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A robust threshold retracking algorithm for measuring ice-sheet surface elevation change from satellite radar altimeters

机译:一种用于从卫星雷达高度计测量冰盖表面高程变化的鲁棒阈值重新跟踪算法

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A threshold retracking algorithm for processing ice-sheet altimeter data is presented. The primary purpose for developing this algorithm is detection of ice-sheet elevation change, where it is critical that a retracking algorithm produce repeatable elevations. The more consistent an algorithm is in selecting the retracking point the less likely that errors and/or biases will be introduced by the retracking scheme in the elevation-change measurement. The author performed extensive comparisons between the threshold algorithm and two widely used ice-sheet retracking algorithms on Geosat datasets comprised of over 60000 crossover points. The results show that the threshold retracking algorithm, with a 10% threshold level, produces ice-sheet surface elevations that are more repeatable than the elevations derived from the other retracking algorithms. For this reason, the threshold retracking algorithm has been adopted by NASA/GSFC as an alternative to their existing algorithm for production of ice sheet altimeter datasets under the NASA Pathfinder Program. The threshold algorithm will be used to re-process existing ice-sheet altimeter datasets and to process the datasets from future altimeter missions.
机译:提出了一种处理冰盖高度计数据的阈值跟踪算法。开发此算法的主要目的是检测冰盖高程变化,在这种情况下,重新跟踪算法产生可重复的高程至关重要。算法在选择重新跟踪点时越一致,则在海拔变化测量中通过重新跟踪方案引入误差和/或偏差的可能性就越小。作者对包括6万多个交叉点的Geosat数据集,对阈值算法和两种广泛使用的冰盖追踪算法进行了广泛的比较。结果表明,阈值重跟踪算法的阈值水平为10%,产生的冰盖表面高程比其他重跟踪算法得出的高程更具可重复性。因此,在NASA探路者计划下,NASA / GSFC已采用阈值重新跟踪算法作为其现有算法的替代品,以生产冰盖高度计数据集。阈值算法将用于重新处理现有的冰盖高度计数据集,并处理来自未来高度计任务的数据集。

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