WRF模式不同微物理方案对一次强降雪的模拟

Simulation of a Heavy Snowfall Using Different Microphysical Schemes in the WRF Mode

利用WRF模式对我国青藏高原拉萨及周边地区一次冬季强降雪事件进行高分辨率数值模拟,评估了不同微物理参数化方案对强降雪事件的模拟能力。结果显示,不同微物理参数化方案基本都能模拟出拉萨及周边地区降水的空间分布、降雪的时间演变及降雪量大小,其中模拟效果最好的微物理参数化方案为Goddard 4-ice,其模拟的累积降雪量和站点观测之间的均方根误差为0.33,相关系数为0.92。Ferrier方案对模式模拟的总降雪量较观测偏高,WSM3和WSM5方案模拟值较其他方案明显偏低。

The WRF model is used to simulate a heavy snowfall event in winter in Lhasa and its surrounding areas on the Qing-hai-Tibet Plateau in China,and the simulation ability of different microphysical parameterization schemes for heavy snowfall events is evaluated.The results show that different microphysical parameterization schemes can basically simulate the temporal and spatial distribution and snowfall of heavy snowfall in Lhasa and surrounding areas,among which the best microphysical parameterization scheme is Goddard 4-ice,which simulates the root mean square error between the cumulative snowfall and the station observation is 0.33 and the correlation coefficient is 0.92.The total snowfall simulated by the Ferrier scheme is higher than that observed,and the simulated values of WSM3 and WSM5 are significantly lower than those of other schemes.