基于JASON-1高度计的海况偏差校正参数模型

基于JASON-1高度计研究海况偏差校正参数模型。采用交叉点处测量值差分的方法消除高度计中除海况偏差之外的噪声信号。基于泰勒展开构造以有效波高、风速为变量的32种海况偏差参数模型,利用线性回归的方法得到各模型的参数估计值,并对其进行评价、筛选得到最优模型。通过将该模型的海况偏差校正值与JASON-1的地球物理数据集(GDR)数据相对比,进一步验证该参数模型的有效性。结果表明:该参数模型有效,可以用于JASON-1高度计的海况偏差校正。

A parametric model of estimating sea state bias based on JASON-1 altimetry

Based on the data of JASON-1 altimetry, the parametric model of estimating the sea state bias(SSB) was studied. Non-SSB signals within the altimeter data were eliminated by means of forming differences between measurements taken at crossover points. According to Taylor expansion, 32 parametric models of SSB were developed as the function of both the significant wave height and wave speed. The estimation values of each parametric model were derived from the linear regression, and then the optimal model was obtained via the process of evaluation and selection. Finally, the effectiveness of the parametric model was validated through comparing the SSB estimation of the model with the geophysical data records (GDR) of JASON-1. The results show that the parametric model is effective, and can be used for JASON-1 SSB correction.