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AN ASSESSMENT OF CRYOSAT-2 LEVEL2 ELEVATION DATA QUALITY OVER THE ANTARCTIC ICE SHEET

机译:在南极冰盖上对低温-2级高度数据质量的评估

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In this paper, we assess the quality of the CS-2 Level 2 elevation data over the Antarctic ice sheet and its margins. For this purpose, CS-2 elevations are compared with laser altimetry data obtained from the ICESat mission. Our comparison provides results for two of three modes that the satellite operates in: Synthetic Aperture Interferometric (SARIn) mode is used for steeper slopes close to the ice sheet margins, and low resolution mode (LRM) on the flatter interior of the ice sheet. The LRM data exhibits a mean bias on the order of 1-2m and a residual slope-dependent bias on the order of 1-10m. The values are higher than what would be expected for a conventional radar altimeter. The mean bias may be due to the re-tracking approach used, or result from the choice of tracking point on the leading edge. In SARIn mode, we identify a problem with the across track angle error flag, which prevents pre-filtering of the data. This leads to an increase in outliers in the dataset. As in LRM mode, the slopeindependent bias is higher than expected. Also, we observe unusually high differences between CS-2 and ICESat elevations at higher slopes. We propose filtering the SARIn mode data by applying a cut-off for all data with backscatter values lower than 10dB. This greatly reduces differences and, while only discarding 16.3% of the data, provides a reasonable compromise for the use of the data while the Level-2 processing chain is optimised. Further, CS-2-CS-2 crossover differences are analysed and show good repeatability with a modal value of 7cm, and no spatial patterns or correlations. Large differences come only from locations with suspect elevations.
机译:在本文中,我们通过南极冰盖及其边距来评估CS-2级高度数据的质量。为此目的,将CS-2高度与来自ICESAT任务获得的激光高度计量进行比较。我们的比较为卫星操作中的两种模式提供了以下两种模式:合成孔径干涉测量(Sarin)模式用于靠近冰盖边距的陡坡斜率,以及在冰盖的更平坦的内部上的低分辨率模式(LRM)。 LRM数据呈现为1-2米的平均偏置和大约1-10米的残余斜坡依赖性偏差。值高于传统雷达高度计的值。平均偏差可能是由于使用的重新跟踪方法,或者由前沿上的跟踪点的选择产生。在Sarin模式下,我们确定跨轨道角度错误标志的问题,这可以防止预先过滤数据。这导致数据集中的异常值增加。与LRM模式一样,边坡依存偏差高于预期。此外,我们在较高斜坡上观察到CS-2和ICESAT高度之间的异常高差异。我们提出通过对所有数据应用截止来过滤Sarin模式数据,其中反向散射值低于10dB。这大大降低了差异,同时只丢弃16.3%的数据,提供了合理的折衷,用于使用数据而在优化电平-2处理链时进行了优化。此外,分析了CS-2-CS-2交叉差异,并显示出良好的重复性,模态值为7cm,没有空间模式或相关性。大差异仅来自嫌疑人海拔的地点。

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