Veris: fast &amp; efficient sea-ice modeling in Python with GPU acceleration

Gärtner, Jan P.; Losch, Martin; Cheedela, Suvarchal K.; Jochum, Markus; Nuterman, Roman

doi:10.5194/gmd-19-5225-2026

Articles | Volume 19, issue 12

https://doi.org/10.5194/gmd-19-5225-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-5225-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 12

Model description paper

|

17 Jun 2026

Model description paper |

| 17 Jun 2026

Veris: fast & efficient sea-ice modeling in Python with GPU acceleration

Jan P. Gärtner, Martin Losch, Suvarchal K. Cheedela, Markus Jochum, and Roman Nuterman

Data sets

Veris Benchmarks Data and Scripts Jan P. Gärtner https://doi.org/10.5281/zenodo.18620150

Model code and software

Veris Benchmarks Data and Scripts Jan P. Gärtner https://doi.org/10.5281/zenodo.18620150

MITgcm/MITgcm: checkpoint69k J.-M. Campin et al. https://doi.org/10.5281/zenodo.18371317

Veris Jan P. Gärtner https://doi.org/10.5281/zenodo.20643719

Veris (sharded arrays) Jan P. Gärtner https://doi.org/10.5281/zenodo.20643778

MITgcm sea ice dynamics benchmark M. Losch https://github.com/mjlosch/seaice_benchmark.git

MITgcm sea ice thermodynamics benchmark M. Losch https://github.com/mjlosch/MITgcm/tree/seaice_test_1d

Veros D. Häfner et al. https://doi.org/10.5281/zenodo.8430140

Short summary

Climate simulations help us understand the Earth system and its evolution. The models used to perform these simulations are highly complex, require significant programming expertise to build and consume a lot of energy. A key component of climate models is their sea ice components. In this work, we present a sea ice model that offers an easier development process while maintaining strong performance. The model is able to run on a computer's graphics card, which greatly reduces its energy usage.