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
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.
