image: (a)–(d) are the fitting linear relationships, Dut = Dur, related to the longitudinal velocity after 10-min, 20-min, and 40-min high-pass filtering and without filtering, respectively; (e)–(h) are the fitting linear relationships, Dvt = Dvr, related to the cross velocity after 10-min, 20-min, and 40-min high-pass filtering and without filtering, respectively. view more
Credit: ©Science China Press
This study is led by Dr. Chen (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences). Based on the principle of turbulence correlation and ensemble averaging, they first used four-site observations of atmospheric turbulence under complex conditions. On the basis of the fact that atmospheric turbulence in the atmospheric boundary layer is usually random and stationary, the time series data of each point were combined with the spatial distribution to form a long time series. This can be used to analyze the various states of regional turbulence observation, and to more comprehensively analyze turbulence structure and estimate turbulence spectra.
Using the four-site observation data under the complex conditions of the "loess plateau" region, it was demonstrated that the various states of turbulence can be more easily satisfied with four-site turbulence observations on the scale of the entire atmospheric boundary layer (<1 hour time scale). The comparison between the velocity second-order structure function determined by a single site and the velocity second-order structure function between two sites directly verified the theory of turbulence correlation. Therefore, the turbulence structure and turbulence flux determined by the newly established long time series data are more representative of the regional turbulence field.
See the article:
Chen J, Chen X, Jia W, Yu Y, Zhao S. 2023. Multi-sites observation of large-scale eddy in surface layer of Loess Plateau. Science China Earth Sciences, 66(4): 871–881, https://doi.org/10.1007/s11430-022-1035-4
Journal
Science China Earth Sciences