Dynamic downscaling simulation of temperature and precipitation in the Qilian Mountains and its surrounding areas
The study region is located in the Qilian Mountains and its surrounding areas,which are sensitive zone for monsoon-westerly interaction,and have complex climate change mechanisms.In this paper,a one-year sensitivity test was conducted to select the optimum parameterization scheme combination from five sets of schemes.With the optimum parameterization setting,a ten-year dynamic downscaling simulation of the study re-gion was carried out over the period 2005-2014 using the regional climate model WRF driven by bias-corrected CMIP6 data.The results show that:(1)The WRF model is capable to simulate the air temperature well;differ-ent Parameterization scheme combinations perform weak effect on the simulation of temperature whilst the simu-lation of precipitation by the WRF model is more influenced by the parametric scheme combinations;and the simulation accuracy of precipitation is generally poorer than that of temperature.Sensitivity tests on the Parame-terization scheme combinations show that the parametric scheme combination of the Thompson cloud microphys-ics scheme,Grell-D cumulus convection scheme,RRTM-Dudhia radiation physics scheme,and Noah land sur-face process scheme is the most suitable for the Qilian Mountains and surrounding areas.The results of the sensi-tivity tests on topographic data show no significant improvement in the simulation of temperature and precipita-tion.(2)The spatial distribution characteristics of simulated temperature and precipitation are generally able to reproduce the observed datasets.The spatial distribution of temperature and precipitation is greatly influenced by the altitude,with lower temperature but more precipitation at the higher altitudes than the surrounding lower alti-tudes;the correlation coefficients between the simulated and observed temperature is much significant than that on precipitation.Simulation biases are mainly identified in the underestimation of temperature but overestimation of precipitation.At the station sites,both simulated temperature and precipitation have almost identically normal distribution patterns for observed temperature and precipitation,specifically with deviations in winter tempera-ture and summer precipitation simulations at each station.
NETL
NSTL
万方数据
维普
