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A Model for Predicting Coastal Aerosol Size Distributions in Chinese Seas

机译:一种预测中国海洋沿海气溶胶尺寸分布的模型

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Aerosol is a key factor in the study of interactions between light and radiation. In coastal environments, the diversity and complexity of aerosol components make it difficult to accurately determine their microphysical and optical properties. In this paper, the analysis focuses on the aerosol size distribution (ASD) prediction in the coasts of the South China Sea (SCS, Maoming) and the Yellow Sea (YS, Qingdao). Due to large differences in spatial scale with respect to geographical and meteorological conditions, ASD in Maoming and Qingdao showed large differences. On the basis of Navy Aerosol Model (NAM) and Piazzola et al.'s models, combined with the observation data of Maoming and Qingdao, a coastal aerosol model (CAM) was developed to predict ASD for Chinese coastal environment. The aerosol concentration is calculated by the function of fetch and wind speed. Although the aerosol distributions at the two sites are quite different, the CAM is found to be applicable to both sites. Furthermore, the CAM was used in predicting the ASDs in the SCS against the research ship Shenkuo cruise data. The model results were in agreement with the measured values in coastal zone. The model presented in this work would be a useful tool to model ASDs in Chinese coastal seas. Plain Language Summary This study focuses on the aerosol size distribution (ASD) prediction in the coasts of the South China Sea (SCS, Maoming) and the Yellow Sea (YS, Qingdao). Maoming and Qingdao showed large differences in the ASD due to the differences in geographical environment, climatic conditions. Based on previous studies and observation data, a coastal aerosol model (CAM) was developed to predict ASD for Chinese coastal environment. A variable, that is, the fetch, was introduced in CAM, instead of the dimensionless air mass parameter (AMP) used in the existed prediction models, to describe the coast effect on the ASD. Although the aerosol distributions at the two sites are quite different, experimental validation results both showed that the CAM was in reasonable agreement with the measured data. ASDs predictions compared with the SCS measurements (from the research ship Shenkuo cruise) also showed the good performance of CAM in coastal zones.
机译:气溶胶是在光和辐射之间的相互作用研究的关键因素。在沿海环境中,气溶胶组分的多样性和复杂性使得难以准确地确定其微手术和光学性质。在本文中,分析侧重于南海(SCS,茂名)和黄海(Ys,青岛)海岸的气溶胶大小分布(ASD)预测。由于地理和气象条件的空间规模差异很大,茂名和青岛的ASD显示出大的差异。在海军气溶胶模型(NAM)和Piazzola等人的基础上。建立了一个沿海气溶胶模型(CAM)的Maoming和青岛的观测数据,以预测中国沿海环境。通过拾取和风速的功能来计算气溶胶浓度。虽然两个站点的气溶胶分布是完全不同的,但发现凸轮适用于两个站点。此外,该凸轮用于预测SCS中的ASDS,针对研究船舶避难所巡航数据。模型结果与沿海地区的测量值一致。这项工作中呈现的模型将成为中国沿海海域的ASDS模拟ASD的有用工具。普通语言摘要本研究侧重于南海(SCS,茂名)和黄海(YS,青岛)海岸的气溶胶大小分布(ASD)预测。由于地理环境,气候条件的差异,茂名和青岛在ASD中表现出大的差异。基于以前的研究和观察数据,开发了一种沿海气溶胶模型(CAM),以预测中国沿海环境。在CAM中引入的变量,即获取,而不是存在预测模型中使用的无量度的空气质量参数(AMP),以描述ASD上的海岸效果。虽然两个站点的气溶胶分布是完全不同的,但实验验证结果均显示凸轮与测量数据合理一致。与SCS测量相比(从研究船舶巡航)相比,ASDS预测也表现出沿海地区凸轮的良好表现。

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