Impacts of snow surface aerodynamic resistance on snow water equivalent simulations in forested regions

Xiaoyang Tang,Deshan Tang,Zhaocheng Wang, Charles J. Cederstrom,Enrique R. Vivoni

HYDROLOGICAL PROCESSES(2023)

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摘要
The aerodynamic resistance at the snow surface (ras) has an influence on the snowpack energy balance. However, there are no widely accepted approaches for parameterizing ras in forested regions. In this study, we derived ras under the influence of forest vegetation for five cases that depend on the canopy height and structure. Three parameterization schemes for ras were then integrated into a distributed hydrologic model: (1) the aerodynamic resistance above the canopy, ignoring the canopy structure effects on ras, (2) the full aerodynamic resistance formulation for the different canopy height cases, and (3) a simplified formulation that only represented the lower trunk layer. Model simulations were conducted at six snow telemetry (SNOTEL) sites in the Verde River Watershed, Arizona, and evaluated with respect to snow water equivalent (SWE) product from the SNOTEL sites and a gridded product. Results revealed the importance of accurately parameterizing vegetation canopy structure when calculating ras in forested regions. Cases where ras included the vertical structure effects showed improved simulations of SWE across all sites. Finally, ras is mostly determined by trunk layer aerodynamic resistance such that the simplified formulation is sufficient for representing forest canopy effects on ras. Representing vegetation structure effects on snow surface aerodynamic resistance (ras) is critical in snow simulations. The role of vegetation in increasing ras typically results in a larger simulated snowpack and in longer periods of snow persistence. ras can be determined in a simplified fashion by the aerodynamic resistance between the snow surface height and the top height of the trunk layer in forested areas.image
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关键词
distributed hydrologic model, eddy diffusivity, forests, snow resistance, snowpack dynamics
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