Through a physical model, we explored how lacier geometry and topography configuration constrains glacier thinning in the Patagonian Icefields, the world's main glacial freshwater reservoir after Antarctica and Greenland. Our results indicate that about 53 % of the Patagonian Icefield ice flow is susceptible to thinning. Our findings allow for identifying priority glaciers for future research considering climate change projections.

In this study we developed methods for automatically identifying supraglacial lakes in multiple satellite imagery sources for eight glaciers in Nepal. We identified a substantial seasonal variability in lake area, which was as large as the variability seen across entire decades. These complex patterns are not captured in existing regional-scale datasets. Our findings show that this seasonal variability must be accounted for in order to interpret long-term changes in debris-covered glaciers.

The Greenland Climate Network (GC-Net) comprises stations that have been monitoring the weather on the Greenland Ice Sheet for over 30 years. These stations are being replaced by newer ones maintained by the Geological Survey of Denmark and Greenland (GEUS). The historical data were reprocessed to improve their quality, and key information about the weather stations has been compiled. This augmented dataset is available at https://doi.org/10.22008/FK2/VVXGUT (Steffen et al., 2022).

The China–Pakistan Economic Corridor plays a vital role in foreign trade and faces threats from water shortage and water-related hazards. An up-to-date glacial lake dataset with critical parameters is basic for water resource and flood risk research, which is absent from the corridor. This study created a glacial lake dataset in 2020 from Landsat and Sentinel images from 1990–2000, using a threshold-based mapping method. Our dataset has the potential to be widely applied.

On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.

Glacial lakes impact societies as both resources and hazards. Lakes form, grow, and drain as glaciers thin and retreat, and understanding lake evolution is a critical first step in assessing their hazard potential. We map glacial lakes in Alaska between 1984 and 2019. Overall, lakes grew in number and area, though lakes with different damming material (ice, moraine, bedrock) behaved differently. Namely, ice-dammed lakes decreased in number and area, a trend lost if dam type is not considered.

Links between debris flow and volcanic evolution are an open question in the southern Andes. We modelled the catastrophic debris flow using field data, a geotechnical approach and numerical modelling of the Petrohué event (Chile, 2017). Our results indicated new debris-flow-prone zones. Finally, we propose considering connections between volcanoes and debris flow in the southern Andes.

This work presents a study of the biggest mudflow event in 20 years in Chilean Patagonia, which resulted from an avalanche in the Cordon Yelcho. We integrate in situ geotechnical tests and numerical modeling to model the Villa Santa Lucía mudflow event. Our results suggest that the initial soil water content is sufficient to transform the landslide and scoured soil into a mudflow. Therefore, knowing the soil characteristics is crucial to evaluating the impact of landslides in the study area.

In this work, we propose a novel methodology (ReTSVI) to integrate a social vulnerability index into flood hazard methodologies. ReTSVI combines a series of modules that are pieces of information that interact during an evacuation, such as evacuation rate curves, mobilization, inundation models, and social vulnerability indexes, to create an integrated map of the evacuation rate in a given location.

Measuring the amount and spatial pattern of snow on glaciers is essential for monitoring glacier mass balance and quantifying the water budget of glacierized basins. Using repeat radar surveys for 5 consecutive years, we found that the spatial pattern in snow distribution is stable over the majority of the glacier and scales with the glacier-wide average. Our findings support the use of sparse stake networks for effectively measuring interannual variability in winter balance on glaciers.

Five 90 m boreholes drilled into an Antarctic Peninsula ice shelf show units of ice that are denser than expected and must have formed from refrozen surface melt which has been buried and transported downstream. We used surface flow speeds and snow accumulation rates to work out where and when these units formed. Results show that, as well as recent surface melt, a period of strong melt occurred during the 18th century. Surface melt is thought to be a factor in causing recent ice-shelf break-up.

How much snow falls on the Larsen C ice shelf? This is a relevant question, because this ice shelf might collapse sometime this century. To know if and when this could happen, we found out how much snow falls on its surface. This was difficult, because there are only very few measurements. Here, we used data from automatic weather stations, sled-pulled radars, and a climate model to find that melting the annual snowfall produces about 20 cm of water in the NE and over 70 cm in the SW.

On 12 June 2016, the authors witnessed a glacier outburst flood with origins from Lhotse Glacier, located in the Everest region of Nepal. Observations regarding the size of the flood and a reconstruction of its path immediately following the event were performed. Most of the flood water was stored in the glacier's subsurface and likely released by dam failure. A similar flood from Lhotse Glacier was also reported by local community members on 25 May 2015.

Glacial lake outburst floods pose a significant threat to downstream communities and infrastructure as they rapidly unleash stored lake water. Nepal is home to many potentially dangerous glacial lakes, yet a holistic understanding of the hazards faced by these lakes is lacking. This study develops a framework using remotely sensed data to investigate the hazards and risks associated with each glacial lake and discusses how this assessment may help inform future management actions.