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Comparison of ice-sheet satellite altimeter retracking algorithms

机译:冰盖卫星高度计跟踪算法的比较

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The NASA and ESA retracking algorithms are compared with an algorithm based upon a combined surface and volume (S/V) scattering model. First, the S/V, NASA, and ESA algorithms were used to retrack over 1.3 million altimeter return waveforms from the Greenland and Antarctic ice sheets. The surface elevations from the S/V algorithm were compared with the elevations produced by the NASA and ESA algorithms to determine the relative accuracy of these algorithms when subsurface volume scattering occurs. The results show that the ESA/sub 25%/ algorithm produced slightly higher surface elevations than the S/V algorithm. The NASA retracking algorithm produced lower surface elevations than the SN retracking algorithm, with average differences ranging from -0.3 to -0.9 m. The lower NASA elevations can only account for a portion of previously reported differences between altimeter and geoceiver surface elevations, suggesting that the remainder is probably due to orbital differences. Next, by analyzing several thousand satellite crossover points from the Greenland and Antarctic ice sheets, the author estimated the repeatability of the surface elevations derived from the different retracking algorithms. The elevations derived from the ESA/sub 25%/ and S/V algorithm had the smallest standard deviations for the crossover differences for a time period where no significant change in surface elevation should occur. The NASA standard deviations were approximately 0.2 m larger than those from the ESA/sub 25%/ and S/V algorithm, which represents an average increase in error of approximately 0.5 m in the datasets. Since previous ice-sheet growth estimates have been based upon the elevations produced by the NASA retracking algorithm, further work needs to be conducted to determine if the ESA/sub 25%/ or S/V retracking algorithms produce growth estimates that are significantly different from the previous estimates.
机译:将NASA和ESA重新跟踪算法与基于组合的表面和体积(S / V)散射模型的算法进行了比较。首先,S / V,NASA和ESA算法用于从格陵兰和南极冰原上追踪超过130万个高度计的返回波形。将S / V算法的表面高程与NASA和ESA算法产生的高程进行比较,以确定当发生地下体积散射时这些算法的相对精度。结果表明,ESA / sub 25%/算法产生的表面海拔比S / V算法略高。与SN追踪算法相比,NASA追踪算法产生的地表海拔更低,平均差异范围为-0.3到-0.9 m。较低的NASA高程只能解释先前报告的高度计和地接收器表面高程之间的差异的一部分,这表明其余部分可能是由于轨道差异造成的。接下来,通过分析格陵兰和南极冰原的数千个卫星交叉点,作者估计了从不同的跟踪算法得出的地表高程的可重复性。从ESA / sub 25%/和S / V算法得出的标高在应该不引起表面标高发生明显变化的时间段内具有最小的标准差。 NASA标准偏差比ESA / sub 25%/和S / V算法的标准偏差大约0.2 m,这表示数据集中误差平均增加了约0.5 m。由于先前的冰盖生长估算是基于NASA重新跟踪算法产生的海拔高度,因此需要进一步工作以确定ESA /低于25%/或S / V重新跟踪算法产生的增​​长估算与以前的估计。

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