EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with Integrated Forecasting System (IFS) - Finite volumE Sea Ice-Ocean Model (FESOM2.5): historical simulation (Version 1)

Ghosh, Rohit; Cheedela, Suvarchal Kumar; Wickramage, Chathurika; Wachsmann, Fabian; Beyer, Sebastian; Aengenheyster, Matthias; Becker, Tobias; Rackow, Thomas; Koldunov, Nikolay; Sidorenko, Dmitry; Jung, Thomas

EERIE hist-1950 IFS-FESOM

Summary: The EU project European Eddy RIch Earth System Models (EERIE) aims to advance kilometer-scale Earth System Models (ESMs) to reduce biases associated with low-resolution climate simulations. Its goal is to develop centennial-scale ESMs that explicitly resolve ocean mesoscale processes, thereby improving the representation of long-term climate evolution, variability, extremes, and potential tipping points.
One of these models, IFS-FESOM2-SR, couples the ECMWFs Integrated Forecast System (IFS) atmosphere (9 km resolution) with the FESOM2.5 ocean model (minimum 5 km resolution). The FESOM2.5 ocean model employs an NG5 unstructured triangular grid with 70 depth levels, achieving ~5 km resolution in eddy-rich mid- and high-latitudes and ~13 km in the tropics (Rackow et al., 2025). Its sea-ice component is FESIM (Danilov et al., 2015). The atmospheric model, IFS cycle 48r1 from ECMWF, uses a Tco1279 (~10 km) octahedral grid with 137 vertical levels. The setup follows Rackow et al. (2025) except for deep convection, where the operational IFS scheme is used instead of the modified reduced cloud-base mass flux version.
Following the HighResMIP protocol (Haarsma et al., 2016), the main simulations were preceded by a 50-year spin-up period using 1950 CMIP6 forcing. From the spin-up’s final state, two simulations were launched in parallel: a control run and a historical run using CMIP6 forcings. According to the HighResMIP protocol, the control simulation aimed to assess any potential drift within the simulation, enabling us to exclude the influence of such drift in order to better understand the impact of changes in radiative forcing over time. The historical simulation employed CMIP6 historical forcing spanning from 1950 to 2014, running for a total of 65 years.
In the context of tropospheric aerosols, we employed the CONFESS aerosol forcing, which is available from 1970 onwards and is applied in five-year epochs. For the period preceding 1970 (from 1950 to 1969), we generated epochs by replicating the 1970 aerosol forcing. This generation of aerosol forcing was conducted as part of the EU project DestinE (Destination Earth), from which additional model developments and adaptations are being integrated. These efforts aim to prepare the IFS-FESOM for conducting multidecadal climate simulations.
Project: EERIE (European Eddy RIch Earth System Models)
Contact: Dr. Rohit Ghosh (
rohit.ghosh@nullawi.de
)
Additional Information: EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with IFS-FESOM: historical run - File-PIDs
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 1950-01-01 to 2014-12-31
Use constraints: Creative Commons Attribution Non Commercial Share Alike 4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/)
Data Catalog: World Data Center for Climate
Size: 24.66 TiB (27110209466186 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2025-10-17
Review Date: 2025-10-17

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Cite as: Ghosh, Rohit; Cheedela, Suvarchal Kumar; Wickramage, Chathurika; Wachsmann, Fabian; Beyer, Sebastian; Aengenheyster, Matthias; Becker, Tobias; Rackow, Thomas; Koldunov, Nikolay; Sidorenko, Dmitry; Jung, Thomas (2025). EERIE: Ocean Eddy-rich Kilometer-scale Climate Simulation with Integrated Forecasting System (IFS) - Finite volumE Sea Ice-Ocean Model (FESOM2.5): historical simulation (Version 1). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/EERIE_FESOM_hist_v1

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Funding: European Commission - Horizon Europe
Grant/Award No: 101081383 - European Eddy-RIch ESMs

FAIR

F-UJI result: total 76.92 %

Description: Summary:
Findable: 6 of 7 level;
Accessible: 3 of 7 level;
Interoperable: 6 of 6 level;
Reusable: 5 of 6 level
Method: F-UJI WDCC service v3.5.0 metrics_v0.8
Method Description: Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.15045911 Metric Version: metrics_v0.8
Method Url: https://www.f-uji.net
Result Date: 2025-11-19

Scientific Quality Assurance (SQA)

SQA - Scientific Quality Assurance 'approved by author'

Result Date: 2025-11-13

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

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: https://www.wdc-climate.de/docs/WDCC_User_Guide_Data_v1.pdf
Result Date: 2025-11-13

Contact type	Person	ORCID	Organization
Contact	Dr. Rohit Ghosh	-	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Dr. Rohit Ghosh	-	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Dr. Suvarchal Kumar Cheedela	-	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Dr. Chathurika Wickramage	0000-0002-8158-1163	Deutsches Klimarechenzentrum
Author	Fabian Wachsmann	0000-0003-4389-6911	Deutsches Klimarechenzentrum
Author	Dr. Sebastian Beyer	0000-0002-3731-0278	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Dr. Matthias Aengenheyster	-	European Centre for Medium-Range Weather Forecasts
Author	Tobias Becker	-	European Centre for Medium-Range Weather Forecasts
Author	Dr. Thomas Rackow	0000-0002-5468-575X	European Centre for Medium-Range Weather Forecasts
Author	Dr. Nikolay Koldunov	0000-0002-3365-8146	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Dr. Dmitry Sidorenko	-	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Author	Prof. Dr. Thomas Jung	0000-0002-2651-1293	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Investigator	Dr. Rohit Ghosh	-	Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Funder	-	-	European Commission - Horizon Europe

Is documented by

[1] DOI Haarsma, Reindert J.; Roberts, Malcolm J.; Vidale, Pier Luigi; Senior, Catherine A.; Bellucci, Alessio; Bao, Qing; Chang, Ping; Corti, Susanna; Fučkar, Neven S.; Guemas, Virginie; von Hardenberg, Jost; Hazeleger, Wilco; Kodama, Chihiro; Koenigk, Torben; Leung, L. Ruby; Lu, Jian; Luo, Jing-Jia; Mao, Jiafu; Mizielinski, Matthew S.; Mizuta, Ryo; Nobre, Paulo; Satoh, Masaki; Scoccimarro, Enrico; Semmler, Tido; Small, Justin; von Storch, Jin-Song. (2016). High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6. doi:10.5194/gmd-9-4185-2016

Is compiled by

[1] DOI Rackow, Thomas; Pedruzo-Bagazgoitia, Xabier; Becker, Tobias; Milinski, Sebastian; Sandu, Irina; Aguridan, Razvan; Bechtold, Peter; Beyer, Sebastian; Bidlot, Jean; Boussetta, Souhail; Deconinck, Willem; Diamantakis, Michail; Dueben, Peter; Dutra, Emanuel; Forbes, Richard; Ghosh, Rohit; Goessling, Helge F.; Hadade, Ioan; Hegewald, Jan; Jung, Thomas; Keeley, Sarah; Kluft, Lukas; Koldunov, Nikolay; Koldunov, Aleksei; Kölling, Tobias; Kousal, Josh; Kühnlein, Christian; Maciel, Pedro; Mogensen, Kristian; Quintino, Tiago; Polichtchouk, Inna; Reuter, Balthasar; Sármány, Domokos; Scholz, Patrick; Sidorenko, Dmitry; Streffing, Jan; Sützl, Birgit; Takasuka, Daisuke; Tietsche, Steffen; Valentini, Mirco; Vannière, Benoît; Wedi, Nils; Zampieri, Lorenzo; Ziemen, Florian. (2025). Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4. doi:10.5194/gmd-18-33-2025

[2] DOI Danilov, S.; Wang, Q.; Timmermann, R.; Iakovlev, N.; Sidorenko, D.; Kimmritz, M.; Jung, T.; Schröter, J. (2015). Finite-Element Sea Ice Model (FESIM), version 2. doi:10.5194/gmd-8-1747-2015

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Ocean Eddy-rich Kilometer-scale Climate Simulation with Integrated Forecasting System (IFS) - Finite volumE Sea Ice-Ocean Model (FESOM2.5)

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Parent project(s)

European Eddy RIch Earth System Models