154 results — topic: Data Science & Modeling

Dataset

Groundwater and Surface Water Flow (GSFLOW) model files for the East River, Colorado

The data package contains model input files and executables for the East River, Colorado (750 km2) located in the headwaters of the Upper Colorado River Basin. The code applied is the U.S. Geological Survey (USGS) Groundwater and Surface Water Flow (GSFLOW) model. The model contains a 100-m grid res

Rosemary Carroll, Richard Niswonger, Craig Ulrich2023DOI: 10.15485/1998576
Dataset

Dissolved Oxygen and Temperature Data from the Hyporheic Zone of the East River Watershed July 2017 to October 2018

Dissolved oxygen (DO) is critical for aquatic ecosystems. Our focus is on the long-term DO dynamics in hyporheic zone of rivers, which are a function of both transport (hydrologic exchange between river and hyporheic zone) and uptake by biogeochemical reactions or respiration. The study site is the

Ruby Ghosh, Charles McIntire, Michael Freeman2023DOI: 10.15485/1972219Cited 1 times
Dataset

Snowpack Persistence Day of Year Standard Deviation (1993-2022)

This dataset represents an estimate of interannual variability in the day of year (i.e., "Julian Day") of the persistence of the seasonal snowpack. Specifically these are estimates of the first day of bare ground derived from long-term time-series of Landsat, and OLI imagery starting in 1993. These

Ian Breckheimer2023
Dataset

Snowpack Persistence Day of Year Mean (1993 - 2022)

This dataset represents an estimate of the mean day of year (i.e., "Julian Day") of the persistence of the seasonal snowpack from 1993 - 2022. Specifically these are estimates of the first day of bare ground derived from long-term time-series of Landsat, and OLI imagery starting in 1993. These maps

Ian Breckheimer2023
Dataset

Snowpack Onset Day of Year Standard Deviation (1993-2022)

This dataset represents an estimate of interannual variability in the day of year (i.e., "Julian Day") of the onset of the seasonal snowpack. Specifically these are estimates of the last day of bare ground derived from long-term time-series of Landsat, and OLI imagery starting in 1993. To facilitate

Ian Breckheimer2023
Dataset

Snowpack Onset Day of Year Mean (1993 - 2022)

This dataset represents an estimate of the mean day of year (i.e., "Julian Day") of the onset of the seasonal snowpack. Specifically these are estimates of the last day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. To facilitate computation o

Ian Breckheimer2023
Dataset

Snowpack Duration Standard Deviation (Water Year 1993 - 2022)

This dataset represents an estimate of interannual variability in the number of days of continuous seasonal snowpack from 1993 - 2022. This map is derived from estimates of the first and last day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993.

Ian Breckheimer2023
Dataset

Snowpack Duration Mean (Water Year 1993 - 2022)

This dataset represents an estimate of the mean number of days of continuous seasonal snowpack from 1993 - 2022. This map is derived from estimates of the first and last day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. These maps combine mon

Ian Breckheimer2023
Dataset

Maximum 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Minimum 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Average 2m Air Temperature Monthly Timeseries

These are maps of monthly averages of daily average air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. These da

Ian Breckheimer2023
Dataset

Minimum 2m Air Temperature Daily Timeseries

These are maps of daily minimum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

Ian Breckheimer2023
Dataset

Maximum 2m Air Temperature Daily Timeseries

These are maps of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

Ian Breckheimer2023
Dataset

Snowpack Duration Yearly Timeseries

These maps represent annual estimates of the number of days of continuous seasonal snowpack from 1993 - 2022. The maps are derived from estimates of the first and last day of bare ground derived from long-term time-series of Landsat, and OLI imagery starting in 1993. Annual estimates represent the n

Ian Breckheimer2023
Dataset

Snowpack Onset Day of Year Yearly Timeseries

This dataset represents an estimate of the day of year (i.e. , "Julian Day") of the onset of the seasonal snowpack. Specifically these are estimates of the last day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. To facilitate computation of sn

Ian Breckheimer2023
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature and alkalinity in-situ data; Slate River floodplain, Crested Butte, CO; March 2021-October 2021.

This data package includes a time-series of field measurements from March to October 2021 in groundwater and surface water from the Slate River floodplain in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting

Pierce S, Bargar J2023DOI: 10.15485/1829500Cited 1 times
Dataset

Snowpack Persistence Day of Year Yearly Timeseries

This dataset represents an estimate of the day of year (i.e. , "Julian Day") of the persistence of the seasonal snowpack. Specifically these are estimates of the first day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. These maps combine month

Ian Breckheimer2023
Dataset

Groundwater level elevation and temperature data, Oct 2018-Dec 2021, Slate River Floodplain, Crested Butte, CO.

This data package includes a time series of water level and temperature measurements from October 2018 to December 2021 in groundwater and surface water from the Slate River floodplain outside Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was gener

Perzan Z, Pierce S, Boye K2023DOI: 10.15485/1908248Cited 1 times
Dataset

Model files for estimating snow dynamics and stable water isotopes across the East River, CO.

A coupled hydrologic and snowpack stable water isotope model is used to assesses controls on isotopic inputs across the East River, Colorado, a large, mountainous basin. The hydrologic model uses the semi-empirical, spatially distributed and publicly available U.S. Geological Survey numerical code P

Carroll R2023DOI: 10.15485/1889747
Dataset

ATS (Advanced Terrestrial Simulator) integrated hydrology and reactive transport model output in Copper Creek, Colorado.

This dataset is generated using the ATS (Advanced Terrestrial Simulator) model at Copper Creek, Colorado, the largest catchment in the East River watershed. ATS is an integrated hydrology and reactive transport model to simulate the Concentration-Discharge (C-Q) relationship, and is used to quantify

Zexuan Xu, Sergi Molins, Dipankar Dwivedi2023DOI: 10.15485/1877377