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Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
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This data release contains historical SnowModel (Liston and Elder, 2006) output for the Crown of the Continent and surrounding areas in Montana and Idaho, USA; and Alberta and British Columbia, Canada from September 1, 1981 through August 31, 2020. Fifteen daily variables were simulated or derived for this release: (1) snow water equivalent (swed), (2) liquid precipitation (rpre), (3) solid precipitation (spre), (4) albedo (albd), (5) glacial ice melt (glmt), (6) total precipitation (prec), (7) runoff (roff), (8) snow covered area (sca), (9) snow density (sden), (10) snowmelt (smlt), (11) snow depth (snod), (12) snow sublimation (ssub), (13) air temperature (tair), (14) wind speed (wspd), and (15) wind direction...
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To determine minimum coverage of perennial snow and ice cover for Glacier National Park, the minimum extent of glaciers and multi-year snow features were digitized from satellite imagery (10-meter NAPP 2003, NAIP 2005, and NAIP 2013, and 30-cm resolution, multispectral, pansharpened Digital Globe WorldView satellite imagery collected in late summer and fall 2015). Features were digitized in ArcGIS version 10.2 using a Wacom Intuos 4 digitizing tablet. Snow and ice features were classified as glacier, large ice mass, or perennial snow/ice. Glaciers were based on current, named glaciers. Remnant ice features not large enough to be classified as glaciers, but showing evidence of crevasses, were classified as large...
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The dataset “Glacier_National_Park_alpine_stream_sampling_watersheds,_2011-2013.shp” is a GIS shapefile of the drainage areas of each of the 129 alpine and glacial aquatic macroinvertebrate collection sites included in an analysis to test the prediction that glacier retreat reduces biodiversity in mountain ecosystems through the loss of uniquely adapted meltwater stream species in Glacier National Park, USA. In conjunction with the dataset “Minimum snow and ice coverage for GNP, 2003-2015”, this dataset was used to calculate the proportion of contemporary ice and snow coverage for each watershed drainage area.
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Abstract: We present an inverse modeling approach for reconstructing the effective thermal conductivity of snow on a daily basis using air temperature, ground temperature and snow depth measurements. The method is applied to four sites in Alaska. To validate the method we used measured snow densities and snow water equivalents. The modeled thermal conductivities of snow for the two interior Alaska sites have relatively low values and reach their maximum near the end of the snow season, while the conductivities at the two sites on the Alaskan North Slope are higher and reach their maximum earlier in the snow season. We show that the reconstructed daily thermal conductivities allow for more accurate modeling of ground...
The application of two management strategies were tested across nine, Class III, wetland catchments located at the Woodworth Study Area (Stutsman County, ND). This field study took place during 2014 and 2015. 2014 was a pre-treatment year and snow measurements were taken in all experimental catchments in the late February 2015, before treatments were applied. Temporary electric fences were installed surrounding each wetland catchment to exclude them from grazing that took place on the management unit in 2015. All the catchments had been managed in a similar manner since purchased by USFWS in 1964. The primary management strategy of the wetland catchments from 1964–2013 was non-use with occasional prescribed burning....
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The polygons in this shapefile accompany the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions,” by Sadinski et al. (submitted). The paper describes relations between climate dynamics and key ecological conditions and processes on wetland-upland landscapes in > 30 sites distributed across four study areas in the midwestern United States. The variables studied included both ground- and satellite-based measures. The polygons in this shapefile pertain to the latter and provide the boundaries of 4-km2 blocks that subsume the field sites and provide a landscape perspective for the...
    map background search result map search result map The Effect of Snow: How to Better Model Ground Surface Temperatures Minimum snow and ice coverage for GNP, 2003-2015 Glacier National Park alpine stream sampling watersheds, 2011-2013 Vegetation and snow depth measurements in grasslands under grazing, burning, and snow fence management near Woodworth, North Dakota (2014-2016) Boundaries of landscape block polygons analyzed for the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions” NGWOS Ground Based Discrete Snowpack Measurements HUC12-Monthly Summaries Vegetation and snow depth measurements in grasslands under grazing, burning, and snow fence management near Woodworth, North Dakota (2014-2016) The Effect of Snow: How to Better Model Ground Surface Temperatures Glacier National Park alpine stream sampling watersheds, 2011-2013 Minimum snow and ice coverage for GNP, 2003-2015 NGWOS Ground Based Discrete Snowpack Measurements HUC12-Monthly Summaries Boundaries of landscape block polygons analyzed for the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions”