Assessing the Impact of Cumulus Parameterization Schemes on Simulated Summer Wind Speed over Mainland China

Wind speed is an important meteorological parameter, whose simulation influenced by various physical process parameterizations. However, the impact of cumulus parameterization schemes (CPSs) on wind at climate scale has not been sufficiently investigated in previous studies. Using Advanced Research version Weather and Forecasting model (ARWv3) hydrostatic change equation, we assessed effects four CPSs a 10 m over mainland China summer 2003. In general, different can reproduce distribution. Meanwhile, sensitivity to was found be highest East southern China, followed Tibetan Plateau, then Northwest China. We that main processes influencing (i.e., pressure gradient (PRE), diffusion (DFN), convection (CON) terms) vary greatly with sub-regions. mainly affect secondary CON regulates balance between dominant terms PRE DFN, also significant effect PRE. For example, for CON, difference index (DIF) Kain–Fritsch (KF) KF (pKF) larger than 20%, corresponding DIF about 14%. The term local (Vt) significantly more sensitive other 283% suggesting high CPS simulated speed. addition, explained causes CPS-induced sensitivities. This work helps understand (WRF) performance emphasizes importance choice simulating/forecasting