基于卫星测高技术的浙江近海平均海面高模型建立

摘要

Based on the Waveform data from Jason⁃2 and SARAL/AltiKa satellites, a new method of eliminating the gross error of altimetry data was developed. By eliminating the sea surface height that was not in the predetermined trajectory , the gross error in each segment of altimetry data was eliminated according to the sea surface height in each cycle of each Pass file, in order to improve the usability of satellite data in coastal areas. Through crossover adjustment, the time⁃varying signals for the radial orbit error and sea level were further weakened. The discrete sea surface height with high accuracy, which was obtained with the remove⁃restore technique, was gridded using the radial basis function method. A mean sea surface height model with grid resolutions of 2. 5′×2. 5′was established. The root mean square error between the sea surface height data from the established model and the data from tidal stations is ±0. 017 m, and the standard deviation between the established model and MSS⁃CNES⁃CLS11 was ±0. 070 m. The results show that the established mean sea surface height model for Zhejiang coastal areas is reliable.%利用Jason⁃2卫星与SARAL／AltiKa卫星的Waveform数据，研究一种新的测高数据粗差剔除方法，即剔除不在预定轨迹的海面高后，参考拟合各Pass每个Cycle的海面高值，对测高数据分段剔除粗差，以提高近海卫星数据的可用性；经过交叉点平差，进一步削弱径向轨道误差和海平面时变信号；采用“移去⁃恢复”法得到较高精度的离散海面高；采用径向基函数法格网化离散海面高，建立2.5′×2.5′格网分辨率的平均海面高模型；将所得模型与验潮站提供的海面高比较，均方根为±0.017 m，与MSS⁃CNES⁃CLS11比较，标准差为±0.070 m。研究结果表明，采用本文方法建立的浙江近海平均海面高模型精度可靠。