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Using Muti-sensor Satellite Data To Study The Variability Of Kuroshio

Posted on:2011-10-28Degree:DoctorType:Dissertation
Country:ChinaCandidate:C T ChenFull Text:PDF
GTID:1100330332964615Subject:Detection and processing of marine information
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Kuroshio is a well-known west boundary current of the North Pacific, with high temperature, salinity and transparence, and characterized with the faster velocity, large flux and narrow current width, long flow. The Varibility of Kuroshio has a close relationship with the circulation of the China Sea, the global climate and global change. Multi-sensor satellite data including satellite sea surface temperature (SST), satellite sea surface wind (SSW) and microwave altimeter sea surface height (SSH) are used in this study to study the anomaly of SST and dynamical process of Kuroshio, and the relationship with El Nino; preliminary explore the dynamic process of the generation and the evanesce of the Kuroshio frontal eddy. The model calculations and field measurements are used. Main valuable research conclusions are drawn as follows:1. From 2003 to 2008,the annual mean value of Satellite Sea Surface Temperature (SST) is 24.58℃in Kuroshio area, and its standard deviation is 0.57℃; The mean value for spring, summer, autumn and winter respectively are 21.94℃,27.58℃,26.73℃,21.84℃, and the standard deviation are 0.55℃,0.50℃,0.58℃,0.32℃. From 1993 to 2008, the annual mean value of Kuroshio axis SST is 24.98℃, and its standard deviation is 0.32℃; The mean value for spring, summer, autumn and winter respectively are 22.68℃,28.19℃,26.87℃,22.20℃, and the standard deviation are 0.70℃,0.52℃,0.36℃,0.48℃.2. The annual mean value of the absoute dynamic topography(ADT) of Kuroshio axis respectively are 239±4cm,240±4cm,239±3cm in the east of Taiwan, East China Sea and south of Japan Kuroshio; The ADT value raise along the time, with the separately rate of rise 0.304cm/a,0.284cm/a and 0.169cm/a. The variation periods of ADT are 1,2 and 7-8 years.δh,which is used to stand for the intensity of Kuroshiom, is the evaluated at each longitude by first averaging the ADT values over the 1.0°bins centered by 1.0°north and south of the Kuroshio axis,and then taking the difference as δh.the annual mean value ofδh separately are 31.25cm,33.45cm, and 60.73cm in the east of Taiwan, East China Sea and south of Japan Kuroshio; The max value season is summer,and the min season is winter or autumn; The variation periods ofδh exist monthly and yearly period.,The average latitude of Kuroshio axis separately are 25.70°N±0.12°,28.84°N±0.12°,31.77°N±0.25°in the east of Taiwan, east China sea and south of Japan; East of Taiwan's and the East China Sea Kuroshio axis average latitude upward trend over time, increased rate of 0.0072°-0.0051°/a, downward trend in southern Japan, a reduction of 0.0084°/a; The variation periods in the Kuroshio axis latitude is 1 year and 2 year.3. Using the sliding correlation analysis to get the relevance of the Kuroshio Current and El Nino. The correlation coefficient for SST of Kuroshio axis and the El Nino is 0.6, in the lag of about 7-9 months; The correlation coefficient for Kuroshio intensityδh and the El Nino is 0.72, in the lag of about 4 months.4. The study of mesoscale frontal eddy includes:the multi-sensor data such as SST, SSH, SSW and the model output are used to research a whole course of the Kuroshio frontal eddy. Research has shown that wind is the key role in the whole course.
Keywords/Search Tags:Satellite Remote Sensing Data, Kuroshio, Absolute Dynamic Topography, Mesoscale Frontal Eddy, Sea Surface Temperature
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