Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline

Gaining knowledge of the past and present variations of the Atlantic meridional overturning circulation (AMOC) is crucial for the development of accurate future climate projections. The short range covered by …

Atmospheric imprint of ocean eddies in high-resolution atmosphere-only simulations

Our April 2025 ‘Storms, Eddies and Science Hour’ features EERIE project scientist Matthias Aengenheyster talking about “Atmospheric imprint of ocean eddies in high-resolution atmosphere-only simulations”. Our joint WarmWorld + nextGEMs …

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi-Member and Stochastic Parameterizations

Deep learning is a powerful tool to represent subgrid processes in climate models, but many application cases have so far used idealized settings and deterministic approaches. Here, we develop stochastic …

Reducing Carbon Footprint in Climate Modeling: Unveiling the Efficiency and Energy Costs of Our Models

The Coupled Model Intercomparison Project (CMIP) has been pivotal in advancing our understanding of the Earth’s climate, enabling multi-model studies to simulate past, present, and future climate conditions. However, the …