| Today,with the very fast growth of Marine economy and trade,the quantity of human activities on the sea has increased,for the goals of the trade convenience or people'spersonal safety,underwater needs to be more accurate.Kuroshio extension is a powerful western boundary sea current of high temperature and high salt in the Northwest Pacific Ocean.Temperature is one of the basic ocean elements,which represents the physical and chemical features of the ocean.It is also one of the representations reflecting the characteristics of the ocean hydrology and climate environment.To stud the charateristics of the climate of the Kuroshio extension area and the rule of temporal and spatial variations.And studying the correlation between the KE and the surrounding waters.In this way can we make a future study and knowing of China's environmental climate and lay a foundation for climate research.In order to meet the needs of oceans research and survey,in this paper,a new algorithm for fitting 3-D temperature pattern by uniting Argo profile data and sea surface temperature(SST)data.The major studying work is as follows:The three-dimensional temperature pattern of the kuroshio extension was rebulit by matching the Argo temperature profile data from 2002 to 2019 provided by the global ocean Argo buoy temperature salt data set.The way of fitting threedimensional temperature field with Argo data is introduced in detail.The Argo temperature profile is divided into six layers through five depths,namely mixing layer,entrainment zone,thermocline,transition zone,the first deep layer and the second deep layer.Then,the regression equations of SST and Argo temperature are got through linear regression,and then the initial value of SST was obtained.The first guess value is obtained through various processing of Argo profile data.The SST and the initial value are both taken into the fitting means as the beginning value,and the piecewise fitting is carried out.Finally,the 3D temperature field of the fitted kuroshio extension body is obtained.The fitting temperature profile is compared with the Argo observation profile.A detailed summarizes the basic theory and algorithm of fitting three-dimensional temperature field by SST of Argo and satellite remote sensing data,and compares the fitted temperature profile calculated in this paper with the data sets of BOA-Argo and EN4.2.1,which have considerable consistency.The error between the fitted temperature profile and the Argo observation profile calculated with Argo data is about 0.53,about 0.46 with BOA-Argo data library,and about 0.37 with EN4.2.1 data set.The correlation of association between the fitted temperature profile and Argo observation profile was around 0.9,while the cor between the BOA-Argo dataset and EN4.2.1 dataset was above 0.84.In this paper,the principal arguments of temperature profile obtained by this algorithm are used to analyze the four seasons change features and laws of water orders in kuroshio extension body.Interpretation of the results: the SST of the kuroshio extension body has obvious characteristics of cold in winter and spring,elevated temperature in summer and autumn.The monthly variation trend of mixed layer depth(MLD)is opposite to that of sea surface temperature(SST).The mixed layer depth is the deepest in winter and the shallowest in summer.Regardless of in winter or summer,the extension of kuroshio tide is the boundary between north and south sea area.The temperature of the thermocline drops sharply,and the temperature imparity between the top and bottom is large.The depth at the bottom of the thermocline is about 800 m,and the seasonal thermocline is 100-200 m.There is a strong north-south depth difference in the transition layer. |
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