Simulation of summer climate over Central Asia shows high sensitivity to different land surface schemes in WRF

Abstract Land surface processes are vital to the performance of regional climate models in dynamic downscaling application. In this study, we investigate sensitivity simulation by using weather research and forecasting (WRF) model at 10-km resolution land schemes over Central Asia. The WRF was run for 19 summers from 2000 2018 configured with four different including CLM4, Noah-MP, Pleim-Xiu SSiB, hereafter referred as Exp-CLM4, Exp-Noah-MP, Exp-PX Exp-SSiB respectively. initial boundary conditions simulations were provided National Centers Environmental Prediction Final (NCEP-FNL) Operational Global Analysis data. ERA-Interim reanalysis (ERAI), GHCN-CAMS CRU gridded data used comprehensively evaluate simulations. Compared observational data, can reasonably reproduce spatial patterns summer mean 2-m temperature, precipitation, large- scale atmospheric circulation. simulations, however, sensitive option scheme. Exp-CLM4 better than that Exp-Noah-MP assessed Multivariable Integrated Evaluation (MVIE) method. To understand physical mechanisms model’s schemes, differences energy balance between Ave-CLM4-SSiB (the ensemble average Exp-SSiB) Ave-NoanMP-PX Exp-PX) analyzed detail. results demonstrate sensible latent heat fluxes respectively lower 30.42 W·m −2 higher 14.86 Ave-NoahMP-PX. As a result, large geopotential height occur domain. simulated wind fields subsequently influenced geostrophic adjustment process, thus skin temperature precipitation about 2.08 ℃, 2.23 ℃ 18.56 mm·month −1 Ave-NoahMP-PX Asia continent.