The Cryosphere
The Cryosphere
TC
Articles | Volume 20, issue 10
Articles | Volume 20, issue 10
https://doi.org/10.5194/tc-20-5973-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-20-5973-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 10
Research article
 | 
15 Oct 2026
Research article |  | 15 Oct 2026

Improving snow simulations through improved representations of vegetation conditions: insights from high resolution simulations over California

Aniket Gupta, Ali Behrangi, Mohammad Farmani, Patrick Broxton, and Guo-Yue Niu

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Latest update: 15 Oct 2026
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Short summary
Most hydrological models tend to underestimate snow over the mountainous southwestern US. This may result from uncertainties in precipitation forcing and/or inadequate representation of snow–vegetation interactions, particularly canopy interception and shading. Through model experiments, we demonstrate how downscaled meteorological forcing and improved vegetation representation can improve snow simulations over the southwestern US.
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