521 results — topic: Snow & Ice

Dataset

Hyporheic, Floodplain, and Surface Water (on Floodplain and River) Geochemical Datasets, and Shapefiles on Meander C at the East River, Colorado.

The purpose of this dataset was to sample surface water and groundwater geochemistry at random locations in the East River, Colorado to provide a broad spatial dataset of geochemistry. The East River is part of the Watershed Function Scientific Focus Area (WFSFA) located in the Upper Colorado River

Newcomer M, Raberg J, Dwivedi D2021DOI: 10.15485/1647038
Dataset

Total Dissolved Nitrogen and Ammonia Data for the East River Watershed, Colorado (2015-2022)

This data package contains mean values for total dissolved nitrogen (TDN) and ammonia concentrations for water samples taken from the East River Watershed in Colorado. The East River is part of the Watershed Function Scientific Focus Area (WFSFA) located in the Upper Colorado River Basin, United Sta

Dong W, Beutler C, Bouskill N2021DOI: 10.15485/1660456
Dataset

1 m Resolution Basic Landcover Map for the Upper Gunnison Domain Derived from NAIP Imagery and LiDAR

This is 1 meter resolution landcover map developed for the RMBL Spatial Data Platform. Source datasets include 2017 and 2019 4-band imagery from the National Aerial Imagery Program, and 2019 LiDAR data collected by Quantum Geospatial for the Colorado Hazard Mapping Program. The numeric codes for the

Ian Breckheimer2021
Dataset

Snow Depth on April 7th 2019 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times
Dataset

Snow Depth on March 31st 2018 for Upper East River Derived from Airborne Snow Observatory Data

This is a 3m map of snow depth derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset has been clipped and resampled to the standard 3m SDP grid, and is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. N

Painter, T2021DOI: 10.5067/KIE9QNVG7HP0Cited 3 times
Dataset

Winter Travel Time from Crested Butte for the Upper East River Domain

This map represents the estimated on-road and off-road travel time in minutes from Crested Butte via the fastest travel means available (snowmobiles excluded). Estimates apply for winter (snow-on) conditions. This map was generated with the cost distance GRASS GIS module (r.cost) using estimated tra

Ian Breckheimer2021
Dataset

Summer Travel Time from Gothic for the Upper East River Domain

This map represents the estimated on-road and off-road travel time in minutes from Crested Butte via the fastest travel means available (snowmobiles excluded). Estimates apply for summer (snow-off) conditions after all roads have been opened to vehicle traffic. This map was generated with the cost d

Ian Breckheimer2021
Dataset

Styled 2019 snow depth basemap of the Upper East River domain

This is a styled basemap showing snow depth on April 7th 2019 derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset is derived directly from: Painter, T. 2019. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data Ce

Ian Breckheimer2021
Dataset

Styled 2018 snow depth basemap of the Upper East River domain

This is a styled basemap showing snow depth on March 31st, 2018 derived from repeat LiDAR data collection by the Airborne Snow Observatory. This dataset is derived directly from: Painter, T. 2018. ASO L4 Lidar Snow Depth 3m UTM Grid, Version 1. Boulder, Colorado USA. NASA National Snow and Ice Data

Ian Breckheimer2021
Dataset

Gap-filled meteorological data (2011-2020) and modeled potential evapotranspiration data from the KCOMTCRE2 WeatherUnderground weather station, from the East River Watershed, Colorado.

This dataset is a gap-filled meteorological dataset (years 2011-2020) that includes modeled potential evapotranspiration from a station near the pumphouse on the East River (KCOMTCRE2 WeatherUnderground ) near the top of the ridge at the Pumphouse PLM wells. These datasets are useful as model inputs

Michelle Newcomer, David Brian Rogers2021DOI: 10.15485/1734790Cited 1 times
Dataset

Chemical and geophysical data collected along Oh-be-joyful Creek, Gunnison National Forest, Colorado

As part of their Watershed Function Scientific Focus Area (SFA), Berkeley Lab and its collaborating institutions (e.g., USGS) have established a "Community Watershed" in the headwaters of the East River near Crested Butte, Colorado (USA), designed to quantify processes impacting the ability of mount

Martin Briggs2021DOI: 10.5066/F71Z42NFCited 2 times
Dataset

Snowmelt Timing Maps Derived from MODIS for North America, Version 2, 2001-2018

This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection

O'Leary III, D., Hall, D.K., Medler, M.2020DOI: 10.3334/ornldaac/1712
Dataset

Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4

This dataset provides Daymet Version 4 data as gridded estimates of daily weather parameters for North America, Hawaii, and Puerto Rico. Daymet variables include the following parameters: minimum temperature, maximum temperature, precipitation, shortwave radiation, vapor pressure, snow water equival

Thornton, M.M., Shrestha, R., Wei, Y.2020DOI: 10.3334/ornldaac/1840Cited 10 times
Dataset

Contiguous U.S. annual snow persistence and trends from 2001-2020

Snow persistence (SP) or the snow cover index (SCI), is the fraction of time that snow is present on the ground for a defined period. Cloud covered index (CCI) is the fraction of time that there is no data, cloud, or sensor saturation for the same period. SP and CCI were calculated on a pixel by pix

Hammond, John C2020DOI: 10.5066/p9u7u5fpCited 1 times
Student Paper

Experimental examination of early snowmelt-induced water stress in Helianthella quinquenervis: effects on demographic vital rates

Anderson A.2014
Thesis

Patterns of natural avalanche activity associated with new snow water equivalance and upper atmospheric wind direction and speed in the mountains surrounding Gothic, Colorado

Snowfall, temperature and wind are three factors that quickly change avalanche conditions. Ridge-top winds have been used to assess avalanche conditions with mixed success due to high variability. Few analyses have tested the effect upper atmospheric winds have on avalanche conditions. This study at

Chesley-Preston Tara Lea.2013Montana State University ScholarWorks (Montana State University)
Chapter

Phenology: An Integrative Environmental Science

Inouye D. W., Wielgolaski F. E.2013
Article

Climate change and the conservation of marmots

Conservation of marmots, large ground-dwelling squirrels restricted to the northern hemisphere, was impacted by direct human activity through hunting or modifying ecosystem dynamics. Regulating human activities reduced the threat of extinction. Climate change, an indirect human impact, threatens mar

Armitage K. B.2013Natural ScienceDOI: 10.4236/ns.2013.55a005Cited 56 times
Student Paper

Real and experimental ecosystem warming: interacting effects on snowmelt, plant community composition and carbon storage in a Rocky Mountain subalpine meadow

A 22 year warming experiment at Rocky Mountain Biological Laboratory has elucidated short term (15 year) responses in plant community and soil organic carbon to artificial warming. This summer’s research evaluates long-term (>15 year) changes and, because of recent climate change effects, the releva

Levy C. R.2012