East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020
Abstract
Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area supported by the U.S Department of Energy in the East River, CO Hydrologic Unit Code (140200010) with limited data also collected in adjacent watersheds Ohio Creek and Taylor River. Data are provided in csv and includes isotopic information for precipitation (years 2014-2016), snowmelt (years 2016-2017) and snowpits (years 2016-2020). Snowpit data contain depth resolved information at 10 cm intervals for density, snow water equivalent (SWE) and stable water isotopes. Bulk isotopic data for 86 snowpits contain depth, SWE, density and SWE-weighted isotope values. Sampling locations and elevations are provided within the data files, while kmz files are provided to view sampling locations using Google Earth software.
- Authors:
-
- Desert Research Institute; Desert Research Institute
- Bugs Unlimited, LLC
- Lawrence Berkeley National Laboratory
- Publication Date:
- Other Number(s):
- paf_705_738
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; GIS/Map; Isotopes; Snow Depth/Snow Density; mountain hydrology; rain; snow; snowmelt; stable water isotopes
- OSTI Identifier:
- 1824223
- DOI:
- https://doi.org/10.15485/1824223
Citation Formats
Carroll, Rosemary, Brown, Wendy, Newman, Alexander, Buetler, Curtis, and Williams, Kenneth. East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020. United States: N. p., 2021.
Web. doi:10.15485/1824223.
Carroll, Rosemary, Brown, Wendy, Newman, Alexander, Buetler, Curtis, & Williams, Kenneth. East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020. United States. doi:https://doi.org/10.15485/1824223
Carroll, Rosemary, Brown, Wendy, Newman, Alexander, Buetler, Curtis, and Williams, Kenneth. 2021.
"East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020". United States. doi:https://doi.org/10.15485/1824223. https://www.osti.gov/servlets/purl/1824223. Pub date:Fri Jan 01 04:00:00 UTC 2021
@article{osti_1824223,
title = {East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020},
author = {Carroll, Rosemary and Brown, Wendy and Newman, Alexander and Buetler, Curtis and Williams, Kenneth},
abstractNote = {Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area supported by the U.S Department of Energy in the East River, CO Hydrologic Unit Code (140200010) with limited data also collected in adjacent watersheds Ohio Creek and Taylor River. Data are provided in csv and includes isotopic information for precipitation (years 2014-2016), snowmelt (years 2016-2017) and snowpits (years 2016-2020). Snowpit data contain depth resolved information at 10 cm intervals for density, snow water equivalent (SWE) and stable water isotopes. Bulk isotopic data for 86 snowpits contain depth, SWE, density and SWE-weighted isotope values. Sampling locations and elevations are provided within the data files, while kmz files are provided to view sampling locations using Google Earth software.},
doi = {10.15485/1824223},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 04:00:00 UTC 2021},
month = {Fri Jan 01 04:00:00 UTC 2021}
}
