Mahdi Mohammadi-Aragh, Ole Zeising, Markus Reinert, Knut Klingbeil, Angelika Humbert, Rebecca McPherson, Mathieu Morlighem, Ralph Timmermann, Claudia Wekerle, Hans Burchard
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引用次数: 0
Abstract
The floating ice tongue of the 79N Glacier in Northeast Greenland has been thinning over the past two decades, with warning signs of a potential onset of disintegration. While previous studies primarily attribute the thinning of the ice shelf to oceanic heat flux, limited attention has been given to the significant role of ice shelf plume dynamics as a mechanism for distributing the heat beneath the ice shelf. Here, we develop a horizontal two-dimensional plume model to assess the effects of key factors influencing plume dynamics and, consequently, the estimation of a high-resolution basal melt rate. We examine the effect of ice basal topography roughness and the presence of basal channels, that is extreme roughness of the base in the hinge zone, as well as the impact and pathways of subglacial discharge on melt rates. Our model results show good agreement with observation-based melt rate estimates and indicate that basal channels in the hinge zone are the dominant control on the ice shelf's basal melt rates. In combination with subglacial discharge, the melt rate is increased to at the grounding line, intensifying the channelized melt rate pattern created by basal channels and increasing spatial variability. Additionally, our results indicate that incorporating wet-dry algorithms and calculating a variable drag coefficient are crucial for accurately estimating melt rates during low subglacial discharge season, as well as for determining friction and turbulent exchange coefficients.
在过去的二十年里,格陵兰东北部79N冰川的浮冰舌一直在变薄,有可能开始解体的警告信号。虽然以前的研究主要将冰架变薄归因于海洋热通量,但很少注意到冰架羽流动力学作为冰架下热量分布机制的重要作用。在这里,我们开发了一个水平二维羽流模型来评估影响羽流动力学的关键因素的影响,从而估计高分辨率的基础融化速率。我们研究了冰基底地形粗糙度和基底通道存在的影响,即铰链区基底的极端粗糙度,以及冰下流量对融化速率的影响和途径。我们的模型结果与基于观测的融化速率估计结果很好地吻合,并表明铰链区的基底通道是冰架基底融化速率的主要控制因素。结合冰下流量,熔化速率提高到150m y r−1$150\,\mathrm{m}\,\mathrm{y}{\mathrm{r}}^{-\mathrm{1}}$在接地线上,加剧了基底通道形成的通道化融化速率模式,增加了空间变异性。此外,我们的研究结果表明,结合干湿算法和计算可变阻力系数对于准确估计冰下低流量季节的融化速率以及确定摩擦和湍流交换系数至关重要。
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