涡动相关法通量数据处理研究概述
Overview of Flux Data Processing by Eddy Covariance Technique
中文摘要：
涡动相关法可直接测定地气间水热通量，成为国际上陆面过程野外观测试验中广泛应用的技术方法。但地表环境通常难以达到理论要求的标准，观测偏差会对地表能量平衡以及陆面模拟产生影响。通量数据质量不仅是长期野外观测试验可行性的基础，而且不同地表环境高质量通量数据对于全球气候变化响应研究具有一定意义。通过概述涡动相关法数据预处理、坐标旋转校正、频率响应校正、超声虚温校正和空气密度效应校正处理方法在不同下垫面的应用成果，以及数据处理过程对通量的影响和不同校正方法在下垫面的适用性选择，在探讨涡动相关法通量数据处理方法不足的基础上对未来的研究展开讨论。
中文关键词：
涡动相关法，湍流通量，数据处理
KeyWords：
eddy covariance technique, turbulent flux, data processing
Abstract：
In the field observation experiment of land surface process, the eddy covariance technique can directly measure the water vapor and heat fluxes between ground and atmosphere, which has become a widely used technique and method in the world. However, the surface observation conditions are difficult to meet the theoretically requirements, and the observation deviation will have an impact on the surface energy balance and land surface simulation. Flux data quality is not only the basis for the feasibility of long-term field observation experiments, but also high-quality flux data from different surface environments has a certain significance for the study of global climate change response. This paper summarized the application results of the eddy covariance technique, the influence of data processing on the flux and the applicable selection of different correction methods in the underlying surface, applying the data preprocessing, coordinate rotation correction, frequency response correction, sonic temperature correction and air density correction. On the basis of discussing the deficiency of flux data processing method of eddy covariance technique, the future research is discussed.