 Elsevier Ltd
关键词Extinction coefficientFog-haze weatherParameterization schemeSimulationVisibility
语种英语
scopus关键词Aerosols; Atmospheric chemistry; Atmospheric humidity; Drops; Focusing; Fog; Parameterization; Aerosol extinction coefficient; Atmospheric chemistry model; Atmospheric visibility; Extinction coefficients; High relative humidities; Low visibility conditions; Parameterization schemes; Simulation; Visibility; aerosol; atmospheric chemistry; atmospheric modeling; concentration (composition); extinction coefficient; fog; haze; humidity; methodology; parameterization; simulation; visibility; aerosol; article; case report; China; clinical article; grape; haze; human; humidity; nonhuman; simulation; visibility; Beijing [China]; China; Hebei; Jingjinji; Tianjin
来源期刊ATMOSPHERIC ENVIRONMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/249428
作者单位Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, 210044, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; State Power Investment Corporation Guangxi, Electric Power Company Limited Guilin Branch, Guilin, 541100, China; Institute for Disaster Risk Management, School of Geographical Science, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Beijing Meteorological Service, Beijing, 100089, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
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Peng Y.,Wang H.,Hou M.,等. Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China[J],2020,222.
APA Peng Y..,Wang H..,Hou M..,Jiang T..,Zhang M..,...&Che H..(2020).Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China.ATMOSPHERIC ENVIRONMENT,222.
MLA Peng Y.,et al."Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China".ATMOSPHERIC ENVIRONMENT 222(2020).
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