Articles | Volume 20, issue 10
https://doi.org/10.5194/tc-20-5973-2026
https://doi.org/10.5194/tc-20-5973-2026
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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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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