中国激光, 2019, 46(1): 0110002, 网络出版: 2019-05-09

基于激光雷达对WRF模式模拟边界层高度的评估

Evaluation of Boundary Layer Height Simulated by WRF Mode Based on Lidar
作者单位

1安徽大学物质科学与信息技术研究院, 安徽 合肥 230601

2中国科学院安徽光学精密机械研究所环境光学与技术重点实验室, 安徽 合肥 230031

摘要
2015年12月份重污染频发的北京市先后启动两次大气重污染红色预警。本研究根据中科院大气物理研究所铁塔分部激光雷达的立体探测数据,采用梯度法反演北京市区大气边界层高度,并对中尺度数值模式WRF的模拟结果进行评估。结果表明,虽然两种方法的结果具有较好的一致性,但是极值并没有很好地吻合。激光雷达反演边界层高度日变化与WRF模拟结果的相关性达到0.76,均方根误差为163 m,平均偏差为-61 m。同时发现在清洁天气下,WRF模拟的准确性要高于污染天气下的模拟结果。此外地面观测的PM2.5质量浓度与激光雷达反演的大气边界层高度相关性达到-0.85。
Abstract
Severe haze occurred in Beijing frequently during December 2015, which had launched two red alerts for atmospheric heavy pollution. In this paper, according to the lidar stereo data at the tower of the institute of atmospheric physics of the Chinese academy of sciences, the atomspheric boundary layer height of Beijing city is retrieved by gradient method, and the simulation results of the mesoscale numerical WRF model are evaluated. The results show that the two methods have good consistency, but the extreme values are not very consistent. The correlation between lidar inversion of daily variation of boundary layer height and WRF simulation results reaches 0.76, the root mean square error is 163 m, and the average deviation is -61 m. Meanwhile, the accuracy of WRF simulation in clean weather is higher than that in polluted weather. In addition, the correlation between the observed PM2.5 mass concentration and the ABLH of lidar inversion is -0.85.
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