近海多种卫星测高联合数据处理技术

Multi-altimetric Data Processing Approaches in Shallow Water

海域海况复杂多变 ,潮汐不但受外海能量输入的控制 ,而且在复杂的海岸线、浅海海底和内陆河流运输的作用下变得异常复杂。卫星测高由于受复杂的海洋动力环境和陆地反射的影响 ,数据质量普遍较深海差。将多种卫星测高数据联合处理 ,可以大大提高近海海域平均海面高的精度与分辨率 ,增强测高卫星监测近海复杂动力现象与反演近海复杂动力机制的能力。本文讨论近海多种卫星联合数据处理的技术与方法 ,分别从提取海平面稳态和时变信息的角度较系统地研究了多种卫星测高联合数据处理方法 ,通过提取不同测高卫星海平面观测数据中与时间无关的系统偏差 ,建立多种卫星测高数据的海平面时变基准 ,从而将多种测高卫星海面监测数据融合到一个动力系统中。大大提高测高卫星海平面监测的时空分辨率 ,为联合多种卫星测高数据在大地测量与近海海洋动力学研究中的应用创造基本条件。

The data quality of altimeter in shallow sea area are worse than that in deep sea area, this mainly because the tide in this area is affected by so many unexpected factors, such as complicated coast line, submarine topography and the water transportation from the inland river, and the altimeter measurements themselves are also affected by marine dynamic and land reflection. The precision and resolution of the solution of the average sea surface could be largely improved by combining several kinds of altimeter data,this consequently help us to improve the ability of monitoring sea surface and inversing the water driving dynamic mechanism in shallow sea area.In this paper,some approaches are presented on combination of several kinds of altimeter data.The data processing approaches are systematic investigated in the aspect of extracting average and time change sea surface information.By culling out time independent bias from each kind of altimeter data,sea surface time change datum is constructed.Then multi altimeter data are put into one dynamic system for sea level monitoring