Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 19
Articles | Volume 18, issue 19
https://doi.org/10.5194/gmd-18-6885-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-6885-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 19
Development and technical paper
 | 
07 Oct 2025
Development and technical paper |  | 07 Oct 2025

Implementation of an intermediate-complexity snow-physics scheme (ISBA-Explicit Snow) into a sea ice model (SI3): 1D thermodynamic coupling and validation

Théo Brivoal, Virginie Guemas, Martin Vancoppenolle, Clément Rousset, and Bertrand Decharme

Supplement

https://doi.org/10.5194/gmd-18-6885-2025-supplement

Data sets

FORCINGS_SI3_ISBAES_SHEBA T. Brivoal https://doi.org/10.5281/zenodo.14720364

DATA_SI3_ISBAES_VALIDATION_AT_SHEBA T. Brivoal https://doi.org/10.5281/zenodo.14720517

Lagrangian Snow Distributions for Sea-Ice Applications, Version 1 G. E. Liston et al. https://doi.org/10.5067/27A0P5M6LZBI

Model code and software

NEMO ocean engine M. Gurvan et al. https://doi.org/10.5281/zenodo.6334656

NEMO_SI3_ISBAES_fortran_source_files_and_namelists T. Brivoal https://doi.org/10.5281/zenodo.14719233

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Short summary
Snow in polar regions is key to sea ice formation and the Earth's climate, but current climate models simplify snow cover on sea ice. This study integrates an intermediate-complexity snow-physics scheme into a sea ice model designed for climate applications. We show that modeling the temporal changes in properties such as the density and thermal conductivity of the snow layers leads to a more accurate representation of heat transfer between the underlying sea ice and the atmosphere.
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