Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5743-2026
https://doi.org/10.5194/gmd-19-5743-2026
Model evaluation paper
 | 
01 Jul 2026
Model evaluation paper |  | 01 Jul 2026

Optimization of snow cover fraction parameterization in the Community Land Model: implementation and preliminary validation over the Tibetan Plateau

Kai Yang, Chenghai Wang, Yang Cui, Lingyun Ai, Feimin Zhang, and Pinghan Zhaoye

Data sets

USGS EROS Archive - Digital Elevation - HYDRO1K USGS https://doi.org/10.5066/F77P8WN0

Model code and software

Codes for manuscript "Optimization of snow cover fraction parameterization in the Community Land Model: implementation and preliminary validation over the Tibetan Plateau" Kai Yang https://doi.org/10.5281/zenodo.20822911

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Short summary
Climate models still exhibit substantial cold biases over the Tibetan Plateau, with snow cover biases recognized as one of the major contributing factors. By incorporating the effects of standing dead grass stems and topographic relief on snow distribution and snow depletion processes, the snow cover fraction (SCF) parameterization was optimized, reducing positive SCF biases by 63 % and alleviating surface cold biases by approximately 1–2 °C in snow-affected regions.
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