A New Eddy-Covariance Method Using Empirical Mode Decomposition |
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| Authors: | B L Barnhart W E Eichinger J H Prueger |
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| Institution: | 1.IIHR—Hydroscience and Engineering,The University of Iowa,Iowa City,USA;2.National Laboratory for Agriculture and the Environment,United States Department of Agriculture—Agricultural Research Service,Ames,USA |
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| Abstract: | 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. |
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