Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada

Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada
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加拿大哥伦比亚河流域冰川厚度的偏差校正估计

DOI:
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发表时间:
2020
影响因子:
3.4
通讯作者:
Maurice Zeuner
Maurice Zeuner
中科院分区:
地球科学3区
文献类型:
--
作者:
B. Pelto;F. Maussion;B. Menounos;V. Radic;Maurice Zeuner

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存在几个全球冰川厚度数据集,但加拿大西部的观测数量稀少,空间上有偏差。为了补充这些有限的观察,我们测量了冰厚度与冰穿透雷达在加拿大哥伦比亚山脉的五个冰川。我们的雷达调查,结合以前的调查,在落基山脉的两个冰川,总182公里的断面,代表34 672点测量冰厚度。我们的测量结果平均比以前的表面反演模型估计的冰川厚度厚38%。使用我们的测量在交叉验证方案,我们模型的冰厚度与开放全球冰川模型(OGGM)驱动最近的观测表面质量平衡和冰川海拔。通过优化模型中的冰蠕变参数,对OGGM冰厚进行了标定。优化OGGM得到2000年哥伦比亚盆地的冰量为122.5 ± 22.4 km 3,比以前估计的范围大23%。按照目前该地区冰川质量损失的速度,冰川将在大约65-80年内从该流域消失。这些冰川的消失将对流域的地表水文、淡水供应和水生生态系统产生不利影响。
Abstract Several global datasets of glacier thickness exist, but the number of observations from western Canada are sparse and spatially biased. To supplement these limited observations, we measured ice thickness with ice penetrating radar on five glaciers in the Columbia Mountains, Canada. Our radar surveys, when combined with previous surveys for two glaciers in the Rocky Mountains, total 182 km of transects that represent 34 672 point measurements of ice thickness. Our measurements are, on average, 38% thicker than previous surface inversion model estimates of glacier thickness. Using our measurements within a cross-validation scheme, we model ice thickness with the Open Global Glacier Model (OGGM) driven with recent observations of surface mass balance and glacier elevation. We calibrated OGGM ice thickness by optimizing the ice creep parameter in the model. The optimized OGGM yields an ice volume for Columbia Basin of 122.5 ± 22.4 km3 for the year 2000, which is 23% greater than the range of previous estimates. At current rates of glacier mass loss for this region, glaciers would disappear from the basin in about 65–80 years. Disappearance of these glaciers will negatively affect the basin's surface hydrology, freshwater availability and aquatic ecosystems.
DOI: 10.1038/s41561-019-0300-3
发表时间: 2019-03-01
期刊: NATURE GEOSCIENCE
影响因子: 18.3
作者:
Farinotti, Daniel;Huss, Matthias;Pandit, Ankur
通讯作者: Pandit, Ankur