由封闭路径涡旋-协方差通量系统采样气流的声波温度和水汽混合比推导出的空气温度方程

Xinhua Zhou, Tian Gao, E. Takle, Xiaojie Zhen, A. Suyker, T. Awada, J. Okalebo, Jiaojun Zhu
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引用次数: 0

摘要

摘要气温在大气与生态系统之间通量交换的许多方面起着重要的作用。此外,知道在哪里(相对于其他基本测量)和以什么频率测量T才能准确地描述这种交换是至关重要的。在封闭路径涡旋协方差(CPEC)通量系统中,T可由三维声波风速仪和红外气体分析仪的快速响应传感器分别测量的声波温度(Ts)和水汽混合比计算得到。T的计算方法为T = Ts (1 + 0.51q)−1,其中q为比湿度,或者T = Ts (1 + 0.32e / P)−1,其中e为水蒸气压,P为大气压。将q和e / P转换成相同的水汽混合比,可以解析出这两个方程的差异。在CPEC系统中,这种差异可以达到±0.18 K,这给两个方程的T精度带来了不确定性,并提出了哪个方程更好的问题。为了澄清不确定性并回答这个问题,我们深入研究了以Ts和h2o相关变量表示的T方程的推导。上面两个方程是用近似值推导出来的。因此,它们的准确性都没有得到评估,问题也没有得到回答。本研究基于第一性原理,在不做任何假设和近似的情况下,导出了用Ts和水蒸气摩尔混合比(χH2O)表示的T方程。因此,该方程本身不存在任何误差,该方程(方程-计算T)在T中的精度仅取决于Ts和χH2O的测量精度。根据cpe300系列中Ts和χH2O的当前规格,并考虑到其最大的测量不确定度,公式计算T的精度指定在±1.01 K内。该精度不确定度主要来自Ts测量的不确定度(±1.00 K),而来自χH2O测量的不确定度较小(±0.03 K)。显然,测量技术的改进,特别是对t的测量技术的改进,将是缩小这一精度范围的关键。在正常的传感器和天气条件下,规定的精度被高估,实际精度更好。方程计算T的频率响应相当于高频T,并且在测量期间对太阳污染不敏感。该T在测量频率的时间尺度上同步,在测量体积的空间尺度上与所有气动和热力学变量匹配,在边界层气象学和应用气象学中具有先进的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air temperature equation derived from sonic temperature and water vapor mixing ratio for air flow sampled through closed-path eddy-covariance flux systems
Abstract. Air temperar (T) plays a fundamental role in many aspects of the flux exchanges between the atmosphere and ecosystems. Additionally, it is critical to know where (in relation to other essential measurements) and at what frequency T must be measured to accurately describe such exchanges. In closed-path eddy-covariance (CPEC) flux systems, T can be computed from the sonic temperature (Ts) and water vapor mixing ratio that are measured by the fast-response senosrs of three-dimensional sonic anemometer and infrared gas analyzer, respectively. T then is computed by use of either T = Ts (1 + 0.51q)−1, where q is specific humidity, or T = Ts (1 + 0.32e / P)−1, where e is water vapor pressure and P is atmospheric pressure. Converting q and e / P into the same water vapor mixing ratio analytically reveals the difference between these two equations. This difference in a CPEC system could reach ±0.18 K, bringing an uncertainty into the accuracy of T from both equations and raises the question of which equation is better. To clarify the uncertainty and to answer this question, the derivation of T equations in terms of Ts and H2O-related variables is thoroughly studied. The two equations above were developed with approximations. Therefore, neither of their accuracies were evaluated, nor was the question answered. Based on the first principles, this study derives the T equation in terms of Ts and water vapor molar mixing ratio (χH2O) without any assumption and approximation. Thus, this equation itself does not have any error and the accuracy in T from this equation (equation-computed T) depends solely on the measurement accuracies of Ts and χH2O. Based on current specifications for Ts and χH2O in the CPEC300 series and given their maximized measurement uncertainties, the accuracy in equation-computed T is specified within ±1.01 K. This accuracy uncertainty is propagated mainly (±1.00 K) from the uncertainty in Ts measurements and little (±0.03 K) from the uncertainty in χH2O measurements. Apparently, the improvement on measurement technologies particularly for Ts would be a key to narrow this accuracy range. Under normal sensor and weather conditions, the specified accuracy is overestimated and actual accuracy is better. Equation-computed T has frequency response equivalent to high-frequency Ts and is insensitive to solar contamination during measurements. As synchronized at a temporal scale of measurement frequency and matched at a spatial scale of measurement volume with all aerodynamic and thermodynamic variables, this T has its advanced merits in boundary-layer meteorology and applied meteorology.
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