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Bias-corrected estimates of glacier thickness in the Columbia River Basin, Canada
Journal of Glaciology ( IF 3.4 ) Pub Date : 2020-09-24 , DOI: 10.1017/jog.2020.75
Ben M. Pelto , Fabien Maussion , Brian Menounos , Valentina Radić , Maurice Zeuner

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.

中文翻译:

加拿大哥伦比亚河流域冰川厚度的偏差校正估计

存在多个全球冰川厚度数据集,但来自加拿大西部的观测数量稀少且存在空间偏差。为了补充这些有限的观察结果,我们在加拿大哥伦比亚山脉的五个冰川上用冰穿透雷达测量了冰的厚度。我们的雷达调查与之前对落基山脉两座冰川的调查相结合,共有 182 公里的横断面,代表了 34 672 个冰层厚度测量点。我们的测量值平均比之前的表面反演模型估计的冰川厚度厚 38%。使用我们在交叉验证方案中的测量,我们使用开放全球冰川模型 (OGGM) 对冰层厚度进行建模,该模型由最近对地表质量平衡和冰川海拔的观测结果驱动。我们通过优化模型中的冰蠕参数来校准 OGGM 冰厚度。优化的 OGGM 为哥伦比亚盆地产生的冰量为 122.5 ± 22.4 km32000 年,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 年内从盆地消失。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负面影响。
更新日期:2020-09-24
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