Articles | Volume 20, issue 7
https://doi.org/10.5194/tc-20-4157-2026
https://doi.org/10.5194/tc-20-4157-2026
Research article
 | 
28 Jul 2026
Research article |  | 28 Jul 2026

Evaluation of representation of seasonally frozen ground characteristics in Land Surface Models: JSBACH and CLM

Mittal Parmar, Kristina Fröhlich, Antonella Sanna, Tobias Stacke, Marianna Benassi, Zhicheng Luo, Daniele Peano, and Bodo Ahrens

Data sets

ERA5-land post-processed daily-statistics from 1950 to present J. Muñoz Sabater et al. https://doi.org/10.24381/cds.e9c9c792

Model code and software

Evaluation of representation of seasonally frozen ground characteristics in Land Surface Models: JSBACH and CLM M. Parmar et al. https://doi.org/10.5281/zenodo.18110147

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Short summary
Seasonally frozen ground strongly influences land–atmosphere interactions, yet its simulation remains uncertain in land surface models. This study evaluates 2 standalone LSM simulations forced by reanalysis data (1986-2022) and validates results against reference observations at 26 Russian sites. Results show contrasting biases linked to snow insulation and freeze–thaw processes, highlighting the need for improved snow and soil parameterizations.
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