Greenland ice velocity maps from the PROMICE project
Greenland ice velocity maps from the PROMICE project
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DOI：
10.5194/essd-13-3491-2021
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发表时间：
2021-02
影响因子：
11.4
通讯作者：
A. Solgaard;A. Kusk;J. M. Boncori;J. Dall;K. Mankoff;A. Ahlstrøm;S. Andersen;M. Citterio;N. Karlsson;K. Kjeldsen;N. Korsgaard;S. Larsen;R. Fausto
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文献类型：
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作者：
A. Solgaard;A. Kusk;J. M. Boncori;J. Dall;K. Mankoff;A. Ahlstrøm;S. Andersen;M. Citterio;N. Karlsson;K. Kjeldsen;N. Korsgaard;S. Larsen;R. Fausto
抽象的。我们提出了格陵兰冰盖监测计划 (PROMICE) 冰速产品 (https://doi.org/10.22008/promice/data/sentinel1icevelocity/greenlandicesheet) (Solgaard 和 Kusk, 2021))，这是 2016 年 9 月至今格陵兰冰盖冰速马赛克的时间序列。该产品基于Sentinel-1合成孔径雷达数据，具有500 m的空间分辨率。每 12 天就会出现一个新的马赛克，并且跨越两个连续的 Sentinel-1 周期（24 天）。该产品在上次购买后约 10 天内上市，包括两个 Sentinel-1A 周期内所有可能的 6 和 12 天对。我们非常详细地描述了我们的操作处理链，从数据选择、镶嵌和错误估计到最终异常值去除。该产品经过现场 GPS 测量验证。我们发现，vx 和 vy 分量的卫星速度和 GPS 速度之差的标准偏差分别为 20 m/yr 和 27 m/yr。这在预期范围内，但是，我们预计 GPS 测量结果会带来很大一部分不确定性。我们从时间和空间的角度研究覆盖范围的变化。由于出色的数据覆盖范围和高一致性，冬季实现了最佳的空间覆盖范围，而夏季马赛克由于广泛的融化而具有最低的覆盖范围。格陵兰冰盖东南部边缘以及其他高堆积和融化的区域通常在冰速度镶嵌中存在间隙。空间全面性和时间一致性使该产品非常适合监测和研究冰盖范围的冰排放和冰川动力学。
Abstract. We present the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) ice velocity product (https://doi.org/10.22008/promice/data/sentinel1icevelocity/greenlandicesheet) (Solgaard and Kusk, 2021)) which is a September 2016 through present time series of Greenland Ice Sheet ice-velocity mosaics. The product is based on Sentinel-1 synthetic aperture radar data and has a 500 m spatial resolution. A new mosaic is available every 12 days and span two consecutive Sentinel-1 cycles (24 days). The product is made available within ~10 days of the last acquisition and includes all possible 6 and 12 day pairs within the two Sentinel-1A cycles. We describe our operational processing chain in high detail from data selection, mosaicking and error estimation to final outlier removal. The product is validated against in-situ GPS measurements. We find that the standard deviation of the difference between satellite and GPS derived velocities is 20 m/yr and 27 m/yr for the vx and vy components, respectively. This is within the expected bounds, however, we expect that the GPS measurements carry a considerable part of this uncertainty. We investigate variations in coverage from both a temporal and spatial perspective. Best spatial coverage is achieved in winter due to excellent data coverage and high coherence, while summer mosaics have the lowest coverage due to widespread melt. The southeast Greenland Ice Sheet margin, along with other areas of high accumulation and melt, often have gaps in the ice velocity mosaics. The spatial comprehensiveness and temporal consistency make the product ideal for monitoring and studying ice-sheet wide ice discharge and dynamics of glaciers.