A New Eddy-Covariance Method Using Empirical Mode Decomposition

作者：Barnhart B L^*; Eichinger W E; Prueger J H

来源：Boundary-Layer Meteorology, 2012, 145(2): 369-382.

DOI：10.1007/s10546-012-9741-6

• Eddy covariance
• Empirical mode decomposition
• Energy budget closure
• Kinematic fluxes

We introduce a new eddy-covariance method that uses a spectral decomposition algorithm called empirical mode decomposition. The technique is able to calculate contributions to near-surface fluxes from different periodic components. Unlike traditional Fourier methods, this method allows for non-orthogonal contributions to the total flux, which are shown to be errors due to the undersampling of low-frequency processes. Inspection of the non-orthogonal terms with relation to sampling duration and periodicity reveals that a measured periodic process requires approximately six cycles in order to be sufficiently sampled. This determines the maximum eddy size sufficiently measured given a particular sampling duration.

• 出版日期2012-11