EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with ICON: SSP2-4.5 Scenario Simulation (Version 1)

doi:10.26050/WDCC/EERIE_ICON_s245_v1

Kröger, Jürgen; Wickramage, Chathurika; Wachsmann, Fabian

Dataset GroupDOI
Summary
The EU project European Eddy RIch Earth System Models (EERIE) is developing a new generation of Earth System Models (ESMs) that explicitly resolve ocean mesoscale dynamics, an essential but still poorly explored part of the climate system. By using recent advances in computing and model design, EERIE aims to improve long-term climate simulations, including variability, extremes, and potential tipping points influenced by mesoscale ocean processes.

ICON in Sapphire configuration is one of these new models. Developed at the Max Planck Institute for Meteorology, ICON couples the atmosphere, land, ocean, and sea ice at kilometer-scale resolution. It resolves deep atmospheric convection and captures mesoscale to sub-mesoscale ocean eddies, with the option to refine the global ocean grid locally as a “computational telescope.”

The atmospheric component uses a nonhydrostatic icosahedral C grid with a hybrid sigma-z vertical coordinate and parameterizes only unresolved processes (radiation, microphysics, turbulence). The ocean component shares the same grid and solves the hydrostatic Boussinesq equations, using only a subset of parameterizations such as vertical mixing and velocity dissipation. Sea ice is included via FESIM dynamics and a simplified thermodynamic scheme. Ocean biogeochemistry is represented by HAMOCC6, simulating more than 20 tracers. The land component, JSBACH 4, provides surface fluxes and simplified hydrology with prescribed vegetation. All components are coupled through the YAC coupler (v2.4.2).

The main simulations were preceded by a 40-year spin-up period using 1950 CMIP6 forcing. From the spin-up’s final state, two parallel simulations were started: a 100-year control run and a historical run. The control run is used to identify and quantify model drift, ensuring that any long-term changes in the historical simulation could be attributed to variations in radiative forcing rather than internal drift. After completing the historical simulation, the experiment was extended along the SSP2-4.5 pathway to 2050, using CMIP6 scenario forcings. This extension enables estimates of near-future climate change from a long-term, kilometer-scale simulation.
Project
EERIE (European Eddy RIch Earth System Models)
Contact
Dr. Jürgen Kröger (
 juergen.kroeger@nullmpimet.mpg.de
0000-0002-6815-4220)
Additional Information
EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with ICON: SSP2-4.5 Scenario Simulation (Version 1) - File-PIDs
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2015-01-01 to 2050-12-31
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
10.04 TiB (11034633255716 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2035-11-27
Cite as
Kröger, Jürgen; Wickramage, Chathurika; Wachsmann, Fabian (2026). EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with ICON: SSP2-4.5 Scenario Simulation (Version 1). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/EERIE_ICON_s245_v1

BibTeX RIS
Funding
European Commission - Horizon Europe
Grant/Award No: 101081383 - European Eddy-RIch ESMs
Result Date
2026-01-06
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2026-01-06
Contact typePersonORCIDOrganization
-

Is compiled by

[1] DOI Hohenegger, Cathy; Korn, Peter; Linardakis, Leonidas; Redler, René; Schnur, Reiner; Adamidis, Panagiotis; Bao, Jiawei; Bastin, Swantje; Behravesh, Milad; Bergemann, Martin; Biercamp, Joachim; Bockelmann, Hendryk; Brokopf, Renate; Brüggemann, Nils; Casaroli, Lucas; Chegini, Fatemeh; Datseris, George; Esch, Monika; George, Geet; Giorgetta, Marco; Gutjahr, Oliver; Haak, Helmuth; Hanke, Moritz; Ilyina, Tatiana; Jahns, Thomas; Jungclaus, Johann; Kern, Marcel; Klocke, Daniel; Kluft, Lukas; Kölling, Tobias; Kornblueh, Luis; Kosukhin, Sergey; Kroll, Clarissa; Lee, Junhong; Mauritsen, Thorsten; Mehlmann, Carolin; Mieslinger, Theresa; Naumann, Ann Kristin; Paccini, Laura; Peinado, Angel; Praturi, Divya Sri; Putrasahan, Dian; Rast, Sebastian; Riddick, Thomas; Roeber, Niklas; Schmidt, Hauke; Schulzweida, Uwe; Schütte, Florian; Segura, Hans; Shevchenko, Radomyra; Singh, Vikram; Specht, Mia; Stephan, Claudia Christine; von Storch, Jin-Song; Vogel, Raphaela; Wengel, Christian; Winkler, Marius; Ziemen, Florian; Marotzke, Jochem; Stevens, Bjorn. (2023). ICON-Sapphire: simulating the components of the Earth system and their interactions at kilometer and subkilometer scales. doi:10.5194/gmd-16-779-2023

Parent

EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with ICON
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[Entry acronym: EERIE_ICON_s245_v1] [Entry id: 5358985]