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针对用传统的参数模型进行海况偏差估计存在较大误差的问题,提出一种分段建模的方法来改进对海况偏差的估计。根据全球范围内有效波高和风速的纬度方向分布,确定以20°为分段间隔,将全球划分为6个纬度区间。基于Jason-2高度计数据,根据泰勒展开,以有效波高和风速为变量,在各纬度区间分别构建海况偏差估计参数模型。用解释方差、拟合度和残差评价检验模型,并与传统参数模型的估计结果以及Jason-2高度计GDR中非参数估计结果进行了比对,结果表明:纬度分段参数模型的估计结果较之传统方法在各纬度区间均有提升,在低纬度区域尤为明显。在保证参数模型优势的同时达到了与非参数方法相当的估计精度。说明本文所建纬度分段参数模型能够有效提高全球范围内海况偏差的估计精度以及海表面高度的校正水平。
Aiming at the problem of large error in the estimation of the sea state error using the traditional parametric model, a segmentation modeling method is proposed to improve the estimation of the sea state error. According to the latitudinal distribution of effective wave height and wind speed in the world, it is determined that the interval is 20 °, and the whole world is divided into 6 latitude intervals. Based on the Jason-2 altimetry data, based on the Taylor expansion, the model parameters of the sea state deviation estimation are respectively constructed in different latitudes based on the effective wave height and the wind speed. The test model was evaluated by explaining variance, fitting degree and residual error. Compared with the traditional parametric model and non-parametric estimation of Jason-2 altimetry GDR, the results showed that the estimation results of latitudinal segmentation parametric model The traditional method has been improved at all latitudes, especially at low latitudes. While ensuring the superiority of the parametric model, the estimation accuracy corresponding to the non-parametric method is reached. It shows that the model of latitudinal segmentation established in this paper can effectively improve the estimation accuracy of sea-state deviations and the correction level of sea surface height in the world.