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In this study we identify the physiographic and snowpack conditions currently represented by snowpack telemetry (SNOTEL) stations in the Rio Grande headwaters. Based on 8 years of advanced very high-resolution radiometer data (1995–2002) a snow cover persistence index was derived. Snow cover persistence values at the seven SNOTEL sites ranged from 3·9 to 4·75, with an average 14% greater than the mean persistence of the watershed. Using elevation, western barrier distance, and vegetation density, a 32-node binary classification tree model explained 75% of the variability in average snow cover persistence. Terrain classes encompassing the Lily Pond, Middle Creek, and Slumgullion SNOTEL sites represented 4·1%,...
Inverse weighted distance and regression nonexact techniques were evaluated for interpolating methods snow water equivalent (SWE) across the entire Colorado River Basin of the western United States. A 1-km spacing was used for the gridding of snow telemetry (SNOTEL) measurements for the years 1993, 1998, and 1999, which on average, represented higher than average, average, and lower than average snow years. Because of the terrain effects, the regression techniques (hypsometric elevation and multivariate physiographic parameter) were found to be superior to the weighted distance approaches (inverse distance weighting squared, and optimal power inverse distance weighting). A regression detrended inverse weighted distance...
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UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
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This map shows the hydrologic features, vegetation departure, current/future landscape intactness, current/future change agents, potential for change, impaired waters, average snow depth, wells, aquifers, snow melt, discharge, and active groundwater level of Hydrological Systems in the study area. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users...
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2014GL062803/abstract): Observations from the main mountain climate station network in the western United States (U.S.) suggest that higher elevations are warming faster than lower elevations. This has led to the assumption that elevation-dependent warming is prevalent throughout the region with impacts to water resources and ecosystem services. Here we critically evaluate this network's temperature observations and show that extreme warming observed at higher elevations is the result of systematic artifacts and not climatic conditions. With artifacts removed, the network's 1991–2012 minimum temperature trend decreases from +1.16°C decade−1 to +0.106°C decade−1...
"Motivation": The motivation for this briefing is to examine the large inhomogeneity (step shift) in the observed temperature record at the SNOw TELemetry (SNOTEL) stations in the Intermountain West—Colorado, Utah and Wyoming—and its implications for climate, hydrology and ecological research in the region. This issue impacts the entire SNOTEL network across the 11 Western states, as demonstrated by Jared Oyler of the University of Montana and his colleagues in Oyler et al. (2015). Here we build on that work by performing finer-grained analyses, and identifying the implications for climate studies that have incorporated SNOTEL temperature data. In doing so, we intend to promote a broader awareness of this issue...
    map background search result map search result map Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 BLM REA SLV 2013 Hydrologic Systems Assessment Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 BLM REA SLV 2013 Hydrologic Systems Assessment