Detecting Near-Surface Coherent Structure Characteristics Using Wavelet Transform with Different Meteorological Elements

作者：方任之,王也,蓝长星,张智杰,郑丹,蓝光东,王宝民

摘要：In the present study, three wavelet basis functions, i.e., Mexican-hat, Morlet, and Wave, were used to analyze the atmospheric turbulence data obtained from an eddy covariance system in order to determine the effect of six meteorological elements including three-dimensional wind speed, temperature, and CO2and H2O concentrations on the time scale of coherent structures. First, we used the degree of correlation between original and reconstructed waveforms to test the three wavelets’performance when determining the time scale of coherent structures. The Wave wavelet’s reconstructed coherent structure signal best matched the original signal;thus, it was used to further analyze the time scale, number, and time cover of the meteorological elements. We found similar results for all elements, though there was some internal variation, suggesting that coherent structures are not inherently dependent on these elements. Our results provide a basis for proper coherent structure detection in atmospheric turbulence and improve the understanding of similarities and differences between coherent structure characteristics of different meteorological elements, which is helpful for further research into atmospheric turbulence and boundary layers.

发文机构：School of Atmospheric Sciences Guangdong Provincial Key Laboratory for Climate Change and Natural Disaster Studies Southern Marine Science and Engineering Guangdong Laboratory（Zhuhai） Laboratory for Atmospheric Research Guangdong Provincial Field Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary

关键词：coherentstructureatmosphericturbulenceatmosphericboundarylayerwavelettransform

分类号： P404[天文地球—大气科学及气象学]