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Study On The Sea Surface Wind Vector Influence Of The Surface Brightness Temperature Remote Sensing Data In The Northwestern Pacific Ocean

Posted on:2018-06-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y Z ZhangFull Text:PDF
GTID:2310330536977312Subject:Environmental Science and Engineering
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The temperature brightness of the sea surface is one of the important physical parameters of the marine environment.It plays an important role in the monitoring and forecasting of global climate change,ocean circulation and ocean water mass,and is closely related to the distribution of seawater evaporation and space-time rainfall.Due to the influence of various factors on the temperature brightness of the sea surface,the research on it has been paid more and more attention which study by microwave remote sensing.Sea surface wind vector is the main influencing factors,and it has great significance to study the correlation between sea surface wind and the temperature brightness.In this dissertation,the correlation between the temperature brightness and the wind speed and the wind direction of the sea surface is studied,and the variation characteristics of the horizontal and the vertical temperature brightness with the seasonal wind vector are analyzed in the western Pacific region.In this dissertation,the sea surface temperature brightness data of the SMOS(Soil Moisture and Ocean Salinity)satellite microwave radiometer emitted by the European Space Agency in different polarized states and the sea surface wind field data obtained by the American Windsat space-borne fully polarized microwave radiometer are used.The horizontal and the vertical brightness temperature and the four Stokes parameters are quantitatively calculated.The wind speed is divided by the Po Fu wind extension scale.The variation law of wind speed,wind direction and surface temperature is analyzed by using the data discreteness,mean value and standard deviation.The characteristics of wind field and bright temperature are simulated by Matlab.At the same time,the correlation between seasonal wind vector and brightness temperature gain was analyzed by Hollinger and Wise semi-empirical and semi-theoretical sea surface roughness model.The results showed:(1)By quantitatively analyzing the influence of wind vector on the sea surface brightness temperature,the influence of wind speed is greater than that of wind direction.The sensitivity of wind field is the most conspicuous in the vertical brightness temperature,and the Stokes2 brightness temperature parameter has the lowest sensitivity to the wind speed,meanwhile the Stokes1 brightness temperature parameter has the lowest sensitivity to the wind direction under 20 degrees;(2)The best correlation between sea surface brightness temperature and wind field is under 3 level wind speed(according to the Beaufort wind scale table)and 0-150 degree wind direction;the significant brightness temperature fluctuation mainly happen in over6 level wind speed and 300-360 degree wind directions.The direction of the wind field in January and July is relatively stable,and the vortex phenomenon is larger in the high latitudes in the study area in April and October,and accompanied by the change of the brightness gain;(3)The contribution of wind speed to horizontal brightness temperature gain is significantly greater than that of vertical brightness temperature;The change of horizontal brightness temperature gain is the most significant in July and the least is in January;The maximum and minimum mean values of wind speed to vertical brightness gain are 0.13 k and 0.065 k respectively,indicating that the wind speed had little effect on the vertical brightness gain.(4)The change trend of the vertical brightness temperature is more stable than the horizontal brightness temperature,and the change characteristics of the horizontal light temperature affected by the wind field are obvious,and the whole trend is consistent with the monotonically decreasing trend.The change of vertical brightness is mainly related to ocean circulation and latitude and longitude distribution.
Keywords/Search Tags:SMOS, Windsat, Sea surface temperature brightness, Wind vector, Seasonal, Northwest Pacific
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