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

Abstract

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 efficiency of summer monsoon rains to generate streamflow. The finite difference grid resolution is 100 m with elevations resampled from the USGS National Elevation Dataset. LANDFIRE raster data is used to derive parameters of dominant cover type, summer and winter cover density, canopy interception characteristics for snow and rain and transmission coefficient for shortwave radiation. Climate forcing uses minimum and maximum daily temperature lapse rates defined by the two Snow Telemetry (SNOTEL) stations located in the vicinity of the East River adjusted for aspect. Schofield SNOTEL snowfall is spatially distributed using LiDAR derived snow depth observations from the Airborne Snow Observatory (ASO) flown 4 April 2016. Snow depths are converted to snow water equivalent based on ground surveys and density modeling. Rainfall is spatially distributed using the monthly Parameter-elevation Relationships on Independent Slopes Model 30-year monthly averages. Simulated solar radiation is calibrated to match weather station observations. Model verification of snow water equivalent (SWE)more » accumulation and ablation relies on the 2018 and 2019 ASO maps and weather station snow depth. The data package contains model input files in text format, model documentation in pfd and a readme.txt file to help users understand the file structure to run the program.« less

Authors:
ORCiD logo ; ORCiD logo ;
  1. Desert Research Institute
  2. Lawrence Berkeley National Laboratory
  3. University Corporation For Atmospheric Research (UCAR)
Publication Date:
Other Number(s):
paf_576
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Watershed Function SFA
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
Streamflow; Rain; Snowmelt; East River Watershed; Hydrologic model; Stream flow; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > FRESHWATER ECOSYSTEMS > RIVERS/STREAM
Geolocation:
39.034,-106.88|38.88,-106.88|38.88,-107.05|39.034,-107.05|39.034,-106.88
OSTI Identifier:
1691511
DOI:
https://doi.org/10.15485/1691511
Project Location:


Citation Formats

Carroll, Rosemary, Williams, Kenneth, and Gochis, David. Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019. United States: N. p., 2020. Web. doi:10.15485/1691511.
Carroll, Rosemary, Williams, Kenneth, & Gochis, David. Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019. United States. doi:https://doi.org/10.15485/1691511
Carroll, Rosemary, Williams, Kenneth, and Gochis, David. 2020. "Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019". United States. doi:https://doi.org/10.15485/1691511. https://www.osti.gov/servlets/purl/1691511. Pub date:Wed Jan 01 00:00:00 EST 2020
@article{osti_1691511,
title = {Hydrologic Model Files (PRMS) for Historical Conditions in the East River Watershed, Colorado between 1987-2019},
author = {Carroll, Rosemary and Williams, Kenneth and Gochis, David},
abstractNote = {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 efficiency of summer monsoon rains to generate streamflow. The finite difference grid resolution is 100 m with elevations resampled from the USGS National Elevation Dataset. LANDFIRE raster data is used to derive parameters of dominant cover type, summer and winter cover density, canopy interception characteristics for snow and rain and transmission coefficient for shortwave radiation. Climate forcing uses minimum and maximum daily temperature lapse rates defined by the two Snow Telemetry (SNOTEL) stations located in the vicinity of the East River adjusted for aspect. Schofield SNOTEL snowfall is spatially distributed using LiDAR derived snow depth observations from the Airborne Snow Observatory (ASO) flown 4 April 2016. Snow depths are converted to snow water equivalent based on ground surveys and density modeling. Rainfall is spatially distributed using the monthly Parameter-elevation Relationships on Independent Slopes Model 30-year monthly averages. Simulated solar radiation is calibrated to match weather station observations. Model verification of snow water equivalent (SWE) accumulation and ablation relies on the 2018 and 2019 ASO maps and weather station snow depth. The data package contains model input files in text format, model documentation in pfd and a readme.txt file to help users understand the file structure to run the program.},
doi = {10.15485/1691511},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}