北京大学大气环境模式PUMA的改进及其在沈阳地区的应用研究

为拓展北京大学大气环境模式(PUMA)的应用, 对其进行两方面的改进。首先, 用新一代中尺度气象模式WRF提供气象场驱动PUMA; 其次, 新增非局地湍流扩散系数Grisogono方案。 为验证改进后的模拟能力, 将PUMA运用于沈阳地区冬季大气SO₂污染研究。模拟结果和观测比对表明: WRF可以提供合理的气象场; PUMA可以模拟出SO₂浓度月尺度变化和日变化; Grisogono方案在中午对流边界层条件下对模拟结果有所改善。SO₂浓度有明显的日变化, 白天浓度低, 夜间浓度高, 模拟结果表明SO₂浓度和边界层高度的日变化成负相关。改进后的PUMA可以在大气环境预报预警中得到应用。

Improvements to the Peking University Model of Atmospheric Environment (PUMA) and Its Application over Shenyang,China

Two improvements were introduced to the Peking University model of atmospheric environment(PUMA) to expand its utility.First,a new generation of mesoscale meteorological model WRF was adopted to provide meteorological fields for PUMA;second,Grisogono scheme,a non-local vertical turbulent mixing parameterization,was introduced into PUMA.Both WRF and PUMA were evaluated with observed data over Shenyang China in winter.Under convective boundary layer at noon,PUMA was improved by Grisogono scheme.The diurnal cycle of SO2,with low values during daytime and high values during nighttime,was negatively related to the cycle of boundary layer height according to the simulation.The improved PUMA can be applied to atmospheric environment forecasting and warning.