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Comparison of Snow Deposition, the Snow Cover Energy Balance, and Snowmelt at Two Sites in a Semiarid Mountain Basin
Publisher: American Meteorological Society
Abstract: Significant differences in snow deposition, development of the seasonal snow cover, and the timing of melt can occur over small spatial distances because of differences in topographically controlled wind exposure and canopy ...
Spatial Snow Modeling of Wind-Redistributed Snow Using Terrain-Based Parameters
Publisher: American Meteorological Society
Abstract: Wind is widely recognized as one of the dominant controls of snow accumulation and distribution in exposed alpine regions. Complex and highly variable wind fields in rugged terrain lead to similarly complex snow distribution ...
Statistical Downscaling of Gridded Wind Speed Data Using Local Topography
Publisher: American Meteorological Society
Abstract: inds, particularly high winds, strongly affect snowmelt and snow redistribution. High winds during rain-on-snow events can lead to catastrophic flooding while strong redistribution events in mountain environments can ...
Assessing the Sensitivities of a Distributed Snow Model to Forcing Data Resolution
Publisher: American Meteorological Society
Abstract: ighly heterogeneous mountain snow distributions strongly affect soil moisture patterns; local ecology; and, ultimately, the timing, magnitude, and chemistry of stream runoff. Capturing these vital heterogeneities in a ...
Assessment of the Timing of Daily Peak Streamflow during the Melt Season in a Snow-Dominated Watershed
Publisher: American Meteorological Society
Abstract: revious studies have shown that gauge-observed daily streamflow peak times (DPTs) during spring snowmelt can exhibit distinct temporal shifts through the season. These shifts have been attributed to three processes: 1) ...
The Use of Similarity Concepts to Represent Subgrid Variability in Land Surface Models: Case Study in a Snowmelt-Dominated Watershed
Publisher: American Meteorological Society
Abstract: his paper develops a multivariate mosaic subgrid approach to represent subgrid variability in land surface models (LSMs). The k-means clustering is used to take an arbitrary number of input descriptors and objectively ...