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Validation and applications of satellite radar altimetry.

机译:卫星雷达测高的验证和应用。

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The objective of this research is to link satellite radar altimeter measurements from the GEOS-3, SEASAT, GEOSAT, ERS-1/2 and TOPEX/POSEIDON (T/P) satellites, using the T/P dynamical and geophysical modeling, T/P altimeter measurement corrections, and T/P altimeter measurements as a reference. The link was accomplished in three steps. First, all altimeter measurements were corrected with T/P measurement and geophysical corrections, and all satellite orbits were computed using the T/P dynamical modeling. Second, dual crossover residuals were computed with the along track T/P mean sea surface based on the geographically organized altimeter measurement database (stackfiles). Each stackfile is organized based on the repeating groundtrack of one satellite altimeter satellite. Finally, a relative bias and harmonic coefficients for the once per revolution radial orbit error were estimated from the corrected along track dual crossover residuals, using an optimal sequential Kalman filter. Application of the filter results to the orignal altimeter measurements completed the link process.; The consistency of the T/P dry and wet tropospheric corrections, based on the European Centre for Medium-range Weather Forecasts (ECMWF), were investigated in detail and their accuracy was found to be a function of time and geographical location. The stability of the T/P altimeter bias over Galveston Bay was investigated, and was found to have a mean of 1 {dollar}pm{dollar} 65 mm with a drift of 8 {dollar}pm{dollar} 4 mm/year. This drift, however, was found to be caused by large drifts in the tide gauges used. The altimeter bias drift was also determined over the Great Lakes and was found to be in closest agreement with the postglacial rebound corrected tide gauge observations (0.2 {dollar}pm{dollar} 1.7 mm/year). The computed relative altimeter biases from the Kalman filter estimates for GEOS-3 ({dollar}-{dollar}55.0 {dollar}pm{dollar} 19 cm), SEASAT (34.2 {dollar}pm{dollar} 2.8 cm), and GEOSAT (12.1 {dollar}pm{dollar} 1.5 cm) were applied to altimeter measurements over the Caspian Sea and the derived water level variation was found to be in close agreement with tide gauge observations. The relative bias for GEOSAT was also verified over the Great Lakes and estimated to be 12.9 {dollar}pm{dollar} 1.6 cm.
机译:这项研究的目的是使用T / P动态和地球物理模型,将来自GEOS-3,SEASAT,GEOSAT,ERS-1 / 2和TOPEX / POSEIDON(T / P)卫星的卫星雷达高度计测量结果链接起来高度计测量校正,以及T / P高度计测量作为参考。链接通过三个步骤完成。首先,所有的高度计测量值都通过T / P测量和地球物理校正进行了校正,并且所有的卫星轨道都使用T / P动力学模型进行了计算。其次,基于地理组织的高度计测量数据库(堆栈文件),使用沿航迹T / P平均海面计算了双重交叉残差。每个堆栈文件都是根据一颗卫星高度计卫星的重复地面轨迹进行组织的。最后,使用最佳顺序卡尔曼滤波器根据沿轨道双重交叉残差的校正值,估算出每转一次的径向轨道误差的相对偏差和谐波系数。滤波器结果应用于原始高度计的测量完成了链接过程。根据欧洲中型天气预报中心(ECMWF),对T / P对流层干湿对流校正的一致性进行了详细研究,发现其准确性是时间和地理位置的函数。考察了加尔维斯顿湾上T / P高度计偏差的稳定性,发现其平均值为1 {pm} pm {dollar} 65 mm,漂移为8 {pmal} pm {dollar} 4 mm /年。然而,发现这种漂移是由于所使用的潮汐计的大漂移引起的。还确定了五大湖的海拔高度偏差漂移,并且发现该高度偏差与冰期后回弹校正的潮汐仪观测值(0.2 {pm} pm {dollar} 1.7 mm /年)最接近。从卡尔曼滤波器估算值计算得出的相对高度偏倚,分别针对GEOS-3({dollar}-{dollar} 55.0 {dollar} pm {dollar} 19 cm),SEASAT(34.2 {dollar} pm {dollar} 2.8 cm)和GEOSAT (12.1 {pm} {{}} 1.5 cm)被用于里海的高度计测量,得出的水位变化与潮汐仪观测值非常一致。在大湖区也证实了GEOSAT的相对偏差,估计为12.9 {pm} pm {dollar} 1.6厘米。

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