Highlight articles

Coastal process understanding through automated identification of recurring surface dynamics in permanent laser scanning data of a sandy beach

We developed a new method to automatically detect and group short-term topographic changes on sandy beaches using hourly 3D laser scans collected over three years. By distinguishing variations in patterns of sand deposition and erosion, the approach allows scientists to study how beaches change at different moments in time and link these changes to environmental conditions like winds, waves or bulldozers, improving understanding and prediction of dynamics of sandy beaches.

First Alps-wide reconstruction of LGM glacial sediment transport enabled by GPU-accelerated particle tracking

This study reconstructs for the first time the transport-pathways of sediments by glaciers during the last glaciation of the European Alps, 24000 years ago. This helps us understand how the European Alps were shaped by past glaciations and helps us better constrain the mechanisms of iceflow, glacier erosion and the movement of large sediment masses by ice. This breakthrough is achieved by coupling a smart particle-tracking algorithm to a machine-learning-enhanced glacier evolution model.

Quantification of the influence of anthropogenic and natural factors on the record-high temperatures in 2023 and 2024

Global mean surface temperature anomalies in 2023 and 2024 were the highest on the modern record. We quantify contributions to these anomalies from human activity, including the steep reduction in sulfur emissions from ships that began in 2020, and numerous natural factors. We attribute about 92% of the observed anomalies to a combination of various human-induced and natural factors, including important contributions from the reduction in marine sulfur emissions and the Indian Ocean Dipole.

A method for quantifying correlation in the shape of oceanographic profile data

Oceanographic profiles comprise measurements of variables across depths. Here, a method is presented to calculate the correlation between profiling datasets by quantifying profile shape variability. This enables dependencies between multiple variables, and spatial or temporal changes in a single variable, to be described. Two case studies demonstrate the method using profiling data from a stationary mooring and drifting floats.

Review article: 30 years of airborne radar surveys on the Antarctic and Greenland ice sheets by the Alfred Wegener Institute

This review synthesizes 30 years of Alfred Wegener Institute’s (AWI) airborne radar research in Antarctica and Greenland, detailing six radar systems and their applications in studying ice dynamics, basal properties, and subglacial landscapes. Moreover, it introduces the public release of AWI's airborne radar datasets via the Radar Data over Polar Ice Sheets Viewer and PANGAEA, ensuring findable, accessible, interoperable, and reusable access for future polar research.

Ideas and perspectives: Mineralizing fluid control on foreign elements in biogenic CaCO₃: insights from otoliths

Fish otolith formation is key for understanding the incorporation of elements into biominerals. It is often assumed that the final step of biomineralization consists of inorganic precipitation as the fluid where biominerals form can hardly be sampled. Thanks to fish ear anatomy, this can be overcome with otoliths. By comparing otolith formation and inorganic precipitation, we proved that this assumption is not always true. Our findings could refine models and shed light on biomineralization.

Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes

Common metrics used to evaluate hydrologic models make it relatively easy to achieve high performance scores in highly seasonal catchments. However, we analysed 18 hydrologic models and found that almost all were worse at simulating interannual variability and change in seasonal streamflow regimes. This suggests that climate change impacts on streamflow may not be accurately predicted in highly seasonal tropical, alpine, and polar regions, which are highly vulnerable to climate change.

Multi-hazard risk assessment and management: pathways for the Sendai Framework and beyond

Natural hazards like floods, earthquakes, and landslides are often interconnected which may create bigger problems than when they occur alone. We studied expert discussions from an international conference to understand how scientists and policymakers can better prepare for these multi-hazards and use new technologies to protect its communities while contributing to dialogues about future international agreements beyond the Sendai Framework and supporting global sustainability goals.

Evaluation of stratospheric transport in three generations of Chemistry-Climate Models

Accurate representation of stratospheric transport in Chemistry-Climate Models is essential for reliable climate projections. This study evaluates three generations of models using observational data and reanalyses, identifying persistent biases and their potential causes. Some biases persist or even worsen in newer models. These findings highlight key limitations and inform efforts to improve models and advance understanding through process-based studies and enhanced observations.

Interplay of North Atlantic freshening and deep convection during the last deglaciation constrained by Iberian speleothems

Stable isotope data of a precisely dated stalagmite from northwestern Iberia indicate gradual North Atlantic meltwater input during the last glacial maximum, followed by abrupt surges early in the last deglaciation. The first abrupt surge was decoupled from first cooling about 810 years later – unlike later events – which reveals that the Atlantic circulation’s sensitivity to meltwater is variable and related to the evolving background climate boundary conditions.

News Highlight articles

Highlight articles

Information for

External links