How well is firn densification represented by a physically based multilayer model? Model evaluation for Devon Ice Cap, Nunavut, Canada
How well is firn densification represented by a physically based multilayer model? Model evaluation for Devon Ice Cap, Nunavut, Canada
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基于物理的多层模型能否很好地体现密度致密化？
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. Lafaysse
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文献类型：
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作者：
G. Gascon;M. Sharp;D. Burgess;Peter Bezeau;A. Bush;S. Morin;M. Lafaysse
评估积雪模型如何准确地捕捉冰雪中的水文过程对于确定它们模拟未来冰川质量平衡变化的效果至关重要。在这里，我们将使用番红花积雪模型进行的模拟与 2004-12 年夏季快速变暖期间在加拿大德文郡冰帽堆积区的四个海拔处钻取的 14 个岩芯中记录的不断变化的雪松地层进行了比较。模拟必须结合表面观测和再分析数据。与观测结果相比，模拟导致近地表密度存在正模型偏差，而深度密度存在负模型偏差。结果表明，为了改善融水流的表征、更好地再现观测到的冰雪密度和温度剖面演变，以及改进气候变暖期间冰川质量平衡的模拟，在冰雪中纳入异质渗滤非常重要。
Evaluation of how accurately snowpack models can capture hydrological processes in firn is critical to determining how well they will simulate future glacier mass-balance changes. Here we compare simulations using the Crocus snowpack model with the evolving firn stratigraphy recorded in 14 cores drilled at four elevations in the accumulation zone of Devon Ice Cap, Canada, during the 2004–12 period of rapid summer warming. Simulations were forced with a combination of surface observations and reanalysis data. Simulations resulted in positive model bias in near-surface density, and negative bias in density at depth compared to observations. Results point to the importance of incorporating heterogeneous percolation in firn in order to improve the representation of meltwater flow, better reproduce observed firn density and temperature profile evolution, and improve simulations of glacier mass balance during periods of climate warming.