Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/gmd-18-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Model description paper
 | 
27 Jan 2025
Model description paper |  | 27 Jan 2025

The very-high-resolution configuration of the EC-Earth global model for HighResMIP

Eduardo Moreno-Chamarro, Thomas Arsouze, Mario Acosta, Pierre-Antoine Bretonnière, Miguel Castrillo, Eric Ferrer, Amanda Frigola, Daria Kuznetsova, Eneko Martin-Martinez, Pablo Ortega, and Sergi Palomas

Data sets

Data for "The very-high resolution configuration of the EC-Earth global model for HighResMIP" Eduardo Moreno-Chamarro https://doi.org/10.5281/zenodo.12078052

EC-Earth-Consortium EC-Earth3P-HR model output prepared for CMIP6 HighResMIP hist-1950 EC-Earth Consortium EC-Earth-Consortium EC-Earth3P-HR model output prepared for CMIP6 HighResMIP hist-1950

EC-Earth-Consortium EC-Earth3P model output prepared for CMIP6 HighResMIP hist-1950 EC-Earth Consortium https://doi.org/10.22033/ESGF/CMIP6.4682

ERA5 monthly averaged data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.6860a573

Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties (https://climate.esa.int/en/projects/cloud/data/) M. Stengel et al. https://doi.org/10.5194/essd-12-41-2020

The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present) (https://psl.noaa.gov/data/gridded/data.gpcp.html) R. F. Adler et al. https://doi.org/10.1175/1525- 7541(2003)004<1147:TVGPCP>2.0.CO;2

EN4: quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates (https://www.metoffice.gov.uk/hadobs/en4/) S. A. Good et al. https://doi.org/10.1002/2013JC009067

Global sea ice concentration reprocessing dataset 1978–2015 (v1.2) EUMETSAT Ocean and Sea Ice Satellite Application Facility https://osi-saf.eumetsat.int/products/sea-ice-products

Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates (https://psc.apl.washington.edu/zhang/Global_seaice/data.html) J. Zhang and D. A. Rothrock https://doi.org/10.1175/1520-0493(2003)131<0845:Mgsiwa>2.0.Co;2

An introduction to JOFURO3, a third-generation Japanese ocean flux data set using remote-sensing observations (https://www.j-ofuro.com/en/dataset/) H. Tomita et al. https://doi.org/10.1007/s10872- 018-0493-x

Model code and software

The EC-Earth workflow P. Echevarría et al. https://earth.bsc.es/gitlab/es/auto-ecearth3

Seamless management of ensemble climate prediction experiments on HPC platforms (https://earth.bsc.es/gitlab/es/autosubmit) D. Manubens-Gil et al. https://doi.org/10.1109/HPCSim.2016.7568429

Download
Short summary
We present the high-resolution model version of the EC-Earth global climate model to contribute to HighResMIP. The combined model resolution is about 10–15 km in both the ocean and atmosphere, which makes it one of the finest ever used to complete historical and scenario simulations. This model is compared with two lower-resolution versions, with a 100 km and a 25 km grid. The three models are compared with observations to study the improvements thanks to the increased resolution.
Read more