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Applicability of RAMS for A Simulation to Provide Inputs to an Air Quality Model: Modeling Evaluation and Sensitivity Test

机译:RAMS在模拟中为空气质量模型提供输入的适用性:建模评估和灵敏度测试

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In this study, the Regional Atmospheric Modeling System (RAMS) is applied to simulate historical wind and temperature fields in the Bang Pakong area of Thailand in order to support a photochemical air quality modeling system in summer and winter time. We use high-resolution datasets of Digital Elevation Model (DEM), global monthly Sea Surface Temperature (SST), and global reanalysis data as a part of the global analysis information for a preparation of geo-terrestrial processes. The studied domain covers the Central and Eastern regions of Thailand. The based model setup includes one-way with the nesting grid of the Bang Pakong area using typical modeling parameters. The configurations of each domain (i.e., time steps and grid resolution) are formulated by grid specifications. The results indicate that RAMS can be applied to the historical meteorology (i.e., wind and temperature fields) over the complex terrain and the coast area. The statistical evaluation is applied in an average basis of the ground surface and found acceptable agreement between available observed and simulated results. Data assimilation by nudging analysis is applied to Thailand's weather information obtained from the Thai Meteorological Department (TMD) to improve modeling simulations. This technique shows the better improvement of modeling performance. Sensitivity tests on some physical parameters and schemes (i.e., convective cumulus and radiation parameters) are conducted to investigate their influence on modeling responses. The modeling performance of physical parameters to the area of study are discussed.
机译:在这项研究中,区域大气建模系统(RAMS)用于模拟泰国Bang Pakong地区的历史风场和温度场,以支持夏季和冬季的光化学空气质量建模系统。我们使用数字高程模型(DEM),全球每月海表温度(SST)和全球再分析数据的高分辨率数据集作为准备地球陆地过程的全球分析信息的一部分。研究领域涵盖泰国的中部和东部地区。基于模型的设置包括使用典型建模参数与Bang Pakong地区的嵌套网格进行单向交互。每个域的配置(即时间步长和网格分辨率)由网格规范制定。结果表明RAMS可以应用于复杂地形和海岸地区的历史气象学(即风和温度场)。统计评估是在地面的平均基础上进行的,并在可用的观测结果和模拟结果之间找到了可接受的一致性。通过微分分析进行的数据同化应用于从泰国气象局(TMD)获得的泰国天气信息,以改进建模仿真。此技术显示了更好的建模性能改善。对某些物理参数和方案(即对流积云和辐射参数)进行了敏感性测试,以研究它们对建模响应的影响。讨论了物理参数对研究领域的建模性能。

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