海表湍流通量交换是海气相互作用的关键，其准确计算对研究海气相互作用和改进气候模式至关重要。大气边界层中晴空自由对流运动和深对流运动会产生中尺度阵风，阵风通过增大海表风速使得局地湍流通量增加（即阵风效应）。观测表明，在热带海洋降水带上，当海表平均风速较弱且多变时，阵风效应可占海表湍流通量的30%。然而，目前海气耦合模式尚未考虑阵风效应，由此导致海表湍流通量计算存在不确定性，进而影响模式的气候模拟能力。针对上述问题，本项目拟在海气耦合模式NCAR CESM中引入阵风参数化，以改进模式的海表湍流通量计算方案；并进一步评估引入阵风参数化的影响。为此，利用引入阵风参数化的NCAR CESM模式进行数值模拟试验，与不包含阵风参数化的NCAR CESM模式结果和再分析资料比较分析，研究阵风参数化对海表通量、海气耦合系统及气温和降水模拟效果的影响，为改善海气耦合模式的物理过程参数化提供理论依据。

The exchange of sea surface turbulent fluxes plays a key role in the air-sea interaction.It is very important to describe correctly the sea surface turbulent fluxes for understanding the air-sea interaction and improving the simulation capabilities of the climate models.Wind gustiness,which originates from fair weather convective motions in the boundary layer and deep convection,obviously increases the local sea surface turbulent fluxes by enhancing sea surface wind speed(namely the wind gustiness effect).Observational analysis shows that the magnitude of wind gustiness enhancement of monthly averaged sea surface fluxes can reach 30% during occasional periods with weak and variable winds over tropical ocean rainfall zones.However,the wind gustiness effect is not considered in coupled ocean-atmosphere models,which leads to the simulated sea surface turbulent fluxes existing uncertainties,and further depresses the climate simulation capabilities.Aiming at these problems above,this study will consider the wind gustiness parameterization in the NCAR(National Center for Atmospheric Research) CESM(Community Earth System Model),to improve the computation scheme of sea surface turbulent fluxes.On this basis,numerical simulations are run by NCAR CESM with or without the wind gustiness parameterization in the the computation scheme of sea surface turbulent fluxes.Furthmore,by the statistical diagnosis method,this study analyzes the influence of the wind gustiness parameterization on the simulations of sea surface fluxes,air-sea coupled system,air temperature and rainfall,in order to provide theoretical basis for improving physical process parameterization in coupled ocean-atmosphere models.