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 which they’ll participate and the posters they’ll have displayed.
Presentations:
> On uniting Eulerian and Lagrangian mesoscale eddy perspectives. Stella Bērziņa (ETH Zürich).
Tuesday, 29 Apr, 17:20–17:30 (CEST) Room -2.92
This study aims to bridge the gap between two eddy detection methods by combining their strengths and leveraging high-resolution simulations from the coupled climate model ICON. Here, we identify daily objects from evolving fields to find the time at which each Eulerian eddy loses coherence. In doing so, we will be able to explore how eddy coherence changes through its lifecycle and geographical location. This combined methodology can deepen our understanding of mesoscale ocean transport by quantifying realistic eddy trapping ability.
Read on here.
> Unravelling the role of increased model resolution on surface temperature fields using explainable AI. Simon Michel (University of Oxford).
Tuesday, 29 Apr, 09:10–09:20 (CEST) Room C
Results indicate that models with similar ocean grids are more frequently confused by the neural network than those from similar modeling centers, emphasizing the crucial role of ocean resolution, particularly the presence of mesoscale eddies, in shaping climate simulations. Although the analysis is restricted to surface air temperature, the explainable AI approach offers a more nuanced understanding of model differences compared to traditional bias analyses. This methodology can be extended to other climate variables and ESM features, offering a powerful tool for enhancing model intercomparison and evaluating ESM performance.
Read on here.
> Eddy activity in the high-latitude Southern Ocean and its response to climate change. Nathan Beech (ETH Zürich).
Wednesday, 30 Apr, 09:30–09:40 (CEST) Room 0.14
Using a high-resolution ocean model and cost-reducing simulation design, eddy activity in the high southern latitudes is characterized with unprecedented detail, including 3-dimensional spatial distribution and characteristics, unobstructed information beneath sea ice, and projections of future conditions after prolonged anthropogenic warming.
Read on here.
> The role of small-scale ocean mixing processes in regional sea surface temperature. Audrey Delpech (CNRS).
Thursday, 01 May, 09:15–09:25 (CEST) Room 1.61/62g
In this study, we evaluate the capabilities of km-scale coupled climate simulations delivered by the EERIE project on the North Atlantic coastal shelves in the representation of sea surface temperature and air surface temperature. Our findings suggest that eddy-rich coupled simulations can alleviate some of the large-scale biases found at coarser resolution but at the same time point out persistent model biases at local-scale due to unresolved or poorly parameterized mixing processes.
Read on here.
> Data-driven equation discovery of a sea ice albedo parametrisation. Diajeng Atmojo (University of Bremen).
Thursday, 01 May, 14:20–14:30 (CEST) Room 1.34
To understand how additional model complexity reduces error, we evaluate our discovered equations against baseline models with different complexities, such as multilayer perceptron neural networks and polynomials on an error-complexity plane, identifying the models on the Pareto front. Our results indicate that parsimonious models demonstrate better generalisation to unseen data than models using the full set of input variables.
Read on here.
> The EERIE cloud: Apps and Catalogs for Cloudified Earth System Model Output. Fabian Wachsmann (DKRZ).
Friday, 02 May, 16:35–16:45 (CEST) Room -2.32
A new kerchunk-plugin enables data access to raw model output as-is to enable verifiable data transfer with better latency. STAC (Spatio Temporal Assets Catalog) catalogs are deployed and displayed through the EERIE cloud to make the provided DKRZ datasets findable and accessible. Two in-browser apps can be started, pre-configured for each dataset, by just clicking buttons: (1) the data visualization app “gridlook” as well as a (2) jupyterlite for interactive analysis and monitoring.
Read on here.
Posters:
> Implementing FAIR Principles for Earth System Data: Insights from the EERIE project. Chathurika Wickramage (DKRZ).
Tuesday, 29 Apr, 10:45–12:30 (CEST), Display time Tuesday, 29 Apr, 08:30–12:30 Hall X4, X4.9.
For climate science, the application of FAIR principles is transformative. These efforts promote global collaboration, enhance the transparency of climate models, and equip policymakers with reliable data to address critical challenges such as climate adaptation and mitigation. Initiatives like EERIE cloud, ESGF and advancements in data processing, such as kerchunking massive datasets, further enhance the FAIRness of climate data, driving innovation and impact.
Read on here.
> Global propagation of marine heatwaves. Emma Ferri (ETH Zürich).
Tuesday, 29 Apr, 16:15–18:00 (CEST), Display time Tuesday, 29 Apr, 14:00–18:00 Hall X4, X4.78
Marine heatwaves (MHWs) are extreme warming events in the ocean that can significantly impact marine ecosystems and economies. While such extreme events have garnered significant research attention in recent years, most research to date took an Eulerian perspective, that is, they considered MHW as stationary objects. This disregards the fact that MHW are three dimensional objects that tend to propagate in space and time.
Read on here.
> Exploring the mixing of freshwater around Greenland in a high-resolution climate model using the freshwater transformation framework. Fraser Goldsworth (MPI-M).
Wednesday, 30 Apr, 10:45–12:30 (CEST), Display time Wednesday, 30 Apr, 08:30–12:30 Hall X5, X5.242
In this study, I describe and use the freshwater transformation framework (based on the water mass transformation framework pioneered by Walin (1982)) to quantify how rates of diahaline mixing vary around Greenland with both season and region. I demonstrate the framework using an eddy resolving coupled configuration of the ICON earth system model (5 km ocean, 10 km atmosphere).
Read on here.
> Comparing biases in the earth system model ICON-ESM-ER with its predecessor MPI-ESM-ER. Chathurika Wickramage (DKRZ).
Wednesday, 30 Apr, 10:45–12:30 (CEST), Display time Wednesday, 30 Apr, 08:30–12:30 Hall X5, X5.185
The analysis reveals distinct differences in biases between the two models. For instance, focusing on the Southern Ocean, ICON-ESM-ER exhibits overall warmer biases than its predecessor MPI-ESM-ER and shows very large positive dynamic sea level biases. Additionally, ICON-ESM-ER produces large positive zonal surface wind biases in this region.
Read on here.
> 1950-control vs 1850-control: How do HighResMIP simulations relate to CMIP simulations? Michael Lai (Met Office)
Thursday, 01 May, 10:45–12:30 (CEST), Display time Thursday, 01 May, 08:30–12:30 Hall X5, X5.142
In this study we analyse the control and historical simulations of the HadGEM3-GC3.1 model, which performed control and historical simulations based on both 1950 and 1850 baselines. Our results show that the absolute temperature is sensitive to the different experimental protocol, but the anomalies are much more comparable. This opens an interesting discussion on whether climate change should be discussed in terms of absolute values or anomalies.
Read on here.
> Scaling Down ESS Datasets: Lessons from the EERIE Project on Compression. Oriol Tinto (BSC).
Thursday, 01 May, 10:45–12:30 (CEST), Display time Thursday, 01 May, 08:30–12:30 Hall X4, X4.68
This study showcases the transformative potential of lossy compression to make high-resolution datasets more manageable, ensuring they remain accessible and scientifically reliable for stakeholders while significantly reducing resource demands.
Read on here.
