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)....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.展开更多
On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea...On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea monsoon experiment, vertical features of bi- weekly and synoptic variability are discussed. There are five vertical modes, that is, subsurface temperature variability is in phase with, out of phase with, leads to, lags the surface temperature variability, and at depths within the subsurface layer the upper and lower tem- perature variations are out of phase. The formation of these vertical modes is related to the property of low-level atmospheric forcing and to the background in atmosphere and ocean. Wind stress curl is the main driving factor in forming Modes 1 and 3, and wind stress- es in forming Modes 2 and 4.展开更多
Using Morlet wavelet transform and harmonic analysis the multi-scale variability of subsurface temperature in the South China Sea is studied by analyzing one-year (from April 1998 to April 1999) ATLAS mooring data. By...Using Morlet wavelet transform and harmonic analysis the multi-scale variability of subsurface temperature in the South China Sea is studied by analyzing one-year (from April 1998 to April 1999) ATLAS mooring data. By wavelet transform, annual and semi-annual cycle as well as intrasea-sonal variations are found, with different dominance, in subsurface temperature. For annual harmonic cycle, both the downward net surface heat flux and thermocline vertical movement partially control the subsurface temperature variability. For semi-annual cycle and intraseasonal variability, the subsurface temperature variability is mainly linked to the vertical displacement of thermocline.展开更多
基金This work was supported by RFDP (Grant No. 1999042308) by SCSIO Open Laboratory for Tropical Marine Environmental Dynamics. Institute of Oceanology, Taiwan University provided the three ATLAS mooring buoy observation data.
文摘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.
基金supported by the National Natural Science Foundation of China under contract No.40305009.
文摘On the basis of the analysis of the sea temperature data that are observed from the three automatic temperature line acquisition sysem mooring buoys deployed in the central South China Sea (SCS) during South China Sea monsoon experiment, vertical features of bi- weekly and synoptic variability are discussed. There are five vertical modes, that is, subsurface temperature variability is in phase with, out of phase with, leads to, lags the surface temperature variability, and at depths within the subsurface layer the upper and lower tem- perature variations are out of phase. The formation of these vertical modes is related to the property of low-level atmospheric forcing and to the background in atmosphere and ocean. Wind stress curl is the main driving factor in forming Modes 1 and 3, and wind stress- es in forming Modes 2 and 4.
基金This work was supported by both the Research Fund for the Doctoral Program of Higher Education under contract No. 1999042308 the Ministry of Science Technology of China under contract No. 2001 DIA 50041.
文摘Using Morlet wavelet transform and harmonic analysis the multi-scale variability of subsurface temperature in the South China Sea is studied by analyzing one-year (from April 1998 to April 1999) ATLAS mooring data. By wavelet transform, annual and semi-annual cycle as well as intrasea-sonal variations are found, with different dominance, in subsurface temperature. For annual harmonic cycle, both the downward net surface heat flux and thermocline vertical movement partially control the subsurface temperature variability. For semi-annual cycle and intraseasonal variability, the subsurface temperature variability is mainly linked to the vertical displacement of thermocline.
