Joughin Ian, Smith Ben E, Howat Ian
Polar Science Center, Applied Physics Lab, University of Washington, 1013 NE 40th St., Seattle, WA 98105-6698, USA.
Byrd Polar and Climate Research Center, Ohio State University, 1090 Carmack Road, Columbus, OH 43210, USA.
Cryosphere. 2018;12(7):2211-2227. doi: 10.5194/tc-12-2211-2018. Epub 2018 Jul 11.
We describe several new ice velocity maps produced by the Greenland Ice Mapping Project (GIMP) using Landsat 8 and Copernicus Sentinel 1A/B data. We then focus on several sites where we analyse these data in conjunction with earlier data from this project, which extend back to the year 2000. At Jakobshavn Isbrae and Koge Bugt, we find good agreement when comparing results from different sensors. In a change from recent behaviour, Jakobshavn Isbrae began slowing substantially in 2017, with a mid-summer peak that was even slower than some previous winter minimums. Over the last decade, we identify two major slowdown events at Koge Bugt that coincide with short-term advances of the terminus. We also examined populations of glaciers in northwest and southwest Greenland to produce a record of speedup since 2000. Collectively these glaciers continue to speed up, but there are regional differences in the timing of periods of peak speedup. In addition, we computed trends in winter flow speed for much of the southwest margin of the ice sheet and find little in the way of statistically significant change over the period covered by our data. Finally, although consistency of the data generally is good through time and across sensors, our analysis indicates substantial differences can arise in regions with high strain rates (e.g., shear margins) where sensor resolution can become a factor. For applications such as constraining model inversions, users should factor in the impact that the data's resolution has on their results.
我们描述了格陵兰冰盖测绘项目(GIMP)利用陆地卫星8号和哥白尼哨兵1A/B号数据制作的几张新的冰流速图。然后,我们重点关注了几个地点,在这些地点我们将这些数据与该项目早期的数据(可追溯到2000年)结合起来进行分析。在雅各布港冰川和科厄湾,我们发现不同传感器的结果比较时吻合度很高。与近期情况不同的是,雅各布港冰川在2017年开始大幅减速,其仲夏峰值甚至比之前一些冬季的最低值还要低。在过去十年中,我们在科厄湾发现了两次主要的减速事件,这与冰舌的短期推进相吻合。我们还研究了格陵兰岛西北部和西南部的冰川群体,以生成2000年以来加速情况的记录。总体而言,这些冰川继续加速,但加速峰值出现的时间存在区域差异。此外,我们计算了冰盖西南边缘大部分地区冬季流速的趋势,发现在我们数据覆盖的时间段内,几乎没有统计学上显著的变化。最后,尽管数据在时间上和不同传感器之间的一致性总体良好,但我们的分析表明,在应变率高的区域(如剪切边缘),传感器分辨率可能成为一个因素,会出现很大差异。对于诸如约束模型反演等应用,用户应考虑数据分辨率对其结果的影响。