Abstract
When applied to a snow-covered surface, aerodynamic roughness length, z 0 , is typically considered as a static parameter within energy balance equations. However, field observations show that z 0 changes spatially and temporally, and thus z 0 incorporated as a dynamic parameter may greatly improve models. To evaluate methods for characterizing snow surface roughness, we compared concurrent estimates of z 0 based on (1) terrestrial light detection and ranging derived surface geometry of the snowpack surface (geometric, z 0G ) and (2) vertical wind profile measurements (anemometric, z 0A ). The value of z 0G was computed from Lettau’s equation and underestimated z 0A but compared well when scaled by a factor of 2.34. The Counihan method for computing z 0G was found to be unsuitable for estimating z 0 on a snow surface. During snowpack accumulation in early winter, z 0 varied as a function of the snow-covered area (SCA). Our results show that as the SCA increases, z 0 decreases, indicating there is a topographic influence on this relation.
Author supplied keywords
Cite
CITATION STYLE
Sanow, J. E., Fassnacht, S. R., Kamin, D. J., Sexstone, G. A., Bauerle, W. L., & Oprea, I. (2018). Geometric versus anemometric surface roughness for a shallow accumulating snowpack. Geosciences (Switzerland), 8(12). https://doi.org/10.3390/geosciences8120463
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.