Mesoscale eddies in EERIE models
Watch EERIE project scientists Stella Bērziņa (ETH Züric) and Stephy Libera’s (UC Louvain) presentation on Mesoscale eddies in EERIE models, a summary of the key project deliverable D5.1. The session …
Data-driven equation discovery of a sea ice albedo parametrisations + Machine Learning insights…
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 …
Characterizing Uncertainty in Deep Convection Triggering Using Explainable Machine Learning
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. …
Toward Improving Representation of the Atlantic Meridional Overturning Circulation in Climate Models
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 …
Simulating Atmospheric Processes with Stochastic AI: A New Step Toward Smarter Climate Models
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 …
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 …
Climatology of Atmospheric Rivers + Leveraging Earth Observation data to predict outbreaks
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 …
Spatial variation of future trends in Atlantic upwelling cells from two CMIP6 models
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, …
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EERIE researchers at the EGU2025
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 …
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 …
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