中文摘要：

实时四维的数据吸收(RT-FDDA ) 系统被用于山论的积雪场改进。模型与 18， 6 和 2 km 的格子间距有三个嵌套的领域。评估冬季的模拟山论的云和猛冲，比较在模型模拟和观察之间被做决定模型怎么模仿云分发，云高度，遮蔽垂直侧面和雪降水。与 2-km 分辨率骑车的 02:00 UTC 的模仿的结果在比较被使用。观察包括 SNOTEL，云幕灯，发出声音并且卫星数据，从地面通风。这些观察的确认显示天气研究并且预报(WRF ) RT-FDDA 系统提供好模拟。在 216 h 模拟的预报时期以内使用数据更好。尽管地面附近的水平风部件有一些，偏爱，和模仿的云高一些并且比观察有更多的范围，模仿的降水比观察弱一些。比较的结果证明 WRF RT-FDDA 模型提供好模拟和罐头在山论的云播种被使用。

英文摘要：

The Real-Time Four-Dimensional Data Assimilation （RT-FDDA） system is used for orographic snowpack enhancement. The model has three nested domains with the grid spacing of 18, 6 and 2 km. To evaluate the simulations of winter orographic clouds and precipitation, comparisons are made between model simulations and observations to determine how the model simulates the cloud distribution, cloud height, cloud vertical profiles and snow precipitation. The simulated results of the 02：00 UTC cycling with 2-kin resolution are used in the comparison. The observations include SNOTEL, ceilometer, sounding and satellite data, from the ground to air. The verification of these observations indicates that the Weather Research and Forecast （WRF） RT-FDDA system provides good simulations. It is better to use data within the forecast period of 2-16 h simulations. Although the horizontal wind component near the ground has some bias, and the simulated clouds are a little higher and have a little more coverage than observed, the simulated precipitation is a little weaker than observed. The results of the comparison show that the WRF RT-FDDA model provides good simulations and can be used in orographic cloud seeding.