On June 16, our Storms, Eddies and Science Hour featured EERIE project scientists Diajeng Atmojo (University of Bremen) and Simon Michel (University of Oxford) speaking about “Data-driven equation discovery of …
Realistically representing deep atmospheric convection is important for accurate numerical weather and climate simulations. However, parameterizing where and when deep convection occurs (“triggering”) is a well-known source of model uncertainty. …
Approximately 50 researchers from modeling centers and academia attended a workshop organized by the CLIVAR Atlantic Regional Panel AMOC Task Team to discuss how to improve the modeling of the …
Understanding the complex interplay of atmospheric processes is one of the biggest challenges in climate science. A new study, led by EERIE project researcher Gunnar Behrens, brings forward promising advances …
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 …
Our May ‘Storms, Eddies and Science Hour’ webinar features EERIE project scientists Amber Sneddon (UCT) speaking about “Climatology of Atmospheric Rivers in the South Atlantic Basin using modern image processing-based …
Eastern Boundary Upwelling Systems (EBUS) are characterized by wind-triggered upwelling of deep waters along the coast. They are hotspots of biological productivity and diversity and therefore have a high economic, …
Read more “Spatial variation of future trends in Atlantic upwelling cells from two CMIP6 models”
The European Geosciences Union’s General Assembly 2025 will feature an extensive participation by EERIE project researchers. For you not to miss a thing, we’ve put together all the sessions in …
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 …
Read more “Atmospheric imprint of ocean eddies in high-resolution atmosphere-only simulations”
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 …
