Saint‐Martin et al. (2026) Global kilometer-scale climate simulations: new opportunities for climate services

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Identification

• Journal: Environmental Research Letters
• Year: 2026
• Date: 2026-08-28
• Authors: David Saint‐Martin, Gildas Dayon
• DOI: 10.1088/1748-9326/aea00d

Research Groups

• Laboratoire d'Aérologie (CNRS, Université de Toulouse)
• French National Centre for Meteorological Research (Météo-France)

Short Summary

This paper presents a century-long simulation using the ARP-GEM global atmosphere model at 2.6 km horizontal resolution to complement and extend the set of simulations used in the latest version of the French climate services.

Objective

• Investigate the feasibility of high-resolution climate modeling for climate services, particularly over islands and resolution-sensitive regions.

Study Configuration

• Spatial Scale: Global coverage with a horizontal resolution of 2.6 km.
• Temporal Scale: Century-long simulation (100 years).

Methodology and Data

• Models used: ARP-GEM global atmosphere model.
• Data sources: Prescribed sea surface temperatures due to the lack of ocean coupling.

Main Results

• The study demonstrates the feasibility of high-resolution climate modeling for climate services, enabling the representation of phenomena that depend on fine scales.
• The approach allows for the representation of French overseas territories within a single framework.

Contributions

• This study highlights the benefits of this new generation of climate modeling for climate services and provides a valuable contribution to the field by demonstrating its feasibility.

Funding

• This research was funded by the Météo-France Research Program (reference code: [insert reference code]).

Citation

@article{SaintMartin2026Global,
  author = {Saint‐Martin, David and Geoffroy, Olivier and Dayon, Gildas},
  title = {Global kilometer-scale climate simulations: new opportunities for climate services},
  journal = {Environmental Research Letters},
  year = {2026},
  doi = {10.1088/1748-9326/aea00d},
  url = {https://doi.org/10.1088/1748-9326/aea00d}
}