This interesting study investigates the vulnerability of the Greenland ice sheet to climate warming. Specifically, the article addresses what it takes to make the Greenland ice sheet disappear—an event that would cause several metres of sea-level rise. The authors show that a tipping-point behaviour can be identified in their model, demonstrating that once a threshold has been crossed, Greenland becomes almost completely ice-free.

This study brings together an impressive amount of data to come up with an updated estimate of global glacier loss until the year 2100. This is an important result in a climate change context, and one of a global dimension.

The manuscript investigates the future stability of the West Antarctic Ice Sheet (WAIS) exploring how ice-sheet models may be initialised in a way that incorporates present-day satellite observations of ice mass loss. The study shows that with present-day ocean water temperatures large parts of WAIS will deglaciate, with major implications for global sea levels, particularly in Europe. Model simulations also show that current ocean-driven melting trends will destabilize the Thwaites and Pine Island glaciers over the next several centuries even in the absence of further change, leading to rapid ice loss.

For most countries dealing with the consequences of sea-level rise, a constructive discussion about actionable science is critical. There is a need to strengthen the lines of evidence for sea-level projections and at the same time there is a strong need for practitioners to understand which science they should rely on to plan adaptation actions. This manuscript outlines when scientific results may be considered actionable and discusses the risks in using novel results to inform decision-making. The case study discussed in the manuscript is also valid for other climate-change-related fields.

Ice streams are dynamical features that control the ice flow from an ice sheet's interior to its margin. Due to their dynamical nature, ice streams may change flow speed and direction in response to external forcing or due to internal variability. This study investigates the interplay between neighbouring ice streams that feed the Dotson and Crosson Ice Shelves in West Antarctica. The authors use satellite observations to measure the change in ice speed and flow direction from 2005 to 2022, and their observations reveal a highly complex pattern of dynamical changes and the redirection of ice flow from one stream to another. These observations reveal previously undocumented impacts of spatially varying ice flow, which may influence the ice shelf and ice sheet.

The study is one of the first to model fractures in ice sheets - a fascinating and visually stunning aspect of ice sheets. The model shows that crevasses may transport large volumes of water to the bed of a glacier very quickly and captures the opening of the crevasses due to the water inflow. The impact of surface lakes on the Greenland ice sheet dynamics and mass loss is now better described.

This study explores how choice of glacier and GCM model can impact prediction of future runoff for 75 of the world's major river basins. It is a very timely piece of research given ongoing pressures on river flow in glaciated regions which are on track to worsen, and offers a framework from which modellers can produce policy-relevant information related to future contribution of glaciers to freshwater resources, including consideration of uncertainty.

The Northeast Greenland is one of the most remote and inaccessible areas in the world. This study presents a comprehensive overview of numerous observations from the region as well as results from numerical model simulations. The results highlight the dynamics of Greenland's largest marine-terminating glacier, revealing key differences between the two neighbouring glacier outlets. The authors also discuss the impact of glacier melt on the ocean, including the potential impact on the Atlantic meridional overturning circulation - a key topic of concern in the community and the general public.

This work examines what determines the future of a glacier system in Greenland and represents an important advance in data-constrained forecasting for glacier systems. The manuscript investigates how sea-level rise predictions may be improved by leveraging a range of glaciological, climate, and modelling disciplines. Bringing together models and data, the authors demonstrate that human behaviour is the main determining factor of the glacier's future development.