Testing and application of a model for snow redistribution (Snow_Blow) in the Ellsworth Mountains, Antarctica

Testing and application of a model for snow redistribution (Snow_Blow) in the Ellsworth Mountains, Antarctica
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南极洲埃尔斯沃斯山脉雪再分布模型(Snow_Blow)的测试和应用

DOI:
10.1017/jog.2019.70
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发表时间:
2019
影响因子:
3.4
通讯作者:
Mills S
Mills S
中科院分区:
地球科学3区
文献类型:
--
作者:
Mills S

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风驱动的积雪重新分布可以增加冰帽和冰盖上积雪的空间异质性,并可能证明对边缘冰川地区冰川的形成和生存至关重要。我们提出了一个雪堆模型(Snow_Blow),它扩展和改进了Purves,Mackaness和Sugden(1999,Journal of Quaternary Science 14,313-321)的模型。该模型使用数字高程模型(DEM)和风向作为输入,计算地形变化导致的相对积雪量的空间变化。改进包括雪再分配使用通量路由算法,DEM分辨率的独立性和增加了一个斜坡曲率组件。本文在南极洲(现代环境)测试Snow_Blow,并揭示其在古环境设置中的应用潜力,其中输入气象数据不可用,难以估计。具体来说,雪吹适用于在南极洲西部的埃尔斯沃思山脉,消融被认为是主要与风蚀过程。我们发现,Snow_Blow能够很好地复制蓝冰区及其周围记录的积雪和雪蚀的现有分布。最后,各种模型参数进行了测试,包括沉积距离和侵蚀与风速,提供最有可能的输入参数古环境重建。
Wind-driven snow redistribution can increase the spatial heterogeneity of snow accumulation on ice caps and ice sheets, and may prove crucial for the initiation and survival of glaciers in areas of marginal glaciation. We present a snowdrift model (Snow_Blow), which extends and improves the model of Purves, Mackaness and Sugden (1999, Journal of Quaternary Science 14, 313–321). The model calculates spatial variations in relative snow accumulation that result from variations in topography, using a digital elevation model (DEM) and wind direction as inputs. Improvements include snow redistribution using a flux routing algorithm, DEM resolution independence and the addition of a slope curvature component. This paper tests Snow_Blow in Antarctica (a modern environment) and reveals its potential for application in palaeoenvironmental settings, where input meteorological data are unavailable and difficult to estimate. Specifically, Snow_Blow is applied to the Ellsworth Mountains in West Antarctica where ablation is considered to be predominantly related to wind erosion processes. We find that Snow_Blow is able to replicate well the existing distribution of accumulating snow and snow erosion as recorded in and around Blue Ice Areas. Lastly, a variety of model parameters are tested, including depositional distance and erosion vs wind speed, to provide the most likely input parameters for palaeoenvironmental reconstructions.
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