Long-term temperature measurements are challenging to carry out in mountain-permafrost boreholes. The widely used resistance thermistors are highly accurate but prone to drift when they are exposed to moisture, or the cable connecting them is stretched. We explore the possibility of supplementing them with digital sensors and analyse the performance of both systems at 15 depths in the same mountain-permafrost borehole.

In the last decades, geochemical investigations at the springs of rock glaciers have been used to estimate their drainage processes, and the frozen layer is typically considered to act as an aquiclude or aquitard. In this work, we evaluated the hydraulic behavior of a mountain permafrost site by executing a geophysical monitoring experiment. Several hundred liters of salt water have been injected into the subsurface, and geoelectrical measurements have been performed to define the water flow.

This paper documents a monitoring network of 54 positions, located on different periglacial landforms in the Swiss Alps: rock glaciers, landslides, and steep rock walls. The data serve basic research but also decision-making and mitigation of natural hazards. It is the largest dataset of its kind, comprising over 209 000 daily positions and additional weather data.

The Ice Memory project aims to extract, analyze, and store ice cores from worldwide retreating glaciers. One of the selected sites is the last remaining ice body in the Apennines, the Calderone Glacier. To assess the most suitable drilling position, geophysical surveys were performed. Reliable ground penetrating radar measurements have been positively combined with a geophysical technique rarely applied in glacier environments, the Frequency Domain Electro-Magnetic prospection.

The mechanical response of permafrost degradation on high-mountain rock slope stability has not been calculated in a numerical model yet. We present the first approach for a model with thermal and mechanical input data derived from laboratory and field work, and existing concepts. This is applied to a test site at the Zugspitze, Germany. A numerical sensitivity analysis provides the first critical stability thresholds related to the rock temperature, slope angle and fracture network orientation.

A failure criterion for ice-filled rock joints is a prerequisite to accurately assess the stability of permafrost rock slopes. In 2018 a failure criterion was proposed based on limestone. Now, we tested the transferability to other rocks using mica schist and gneiss which provide the maximum expected deviation of lithological effects on the shear strength. We show that even for controversial rocks the failure criterion stays unaltered, suggesting that it is applicable to mostly all rock types.

The use of non-invasive geophysical imaging of root system processes is of increasing interest to study soil–plant interactions. The experiment focused on the behaviour of grapevine plants during a controlled infiltration experiment. The combination of the mise-à-la-masse (MALM) method, a variation of the classical electrical tomography map (ERT), for which the current is transmitted directly into the stem, holds the promise of being able to image root distribution.

In this paper, we describe a unique 10-year or more data record obtained from in situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland, at 3500 m a.s.l. By documenting and sharing these data in this form, we contribute to facilitating future research based on them, e.g., in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models.

A new permafrost mapping method distinguishes between ice-poor and ice-rich permafrost. The approach was tested for the entire Swiss Alps and highlights the dominating influence of the factors elevation and solar radiation on the distribution of ice-poor permafrost. Our method enabled the indication of mean annual ground temperatures and the cartographic representation of permafrost-free belts, which are bounded above by ice-poor permafrost and below by permafrost-containing excess ice.

Monitoring rock slopes for a long time helps to understand the impact of climate change on the alpine environment. Measurements of seismic signals are often affected by external influences, e.g., unwanted anthropogenic noise. In the presented work, these influences are automatically identified and removed to enable proper geoscientific analysis. The methods presented are based on machine learning and intentionally kept generic so that they can be equally applied in other (more generic) settings.

Most of the observed failures in permafrost-affected alpine rock walls are likely triggered by the mechanical destabilisation of warming bedrock permafrost including ice-filled joints. We present a systematic study of the brittle shear failure of ice and rock–ice contacts along rock joints in a simulated depth ≤ 30 m and at temperatures from −10 to −0.5 °C. Warming and sudden reduction in rock overburden due to the detachment of an upper rock mass lead to a significant drop in shear resistance.

The effects of permafrost degradation on rock slope stability in the Alps affect people and infrastructure. Modelling the evolution of permafrost is therefore of great importance. However, the snow cover has generally not been taken into account in model studies of steep, rugged rock walls. Thus, we present a distributed model study on the influence of the snow cover on rock temperatures. The promising results are discussed against detailed rock temperature measurements and snow depth data.

We present a 8-year continuous time series of measured fracture kinematics and thermal conditions on steep permafrost bedrock at Hörnligrat, Matterhorn. Based on this unique dataset and a conceptual model for strong fractured bedrock, we develop a novel quantitative approach that allows to separate reversible from irreversible fracture kinematics and assign the dominant forcing. A new index of irreversibility provides useful indication for the occurrence and timing of irreversible displacements.

This paper presents a new semi-automated method to calibrate the 1-D soil model COUP. It is the first time (as far as we know) that this approach is developed for mountain permafrost. It is applied at six test sites in the Swiss Alps. In a second step, the calibrated model is used for RCM-based simulations with specific downscaling of RCM data to the borehole scale. We show projections of the permafrost evolution at the six sites until the end of the century and according to the A1B scenario.

Long-term borehole temperature monitoring in mountain permafrost environments is challenging under the hostile conditions reigning there. On the basis of data measured in the SLF borehole network we show situations where ground temperature data should be interpreted with caution. A selection of recently observed problems are discussed, and advantages and possible drawbacks of various solutions including data correction, measurement redundancy or alternate instrumentation are presented.

The paper presents an integrated approach to monitoring root water uptake and link this information to the plant transpiration measured by sap flow and eddy covariance. The monitoring of soil conditions is achieved using 3-D electrical resistivity tomography. This ensemble of data can be used jointly to model the soil-plant interactions and identify the extent and efficiency of the root zone in front of existing irrigation schemes. A case study is presented regarding an orange orchard in Sicily.