Steven R. Fassnacht

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Snowpack properties vary dramatically over a wide range of spatial scales, from crystal microstructure to regional snow climates. Knowledge of snow depth variability in subalpine and alpine environments is important for understanding and modeling hydrologic, ecologic, and avalanche processes. Additionally, knowledge of how snow depth variability changes(More)
ii I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ABSTRACT The cryosphere is defined as the portions of the earth where water is in solid form. It represents a(More)
The performance of nine spatial interpolation models was evaluated to estimate snowmelt contributions to streamflow in the West Glacier Lake watershed (0.61 km 2), in the Snowy Range Mountains of Wyoming. West Glacier Lake watershed has a unique problem in that measured streamflow out of the watershed has been previously estimated at 40% to 130% greater(More)
Previous research using meteorological station data suggests that temperatures and precipitation have been changing more across the semi-arid and arid country of Mongolia than in many other locations across the globe. We used gridded monthly data to determine the annual and seasonal rate of change in total precipitation (P), maximum temperature (Tmax), and(More)
The snow surface is very dynamic, and the roughness of the snowpack surface varies spatially and temporally. The snow surface roughness influences the movement of air across the snow surface as well as the resulting transfers of energy, and is used to estimate the sensible and latent heat fluxes to and/or from the snow surface to the atmosphere. In the(More)
Mongolia has one of the strongest climate warming signals on Earth, and over 40% of the human population depends directly or indirectly on pastoral livestock production for their livelihoods. Thus, climate-driven changes in rangeland production will likely have a major effect on pastoral livelihoods. We examined patterns of climate change and rangeland(More)
operates about 700 automated snowpack telemetry (SNOTEL) measurement stations. These stations measure snow depth (SD), snow water equivalent (SWE), air temperature and precipitation. To assess how representative the stations are of the surrounding 1 km 2 area, a set of approximately 200 snow depth measurement were taken using ten 1000-m transects sampled at(More)
Accurate estimation of the spatial and temporal distribution of rainfall is a crucial input parameter for hydrologic model calibration and validation. The number of rain gauges used to monitor rainfall is generally inadequate to resolve the spatial and temporal distributions of rainfall over a watershed. Typically, spatial rainfall distributions have been(More)
Typically the grouping of station measuring snow properties is based on spatial proximity or has been restricted due to the temporal resolution, in particular the monthly sampling of snow course data. This investigation utilizes daily data from 216 snowpack telemetry (SNOTEL) stations located in and around the Colorado River Basin for a 15-year period(More)
In this study we geostatistically interpolate spatial Snow Water Equivalent (SWE) for the entire Colorado River using multiple interpolation methods and multiple combinations of the snow telemetry (SNOTEL) and snow-course data. This study evaluated four techniques: Inverse Distance Weighting (IDW), Optimal Distance Averaging (ODA), hypsometric (regression(More)