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Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK

机译:用于雪覆盖模型积雪中的裂纹传播建模临界裂缝长度

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Observed snow stratigraphy and snow stability are of key importance for avalanche forecasting. Such observations are rare and snow cover models can improve the spatial and temporal resolution. To evaluate snow stability, failure initiation and crack propagation have to be considered. Recently, a new stability criterion relating to crack propagation, namely the critical crack length, was implemented into the snow cover model SNOWPACK. The critical crack length can also be measured in the field with a propagation saw test, which allows for an unambiguous comparison. To validate and improve the parameterization for the critical crack length, we used data from 3 years of field experiments performed close to two automatic weather stations above Davos, Switzerland. We monitored seven distinct weak layers and performed in total 157 propagation saw tests on a weekly basis. Comparing modeled to measured critical crack length showed some discrepancies stemming from model assumption. Hence, we replaced two variables of the original parameterization, namely the weak layer shear modulus and thickness, with a fit factor depending on weak layer density and grain size. With these adjustments, the normalized root-mean-square error between modeled and observed critical crack lengths decreased from 1.80 to 0.28. As the improved parameterization accounts for grain size, values of critical crack lengths for snow layers consisting of small grains, which in general are not weak layers, become larger. In turn, critical weak layers appear more prominently in the vertical profile of critical crack length simulated with SNOWPACK. Hence, minimal values in modeled critical crack length better match observed weak layers. The improved parameterization of critical crack length may be useful for both weak layer detection in simulated snow stratigraphy and also providing more realistic snow stability information – and hence may improve avalanche forecasting.
机译:观察到的雪地层和雪稳定性对雪崩预测具有重要意义。这种观察结果是罕见的,雪覆盖模型可以提高空间和时间分辨率。为了评估积雪稳定性,必须考虑失败启动和裂缝扩展。最近,实施了与裂纹传播有关的新的稳定性标准,即临界裂缝长度,是在雪覆盖模型积雪中实施的。临界裂缝长度也可以通过传播锯测试在该领域中测量,这允许明确的比较。为了验证和改进临界裂缝长度的参数化,我们使用3年的现场实验中的数据靠近达沃斯,瑞士达沃斯的两个自动气象站。我们监控了七个不同的弱层,每周总共157个传播锯测试。比较建模以测量的临界裂缝长度显示出一些差异,从模型假设中源。因此,我们取代了原始参数化的两个变量,即弱层剪切模量和厚度,具体取决于弱层密度和晶粒尺寸。通过这些调整,建模和观察到的临界裂纹长度之间的归一化的根均方误差从1.80降至0.28。随着改进的参数化占晶粒尺寸的说明,由小晶粒组成的雪层的临界裂缝长度的值,这通常不是弱层,变大。反过来,临界弱层在用积雪模拟的临界裂缝长度的垂直轮廓中更加突出。因此,模型临界裂缝长度的最小值更好地匹配观察到的弱层。临界裂缝长度的改进参数化对于模拟雪地层中的弱层检测也可用于提供更现实的雪稳定信息 - 因此可以改善雪崩预测。

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