摘要
本文基于JASON-2雷达高度计共144个周期的8 640万个数据,按照距离加权平均法对其进行共线处理。采用直接估计的方法得到海况偏差(SSB),以此为真值,利用最小二乘法,对有效波高(SWH)和风速(U)的32种参数模型进行拟合并筛选,获得最优海况偏差估计参数模型。将最优参数模型应用于中国HY-2高度计,并与HY-2采用的传统SSB估计参数模型结果比较。结果表明:改进后的SSB估计参数模型有效,优于传统SSB参数模型。
The data of the 144 cycles was processed using the weighted distance method from JASON-2 Radar altimeter.The sea state bias （SSB） were gained by the direct estimation method and considered them to be the true values.Then we get the 32 different parametric models by using the method of least squares regression based on the significant wave height （SWH） and the wind speed （U）.The optimal model is found by operation and filtration.The model is applied to the HY-2 Radar altimeter of China.After contrasted with the previous model in HY-2 it shows that the improved SSB parametric estimation model is efficient and better than the previous SSB parametric estimation model.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第12期119-124,130,共7页
Periodical of Ocean University of China
基金
国家自然科学基金项目(41176157)
国家自然科学基金青年基金项目(41406197)资助
关键词
卫星高度计
海况偏差
参数模型
有效波高
风速
satellite altimeter
sea state bias
parametric model
significant wave height
wind speed
