Data

We projected future streamflow outcomes arising from climate change for the southwestern United States during the 21st century due to climate change under two possible greenhouse gas concentration pathways (RCP4.5 and 8.5). The results inform water managers about the future risks of drought in their water resource regions by providing bounds on the possible locations and extents of streamflow

This data release contains the results of an isotopic mass balance approach to provide an estimate of the long-term average isotope ratios of NWM streamflow for the summer season (JJA) between 2000 and 2019 in the Western United States. The NWM-estimated long-term average isotope ratios are compared directly to 6426 stream stable isotope observations in 995 unique catchments. Quantified similariti

This dataset consists of summary data for potential landscape sources of per- and poly-fluoroalkyl substances (PFAS). These summary items include facilities from the Environmental Protection Agency (EPA) PFAS Analytics Tools, which were pulled from its Enforcement and Compliance History Online (ECHO), areas affected by fires (burned and urban burned areas) from Monitoring Trends in Burn Severity (

This data release is associated with the following Scientific Investigations Report: Root, J.C. and Jones, D.K., 2022, Elevation-area-capacity relationships of Lake Powell in 2018 and estimated loss of storage capacity since 1963: U.S. Geological Survey Scientific Investigations Report 2022-5017, 21 p., https://doi.org/10.3133/sir20225017. This dataset provides elevation-area-capacity relationshi

The Lake Powell Coring Project was a USGS research effort, in cooperation with the Utah Department of Environmental Quality, U.S. Bureau of Reclamation, and U.S. National Park Service. In the fall of 2018, hydraulic piston cores targeted sediment that had been deposited in Lake Powell. This large reservoir on the Colorado River in Utah and Arizona was created after the completion of Glen Canyon Da

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to estimate baseflow changes from historical (1984 - 2012) to thirty-year periods centered around 2030, 2050, and 2080 under warm/wet, median, and hot/dry climatic conditions. SPARROW is a spatially explicit hybrid statistical and process-based model that estimates mean baseflow ove

Stakeholder science needs were determined by reviewing more than 200 recently published literature items and web pages from Colorado River Basin (CRB) stakeholders. These stakeholder communications were used to characterize over 400 stakeholder science needs by reviewing their priorities, strategies, issues, missions, and concerns related to drought in the CRB. Members of the CRB Integrated Scienc

This dataset describes survey data collected for the Bureau of Reclamation (Reclamation), the agency in charge of regulating Colorado River water control operations impounding the Lake Powell reservoir. Additional intent of the collected data was to assure consistencies among gaging elevations at Glen Canyon Dam near Page, Arizona as well as verification and alignment of a recently published topob

This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that w

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Southwestern Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and envi

Spreadsheets of Tooele, Parowan, and Goshen Valley historical power consumption coefficients for active irrigation wells as of 2016 measured by U.S. Geological Survey, Utah Water Science Center, hydrologic technicians. The power consumption coefficients included in this data release were transcribed from paper format to electronic format. The coefficient of variation is included in this data set f

This USGS data release consists of three data sets used as the basis for estimates of groundwater discharge from evapotranspiration in Tule Valley and part of Sevier Valley, UT. The data sets are a mapped groundwater discharge area (GDA), a mean modified soil adjusted vegetation index (MSAVI), and evapotranspiration (ET) units derived from the MSAVI within the GDA. The GDA represents the area with