Glaciers in the high-latitude Northern Hemisphere (outside Greenland) are losing mass at roughly half the Greenland ice sheet's rate. Still, this is usually not included in the freshwater input data for ocean circulation models. Also, the submarine melt of glaciers (outside the ice sheets) has not been quantified yet. We tackle both issues by using a glacier model's output as additional fresh water for the ocean model and by using the ocean model's output to model submarine melt.

Past research has shown that the North Atlantic Ocean circulation reacts strongly to global forest cover changes. Using Earth system model simulations featuring idealised forestation and deforestation of North America, this study shows that the North Atlantic Ocean is highly sensitive to upstream land cover changes. Anomalies in air temperature over land propagate downstream and modify ocean-to-atmosphere heat fluxes over the North Atlantic through altering the cold-air outbreak frequency.

Early warning signals used to detect tipping points are tested on a dataset of daily views of online electric vehicle (EV) adverts. The attention given to EV adverts spikes upwards after specific events before returning to normality more slowly over time. Alongside increases in autocorrelation and variance, these results are consistent with the movement towards a tipping point to an EV-dominated market, highlighting the ability of these signals to work in previously untested social systems.

This study explores using large language models (LLMs) to simulate policy-making in land systems. We integrated LLMs into a land use model and simulated LLM-powered institutional agents steering meat production by taxation. The results show LLMs can generate boundedly rational policy-making behaviours that can hardly be modelled using conventional methods; LLMs can offer the reasoning behind policy actions. We also discussed LLMs’ potential and challenges in large-scale simulations.

Using a comprehensive set of simulations with the Max Planck Institute for Meteorology Earth System Model, we disentangle and quantify the impacts of a disintegrated Greenland Ice Sheet (GrIS) on the global climate, including the deep ocean. We find most of the climate response is driven by Greenland’s lower elevation and enhanced by changed surface properties, although regional differences exist. Despite the confinement of most responses to the Arctic, the GrIS also influences remote climates.