375 results — topic: Snow & Ice

Dataset

Post survey report for AOP Assignable Asset collection of Crested Butte, CO

This report contains details of the National Ecological Observatory Network Airborne Observation Platform (NEON AOP) assignable asset (AA) flight over Crested Butte, Colorado (CO). The report is being prepared for Lawrence Berkeley National Lab (LBNL), the primary clients for the flights who contrac

Tristan Goulden, John Musinsky2020DOI: 10.15485/1617202
Dataset

Post survey report for AOP Assignable Asset collection of Crested Butte, CO

This report contains details of the National Ecological Observatory Network Airborne Observation Platform (NEON AOP) assignable asset (AA) flight over Crested Butte, Colorado (CO). The report is being prepared for Lawrence Berkeley National Lab (LBNL), the primary clients for the flights who contrac

Tristan Goulden, John Musinsky2020DOI: 10.15485/1617202
Dataset

Conifer water use patterns in the East River Watershed, Colorado US, based on stable water isotopes and cellulose isotopes

This data package contains a series of datasets aimed at understanding the seasonal origins of water used by the dominant conifer species, Abies lasiocarpa and Picea engelmannii, in the East River Watershed. There is a distinct difference in the stable isotopic ratio of summer rain and snowpack and

Max Berkelhammer, Francois Ritter, Kenneth Williams2020DOI: 10.15485/1596123
Dataset

Conifer water use patterns in the East River Watershed, Colorado US, based on stable water isotopes and cellulose isotopes

This data package contains a series of datasets aimed at understanding the seasonal origins of water used by the dominant conifer species, Abies lasiocarpa and Picea engelmannii, in the East River Watershed. There is a distinct difference in the stable isotopic ratio of summer rain and snowpack and

Max Berkelhammer, Francois Ritter, Kenneth Williams2020DOI: 10.15485/1596123
Dataset

Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019

The data package contains model input and output file for the East River watershed (85 km2) located in the headwaters of the Colorado River. The model is the U.S. Geological Survey (USGS) Precipitation-Modeling Runoff System (PRMS) for the historical, or baseline, condition (1987-2019) to assess the

Rosemary Carroll, Kenneth Williams, David Gochis2020DOI: 10.15485/1691511
Dataset

The Importance of Interflow to Groundwater Recharge in a Snowmelt-Dominated, Alpine Watershed, Geophysical Research Letters: Modeling and Data Package

This data package contains hydrologic modeling input and output files for the East River (ER_PRMS.zip) and Copper Creek (CC_GSFLOW.zip) for water years 1987 to 2018. These data were used to generate simulated results published in Geophysical Research Letters (Carroll et al., 2019) describing the imp

Rosemary Carroll, Jeffrey Deems, Richard Niswonger2020DOI: 10.21952/WTR/1508390
Dataset

Kinetics Data of Iron(II), Manganese(II), Dissolved Organic Carbon and Nitrate from Batch Incubation Experiments Using Hyporheic Sediments from the East River Watershed, Colorado.

Hyporheic zones act as critical ecological links between terrestrial and aquatic systems where redox-sensitive metals of iron (Fe) and manganese (Mn) significantly impact nutrient cycling and water quality. In order to understand the production, release and speciation of Fe(II) and Mn(II) in groundw

Wenming Dong, Patricia Fox, Amrita Bhattacharyya2020DOI: 10.15485/1659482
Dataset

Kinetics Data of Iron(II), Manganese(II), Dissolved Organic Carbon and Nitrate from Batch Incubation Experiments Using Hyporheic Sediments from the East River Watershed, Colorado.

Hyporheic zones act as critical ecological links between terrestrial and aquatic systems where redox-sensitive metals of iron (Fe) and manganese (Mn) significantly impact nutrient cycling and water quality. In order to understand the production, release and speciation of Fe(II) and Mn(II) in groundw

Wenming Dong, Patricia Fox, Amrita Bhattacharyya2020DOI: 10.15485/1659482
Dataset

Kinetics Data of Iron(II), Manganese(II), Dissolved Organic Carbon and Nitrate from Batch Incubation Experiments Using Hyporheic Sediments from the East River Watershed, Colorado.

Hyporheic zones act as critical ecological links between terrestrial and aquatic systems where redox-sensitive metals of iron (Fe) and manganese (Mn) significantly impact nutrient cycling and water quality. In order to understand the production, release and speciation of Fe(II) and Mn(II) in groundw

Wenming Dong, Patricia Fox, Amrita Bhattacharyya2020DOI: 10.15485/1659482
Dataset

Life histories of the perennial geophyte Erythronium grandiflorum (Liliaceae) in Colorado subalpine transplant garden from annual measurements, 1991 onward

In an outdoor garden at Irwin, Colorado, we established glacier lily plants in open-bottomed PVC pots that protected them from gopher attack. The initial cohorts were excavated from field sites as mature corms of unknown age. Later cohorts were grown from seed, so their ages are known. Each spring s

Thomson, J.D2020DOI: 10.6073/pasta/4c9562dffeba0ac581e9314adf94590f
Dataset

Basic High-resolution Landcover Map for the Upper East River Domain

This is a landcover map derived from the 2018 NEON AOP dataset for the upper east river. 1=needle-leaf trees and shrubs 2=deciduous trees and shrubs 3=deciduous meadow and subshrub ( 0.5m) 4=bare rock, soil, gravel and asphalt 5=water 6=snow 7=buildings Source data includes NEON LiDAR and imaging sp

Ian Breckheimer2020
Dataset

Quality-controlled and Gap-filled 1m Digital Elevation Model for the Upper East River Domain

This is a bare-earth digital elevation model from the 2018 NEON AOP dataset. Areas outside the boundaries of the Upper East River domain were filled with data interpolated from the 3m 2018 Airborne Snow Observatory DEM. The ASO DEM was harmonized with the NEON DEM and filtered to remove small pits a

Ian Breckheimer2020
Dataset

Conifer water use patterns in the East River Watershed, Colorado US, based on stable water isotopes and cellulose isotopes. Space and Time Dynamics of Transpiration in the East River Watershed: Biotic and Abiotic Controls

This data package contains a series of datasets aimed at understanding the seasonal origins of water used by the dominant conifer species, Abies lasiocarpa and Picea engelmannii, in the East River Watershed. There is a distinct difference in the stable isotopic ratio of summer rain and snowpack and

Berkelhammer M, Ritter F, Williams K2020
Dataset

Sub-Basin Delineation for the Upper East River, Colorado, United States

Upper East sub-basins are delineated as area contributing flow to SFA 2016 stream gage locations. Shapefile attributes include sub-basin ID, name, area (m2 and km2) and codes for spatial contributions to EBC and PH used by Carroll et al. (2018). Geospatial reference is UTM 1983 zone 13. JPEG image p

Carroll R, Bill M, Dong W2020DOI: 10.21952/WTR/1508403
Dataset

LiDAR collection in August 2015 over the East River Watershed, Colorado, USA

Airborne LiDAR data were acquired over the East River Watershed on June 8, 2015 to August 10, 2015. The area covered was approximately 4933 square kilometers with an average point density of 10-12 points per square meter to comply with USGS's QL1 standard. Additional products include the LiDAR point

Haruko Wainwright, Kenneth Williams2020DOI: 10.21952/WTR/1412542Cited 6 times
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

David Shean2019DOI: 10.5281/zenodo.3381653
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

Shean, David2019DOI: 10.5281/zenodo.3381653
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

Shean, David2019DOI: 10.5281/zenodo.3381652
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

David Shean2019DOI: 10.5281/zenodo.3381653
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

Shean, David2019DOI: 10.5281/zenodo.3381653