C. Gerli, S. Rosier, G. H. Gudmundsson, Sainan Sun
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引用次数: 1
摘要
摘要过去十年来,大量研究致力于通过遥感和机器学习技术探测冰川和冰原的裂缝。人们通常认为,遥感破坏图可以作为冰架状况从完好状态向破坏状态转变的早期预警信号,并可作为冰原建模人员改进未来海平面上升预测的重要工具。在这里,我们提供了 Filchner-Ronne 冰架和松岛冰架的证据,证明遥感损伤图与冰流模型得出的冰速率因子场 A 在反演表面速度时只有微弱的关系。这种技术是冰流模型的常用程序,因为它能保证 A 的任何推断变化都与观测所测得的冰流变化有关。在研究松岛冰架上观测到的严重破坏的剪切边缘时,发现的微弱关系有所改善;然而,即使在这种情况下,这种关联仍然不大。我们的研究结果表明,许多通过遥感方法确定的破坏特征与当今冰架流动并无直接关系。虽然损伤在冰架流动过程中显然起着重要作用,因此与冰原行为和海平面上升预测有关,但我们的研究结果表明,直接通过卫星观测绘制冰损伤图可能无助于改善冰流模型对这些过程的描述。
Weak relationship between remotely detected crevasses and inferred ice rheological parameters on Antarctic ice shelves
Abstract. Over the past decade, a wealth of research has been devoted to the detection of crevasses in glaciers and ice sheets via remote sensing and machine learning techniques. It is often argued that remotely sensed damage maps can function as early warning signals for shifts in ice shelf conditions from intact to damaged states and can serve as an important tool for ice sheet modellers to improve future sea level rise predictions. Here, we provide evidence for the Filchner–Ronne and Pine Island ice shelves that remotely sensed damage maps are only weakly related to the ice rate factor field A derived by an ice flow model when inverting for surface velocities. This technique is a common procedure in ice flow models, as it guarantees that any inferred changes in A relate to changes in ice flow measured through observations. The weak relationship found is improved when investigating heavily damaged shear margins, as observed on the Pine Island Ice Shelf; however, even in this setting, this association remains modest. Our findings suggest that many features identified as damage through remote sensing methods are not of direct relevance to present-day ice shelf flow. While damage can clearly play an important role in ice shelf processes and thus be relevant for ice sheet behaviour and sea level rise projections, our results imply that mapping ice damage directly from satellite observations may not directly help improve the representation of these processes in ice flow models.