该文首先介绍了N.E Huang最近提出的Hilbert-Huang变换方法。该方法包括经验模态分解和Hilbert谱分析两个部分.然后使用该方法分析了某一观测站测量得到的大气三维风速。结果表明,经验模态分解得到的主要含能模态物理意义清晰,相应的瞬时频率存在着明显的波内频率调制,这说明大尺度的相干结构控制着大气运动,同时这些相干结构在空间演化过程中存在着变形、耗散以及破碎等非线性作用。同时还发现Hilbert边际谱在更低的频率附近结束惯性子区并进入耗散区。
This paper introduces the newly proposed Hilbert-Huang transform, which contains empirical mode decomposition and Hilbert spectrum analysis. The method is used to analyze atmospheric turbulence data, whieh was measured in a meteorological station synoptically. Wind velocity measurements were successfully decomposed into a few empirical modes and for energy containing modes or coherent structures, their corresponding instantaneous frequency showed significant Intrawave Frequency Modulation. This indicates that non-linear interactions such as vortex deformation, dispersion or fragmentation may play a role in both vortex spatial and temporal evolution. The end of the inertial subrange and the beginning of the dispersion range predicted by the Hilbert marginal spectrum was found at a lower frequency than that predicted by the Fourier spectrum.