GRAPES模式中不同陆面方案对新疆一次强降水事件的模拟

本文采用中尺度数值预报模式GRAPES_Meso V3.3.2.5版本以及NECP的GFS资料,分别选用模式中不同陆面参数化方案(SLAB、LSM、NOAH)对2013年9月14-17日新疆强降水过程进行数值模拟试验,模拟的结果表明：陆面方案对主要雨带的落区和大致走向影响并不大,但对降强度的模拟还是敏感的,耦合陆面方案比不耦合陆面方案的模拟效果更接近实况；不同陆面方案模拟的降水量存在一定差异,它们对降水中心落点、强度以及类型方面各有所长；在各种试验的综合比较中,NOAH方案较其他方案的模拟结果显得更稳定与合理。

Simulation of a Heavy Rainfall Case in Xinjiang Using the GRAPES Model with Different Land Surface Schemes

The mesoscale numerical prediction model GRAEPS_Meso V3.3.2.5 version and National Centers for Environmental Prediction (NCEP) GFS data are used to simulation a heavy rainfall event in Xinjiang during 14-17 September 2013, and the precipitation sensitivity to land surface parameterization schemes is tested. The results show that the simulated precipitation patterns from GRAPES model generally agree with the observations, and the sensitivity of the precipitation simulation to the land surface physical process is distinct. Coupling the surface process parameterization scheme can improve the precipitation significantly. However, the details of simulated precipitation center point, amount and precipitation types are different among the land surface parameterization schemes. Comparing all results of precipitation simulation with different land surface parameterization schemes, NOAH scheme gives more reasonable and stable than the others.