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Snow instability patterns at the scale of a small basin

机译:小盆地规模的积雪失稳模式

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Spatial and temporal variations are inherent characteristics of the alpine snow cover. Spatial heterogeneity is supposed to control the avalanche release probability by either hindering extensive crack propagation or facilitating localized failure initiation. Though a link between spatial snow instability variations and meteorological forcing is anticipated, it has not been quantitatively shown yet. We recorded snow penetration resistance profiles with the snow micropenetrometer at an alpine field site during five field campaigns in Eastern Switzerland. For each of about 150 vertical profiles sampled per day a failure initiation criterion and the critical crack length were calculated. For both criteria we analyzed their spatial structure and predicted snow instability in the basin by external drift kriging. The regression models were based on terrain and snow depth data. Slope aspect was the most prominent driver, but significant covariates varied depending on the situation. Residual autocorrelation ranges were shorter than the ones of the terrain suggesting external influences possibly due to meteorological forcing. To explore the causes of the instability patterns we repeated the geostatistical analysis with snow cover model output as covariate data for one case. The observed variations of snow instability were related to variations in slab layer properties which were caused by preferential deposition of precipitation and differences in energy input at the snow surface during the formation period of the slab layers. Our results suggest that 3-D snow cover modeling allows reproducing some of the snow property variations related to snow instability, but in future work all relevant micrometeorological spatial interactions should be considered.
机译:时空变化是高山积雪的固有特征。认为空间异质性可以通过阻止大范围的裂纹扩展或促进局部失效引发来控制雪崩释放的可能性。尽管预计空间积雪的不稳定性变化与气象强迫之间存在联系,但尚未定量显示。在瑞士东部的五次野战中,我们在高山野外用雪显微渗透仪记录了防雪穿透的剖面。对于每天采样的大约150个垂直剖面中的每一个,都计算了破坏起始标准和临界裂纹长度。对于这两个标准,我们都通过外部漂移克里格分析了它们的空间结构并预测了盆地的积雪不稳定性。回归模型基于地形和积雪深度数据。坡度是最主要的驱动因素,但重要的协变量会根据情况而变化。残留自相关范围比地形的自相关范围短,表明可能是由于气象强迫而产生的外部影响。为了探究不稳定模式的原因,我们对积雪模型输出作为一个案例的协变量数据重复了地统计分析。观测到的积雪不稳定性变化与板层性质的变化有关,这是由于在板层形成期间,降水的优先沉积和积雪表面能量输入的差异引起的。我们的结果表明,3-D积雪模型可以重现与积雪不稳定性相关的某些积雪特性变化,但在未来的工作中,应考虑所有相关的微气象空间相互作用。

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