Observational data from the Atmospheric Boundary Layer and Atmospheric Environment Comprehensive Experimental Station in Naiman, Inner Mongolia, from June to August 2019 were utilized. The turbulent statistical characteristics of pressure and wind speed were analyzed, and the variation relationship between wind-pressure coupling and turbulent kinetic energy was quantified. The results indicate that the pressure variance spectrum follows the overall −5/3 scaling law in the inertial subrange, exhibiting clear non-stationarity and dependence on stratification conditions. The relationship between normalized standard deviation of pressure and stability parameter exhibits a linear pattern based on the turbulent kinetic energy budget equation, while demonstrating an exponential pattern derived from the wind speed budget equation. The temporal derivative of the normalized standard deviation of pressure fluctuation and the wind-pressure covariance spectrum jointly reveal the relationship between wind-pressure coupling and turbulent kinetic energy changes. At sunrise, the wind-pressure coupling is strong, making a positive contribution to turbulent kinetic energy, which gradually weakens with the development of unstable atmospheric layers. After sunset, the wind-pressure coupling is reconstructed and gradually consumes turbulent kinetic energy. The analysis above underscores the significant role of pressure in turbulence kinetic energy, closely tied to atmospheric stratification conditions and essential for understanding atmospheric turbulence. 

利用内蒙古科尔沁地区大气边界层与大气环境综合实验站观测资料, 分析2019年夏季气压与风速的湍流统计特征, 量化风速–气压关联与湍流动能的变化关系。结果表明, 气压方差谱在惯性副区满足−5/3幂次律, 具有明显的非定常性和大气层结依赖性; 基于湍流动能收支方程和风速收支方程的气压脉动归一化标准差与稳定度参数的关系, 分别呈现线性规律和指数规律; 气压脉动归一化标准差的时间变率和风速–气压协方差谱均可以反映风速–气压关联的强度以及与湍流动能变化的关系。日出时, 风速–气压关联较强, 对湍流动能正贡献, 并随大气不稳定层结的发展逐渐减弱; 日落后, 气压–风速关联重新形成, 并逐渐消耗湍流动能。气压对湍流动能的贡献与大气层结条件密切相关, 对大气湍流运动有重要作用。