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Using Morlet wavelet transform we investi-gated the intraseasonal variability of the subsurface tem-perature in the SCS by analyzing ATLAS mooring data ob-tained during the South China Sea Monsoon Experiment (SCSMEX). It is found for the first time that subsurface temperature in the SCS exists intraseasonal variability, par-ticularly in winter. The strongest intraseasonal variability ranges from 50 to 100 m with its maximum amplitude about 1.0-2.0℃. The subsurface temperature intraseasonal vari-ability in the SCS is primarily induced by local wind stress curl via adjusting the vertical displacement of thermocline. It reveals the important characteristic of intraseasonal varia-tions in the SCS upper ocean vertically.
Using Morlet wavelet transform we investi-gated the intraseasonal variability of the subsurface tem-perature in the SCS by analyzing ATLAS mooring data ob- tained during the South China Sea Monsoon Experiment (SCSMEX). It is found for the first time that subsurface temperature in the SCS exists intraseasonal variability, par-ticularly in winter. The strongest intraseasonal variability ranges from 50 to 100 m with its maximum amplitude about 1.0-2.0 ° C. The subsurface temperature intraseasonal vari- ability in the SCS is induced by local wind stress curl via adjusting the vertical displacement of thermocline. It reveals the important characteristic of intraseasonal varia-tions in the SCS upper ocean vertically.