Optimization of vertical grid setting for air quality modelling in China considering the effect of aerosol-boundary layer interaction
Optimization of vertical grid setting for air quality modelling in China considering the effect of aerosol-boundary layer interaction
复制标题
考虑气溶胶-边界层相互作用影响的中国空气质量模拟垂直网格设置优化
DOI：
10.1016/j.atmosenv.2019.04.042
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发表时间：
2019-08
影响因子：
5
通讯作者：
Ding Aijun
中科院分区：
文献类型：
--
作者：
Wang Zilin;Huang Xin;Ding Aijun
大气气溶胶与行星边界层气象学之间的反馈作用在灰霾污染的增强中起着重要作用。气溶胶的垂直分布以及温度层结对于了解气溶胶-边界层相互作用（ABI）及其对空气质量恶化的影响至关重要。在目前的区域空气质量模式中，默认的垂直网格设置相对粗糙，并随高度逐渐减小。然而，ABI是敏感的气溶胶层在特定的高度，即周围的顶部边界层。这项工作旨在探索优化的垂直网格设置，以更好地表征ABI及其在空气质量恶化中的作用。考虑到模型性能和计算成本之间的平衡，使用单柱模型（SCM）进行灵敏度测试。然后将优化后的网格设置应用于中国东部地区的三维空气质量模拟。与默认配置相比，优化后的配置能够更好地表征灰霾天气过程中的温度分层和极端细颗粒物（PM2. 5）浓度及其日变化。具体地说，在应用优化设置时，PBL高度的平均降低约为5%，表面PM2. 5浓度的平均增加约为20%，从而将PM2. 5浓度的平均偏差从30 μg/m3降低到5 μg/m3。这些改进主要是由于气溶胶及其加热效应的廓线更加准确，从而稳定了低层大气。垂直网格设置的优化可应用于中国东部和印度等吸收性气溶胶浓度高的地区，这有助于更好地预测极端近地面污染事件。
The feedback between ambient aerosols and planetary boundary layer (PBL) meteorology has been proven to play a critical role in the enhancement of haze pollution. Vertical distribution of aerosols as well as temperature stratification are vital to understand aerosol – boundary layer interaction (ABI) and its impact on air quality deterioration. In current regional air quality models, the default vertical grid setting is relatively coarse and decreases progressively with altitude. However, the ABI is sensitive to aerosol layer at specific altitudes, i.e. around the top of PBL. This work aims to explore optimized vertical grid setting for better characterizing ABI and its role in air quality degradation. A single column model (SCM) is used for sensitivity tests considering the balance between model performance and computational cost. This optimized grid setting is then applied in three-dimensional air quality modelling in eastern China. Compared with default configuration, the optimized one is demonstrated to perform much better in characterizing temperature stratification and extreme fine particle (PM2.5) concentration as well as its diurnal variation during haze episodes. Specifically, the averaged decrease in PBL height and increment in surface PM2.5concentration are about 5% and 20% while applying optimized setting, thereby reducing the mean bias from 30 to 5 μg/m3in PM2.5concentration. The improvements could be attributed mainly to more accurate profiles of aerosol and its heating effect, and thus stabilized lower atmosphere. The optimization of vertical grid setting could be applied to areas with high concentration of absorbing aerosols such as eastern China and India, which could help better predict extreme near-surface pollution episodes.
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中国长江三角洲生物质燃烧和残余层老化羽流垂直混合对臭氧的影响：多日臭氧事件的系留气球测量和建模研究
影响因子：
4.4
作者：
Xu Zhengning;Huang Xin;Nie Wei;Shen Yicheng;Zheng Longfei;Xie Yuning;Wang Tianyi;Ding Ke;Liu Lixia;Zhou Derong;Qi Ximeng;Ding Aijun
通讯作者：
Ding Aijun
DOI：
10.1073/pnas.1525746113
发表时间：
2016-10
期刊：
Proceedings of the National Academy of Sciences
影响因子：
--
作者：
E. Wilcox;Rick M. Thomas;P. S. Praveen;K. Pistone;F. Bender;V. Ramanathan
通讯作者：
E. Wilcox;Rick M. Thomas;P. S. Praveen;K. Pistone;F. Bender;V. Ramanathan
DOI：
10.1002/qj.3497
发表时间：
2019-04
期刊：
Quarterly Journal of the Royal Meteorological Society. Royal Meteorological Society (Great Britain)
影响因子：
--
作者：
P. Xian;J. Reid;E. Hyer;C. Sampson;J. Rubin;M. Ades;N. Asencio;S. Basart;A. Benedetti;P. B
通讯作者：
P. Xian;J. Reid;E. Hyer;C. Sampson;J. Rubin;M. Ades;N. Asencio;S. Basart;A. Benedetti;P. B
影响因子：
3.4
作者：
Xiao-dong Liu;Ying Hui;Z. Yin;Zhaosheng Wang;Xiaoning Xie;J. Fang
通讯作者：
Xiao-dong Liu;Ying Hui;Z. Yin;Zhaosheng Wang;Xiaoning Xie;J. Fang
影响因子：
4.4
作者：
Ek, MB;Mitchell, KE;Tarpley, JD
通讯作者：
Tarpley, JD