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Detecting surface geostrophic currents using wavelet filter from satellite geodesy

机译:使用小波滤波器从卫星大地测量中检测地表地转流

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摘要

According to the features of spatial spectrum of the dynamic ocean topography (DOT), wavelet filter is proposed to reduce short-wavelength and noise signals in DOT. The surface geostrophic currents calculated from the DOT models filtered by wavelet filter in global and Kuroshio regions show more detailed information than those from the DOT models filtered by Gaussian filter. Based on a satellite gravity field model (CG01C) and a gravity field model (EGM96), combining an altimetry-derived mean sea surface height model (KMSS04), two mean DOT models are estimated. The short-wavelength and noise signals of these two DOT models are removed by using wavelet filter, and the DOT models associated global mean surface geostrophic current fields are calculated separately. Comparison of the surface geostrophic currents from CG01C and EGM96 model in global, Kuroshio and equatorial Pacific regions with that from oceanography, and comparison of influences of the two gravity models errors on the precision of the surface geostrophic currents velocity show that the accuracy of CG01C model has been greatly improved over pre-existing models at long wavelengths. At large and middle scale, the surface geostrophic current from satellite gravity and satellite altimetry agrees well with that from oceanography, which indicates that ocean currents detected by satellite measurement have reached relatively high precision.
机译:根据动态海洋地形(DOT)空间谱的特点,提出了小波滤波器来减小DOT中的短波和噪声信号。由小波滤波器在全球和黑潮地区滤波的DOT模型计算得到的表面地转流比从高斯滤波器滤波的DOT模型得到的表面地转流显示更多的信息。基于卫星重力场模型(CG01C)和重力场模型(EGM96),结合高度计得出的平均海面高度模型(KMSS04),估计了两个平均DOT模型。使用小波滤波器去除了这两个DOT模型的短波和噪声信号,并分别计算了与整体平均表面地转电流场相关的DOT模型。比较全球,黑潮和赤道太平洋地区CG01C和EGM96模型的地表地转流与海洋学的比较,并比较两个重力模型误差对表面地转流速度精度的影响,表明CG01C模型的准确性与长波长的现有模型相比,已有很大的改进。在大,中尺度上,来自卫星重力和卫星测高的地表地转流与海洋学相吻合,这表明通过卫星测量发现的洋流已经达到了较高的精度。

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