In this paper, a new method for turbulent patch identification is proposed, based on a wavelet denoising procedure and semiquantitative analysis of Thorpe displacement (d_T). The method has been implemented for achieving two main objectives: (1) global applicability in a wide range of density gradients, which is especially important for modelling biological-physical interactions and (2) robustness as the uncertainties derived from noise should not change significantly the final result. The method has been tested using a theoretical profile and finally validated with field data. These results have been compared to other criteria for patch identification yielding a high level of coincidence.
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