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Wind vector retrieval using dual polarization imagery of ASAR

Progress in Natural Science:Materials International 2006年第11期16卷 1183-1187页

作者： song guiting~ 1.2 ,{1., Chinese Academy of Sciences, qingdao 266071. china 2. Graduate School, Chinese Academy of Sciences, Beijing 1.0039, china) [a]institute of {1. Chinese Academy of Science Qingdao China [b]Graduate School Chinese Academy of Sciences Beijing China

A new algorithm for retrieving wind vector using dual polarization imagery of advanced synthetic aperture radar (ASAR) is developed and tested. Based on the combination of co-polarization and cross-polarization, this new algorithm effectively eliminates the 1.0° ambiguity which occurs when using single imagery of the ASAR to retrieve wind vector. This algorithm also solves the problem that the retrieval results will break down on very small spatial scales. The results retrieved from dual polarization imagery of ASAR show that the wind speed and direction are in agreement with the data from Quikscat and buoy measurements. The root mean square errors of wind direction and speed between the retrieved results and data from Quikscat are 2.21. and 0.53 m/s, respectively. Comparisons between the new method and the traditional method show that the new methods fit the buoy data and Quikscat data a little better than the traditional method in this image.

关键词： wind vector retrieval ASAR dual polarization.

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Statistical distribution of nonlinear random wave height in shallow water

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Science china Earth Sciences 2010年第12期53卷 267-273页

作者： hou {1.1,DUAN YongLiang1.2,CHEN GengXin1.2,qi {{1.song guiting1 & SI GuangCheng1.2 1 institute of oceanology,Chinese Academy of Sciences,qingdao 266071.china 2 Graduate University of Chinese Academy of Sciences,Beijing 100049,china 1. institute of {1. Chinese Academy of Sciences Qingdao 266071 China2. Graduate University of Chinese Academy of Sciences Beijing 100049 China

Here we present a statistical model of random wave,using Stokes wave theory of water wave dynamics,as well as a new nonlinear probability distribution function of wave height in shallow *** is more physically logical to use the wave steepness of shallow water and the factor of shallow water as the parameters in the wave height *** results indicate that the two parameters not only could be parameters of the distribution function of wave height but also could reflect the degree of wave height distribution deviation from the Rayleigh *** new wave height distribution overcomes the problem of Rayleigh distribution that the prediction of big wave is overestimated and the general wave is *** prediction of small probability wave height value of new distribution is also smaller than that of Rayleigh *** effect of wave steepness in shallow water is similar to that in deep water;but the factor of shallow water lowers the wave height distribution of the general wave with the reduced factor of wave *** also makes the wave height distribution of shallow water more *** results indicate that the new distribution fits the in situ measurements much better than other distributions.

关键词： wave height distribution nonlinearity the wave steepness of shallow water the factor of shallow water

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