| The moving vessel profiler (MVP) is a kind of equipment for marine investigation with highintegration and automation. Various parameters can be observed simultaneously by MVP toobtain data with high spatial resolution. However, serious salinity spiking exists since theresponse times of sensors do not match between temperature and conductivity and the speed oflowering MVP is too fast (peaking speed4m/s). In this study, we propose a novel method, Matchconductivity and temperature response times, to weaken the salinity spiking via matching theresponse times of pressure, temperature, and conductivity sensors on the basis of F, GM, andGrose methods. The results show that the error of data corrected by the novel method reduces80%when it compares with that of SBE-9CTD data and its cross-correlation with CTD data is0.917. In addition, the area of low salinity in halocline of35°N section disappears aftercorrection.In the present study, we also use the35°N section data to calculate the gradients of temperature,salinity, density and sound velocity. The frontal intensity and the scope of the Yellow Sea ColdWater Mass (YSCWM) can be easily observed from the change processes of these gradientvalves. Besides, the change processes of layer intensity, depth and thickness of35°N section arealso given in this study and the parameters are compared with CTD data. The horizontalgradients of temperature and salinity obtained from MVP data reached0.28℃/km and0.11S/km, respectively, which were both higher than those in CTD data (0.097℃/km and0.019S/km). Results showed that MVP data had advantage over CTD data on the study of the structureand transformation of frontal surface in YSCWM. The data with high resolution in spatial scalewhich obtained by the moving investigation method are important for the research of frontalsurface and regional oceanography. The present study is aimed at promoting the application ofMVP in the offshore oceanography of China. |
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