Statistical properties of turbulence, specifically variances of velocity components, temperature, water vapor, and carbon dioxide densities, are observationally characterized using turbulence measurements carried out between 2009 and 2017, at 25.4 m above surface in a suburban area in the metropolitan region of São Paulo (MRSP), Brazil. An objective analysis indicated that the best method to evaluate the zero-plane displacement (d), among five morphometric and anemometric methods is the temperature variance method. A new procedure based on the convergence of these methods is proposed to estimate the accuracy of the aerodynamic parameters. Normalized standard deviation of wind components and scalar properties are described by similarity functions based on Monin–Obukhov similarity theory. Uncertainties in d and Obukhov length are propagated to similarity functions derived for the MRSP and indicated uncertainties of up to 12% (22%) for wind components, 15% (23%) for temperature, 6% (23%) for water vapor and 11% (23%) for carbon dioxide densities during stable (unstable) conditions. By hypothesis testing it was demonstrated that the coefficients of normalized standard deviations of wind components for neutral stability conditions found at MRSP can be considered statistically equal to Roth’s urban averages (Q J R Meteorol Soc126:941–990, 2000), revealing the universal character of these functions. This agreement, added to other evidence, indicates that measurements used in the present study were performed in the inertial sublayer.

湍流的统计特性，特别是速度分量、温度、水蒸气和二氧化碳密度的变化，使用 2009 年至 2017 年间在圣保罗大都市区郊区地面以上 25.4 m 进行的湍流测量进行观测表征(MRSP)，巴西。客观分析表明，在五种形态测量和风速测量方法中，评估零平面位移（d）的最佳方法是温度方差法。提出了一种基于这些方法收敛的新程序来估计气动参数的准确性。风分量和标量特性的归一化标准偏差由基于莫宁-奥布霍夫相似理论的相似函数描述。不确定性d和 Obukhov 长度传播到为 MRSP 导出的相似函数，表明风分量的不确定性高达 12% (22%)，温度的不确定性高达 15% (23%)，水蒸气的不确定性高达 6% (23%)，水汽的不确定性高达 11% (23%) 用于稳定（不稳定）条件下的二氧化碳密度。通过假设检验，证明了在 MRSP 中发现的中性稳定条件下风分量的归一化标准偏差系数在统计上等于 Roth 的城市平均值（QJR Meteorol Soc126:941–990, 2000），揭示了这些的普遍特征功能。这一协议，加上其他证据表明，本研究中使用的测量是在惯性子层中进行的。