The role of near-surface snow processes for the formation of climate signals through densification into deep polar firn is still barely understood. To this end we have analyzed a shallow snow pit (0-3 meters) from EastGRIP (Greenland) and derived high-resolution profiles of different types of mechanically relevant fabric tensors. The structural fabric, which characterizes the anisotropic geometry of ice matrix and pore space, was obtained by X-ray tomography. The crystallographic fabric, which characterizes the anisotropic distribution of the c-axis (or optical axis) orientations of snow crystals, was obtained from automatic analysis of thin sections. The structural fabric profile unambiguously reveals the seasonal cycles at EastGRIP, as a consequence of temperature gradient metamorphism, and in contrast to featureless signals of parameters like density or specific surface area. The crystallographic fabric profile unambiguously reveals a signal of cluster-type texture already at shallow depth. We make use of order of magnitude estimates for the formation time of both fabric signals and discuss potential coupling effects in the context of snow and firn densification.

几乎不了解近地表降雪过程通过致密化为深极地层而形成气候信号的作用。为此，我们分析了来自EastGRIP（格陵兰）的浅雪坑（0-3米），并得出了不同类型的机械相关织物张量的高分辨率轮廓。通过X射线层析成像获得了表征冰基质和孔隙空间的各向异性几何结构的结构织物。结晶织物，表征了各向异性分布C晶体的自动分析获得了雪晶的X轴（或光轴）方向。结构织物的轮廓清楚地揭示了EastGRIP的季节周期，这是温度梯度变质作用的结果，与诸如密度或比表面积之类的无特征信号形成鲜明对比。晶体学织物轮廓清楚地显示出已经在浅深度处的簇状纹理的信号。我们利用两个织物信号的形成时间的数量级估计，并讨论了积雪和杉木致密化背景下的潜在耦合效应。