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 simulate 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:(1)The forecast precipitation patterns from GRAPES model generally agree with the observations, and the sensitivity of the precipitation forecast to the land surface physical process is distinct. The precipitation field forecasted by the SLAB scheme is the most similar to the observation field.(2)The precipitation forecasted by different land surface schemes in selected heavy rainfall area is smaller than the observation. Comparing all results of precipitation forecast with different land surface parameterization schemes, NOAH scheme gives more reasonable and stable forecast effect than the others.
国家科技期刊平台
NSTL
万方数据
维普
