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Annie L Putman

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This data release includes SnowModel output for three headwater study areas in Colorado at seven spatial resolutions and from two forcing datasets over a 40-year period from water year 1980 to 2019. The resolutions include 30 m, 50 m, 100 m, 150 m, 250 m, 500 m, and 1,000 m. The model was run with a 3-hour temporal resolution from September 1, 1980 to August 31, 2019. Two meteorology forcing datasets were used, including National Land Data Assimilation System-2 at 1/8th degree (about 12 km) resolution data and the Weather Research and Forecasting model data at 4 km resolution. Output variables include snow-water equivalent depth (swed), runoff (roff), air temperature (tair), snow-covered area (sca), snow depth (snod),...
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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 loss. To get to these results, we used downscaled future and historical climate data from seven models to drive a new, calibrated SPAtially Referenced Regression On Watershed attributes (SPARROW) streamflow model (Wise and others, 2019, Miller and others, 2020). Temperature and precipitation data come from the NASA Earth Exchange...
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Each year the U.S. Environmental Protection Agency (EPA) reports permit, location, and discharge information for facilities across the United States and its territories through the Discharge Monitoring Report (DMR). Because these data are cataloged through a variety of systems, including self-reporting, there are discrepancies that may lead to incorrect spatial interpretation of content in the database. The processing of this quality assessed and modified dataset included steps to evaluate the accuracy and potential limitations of DMR data between 2007 and 2019. Attributes within this tabular dataset include facility and outfall locations as well as confidence ratings for those locations, and hydrologic unit code...
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These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from the Salt Lake Valley, Utah between 2018 and 2019. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to examine contributions of dust from the dry lakebed of Great Salt Lake, other regional playas, and anthropogenic sources to passive dust samplers deployed throughout the rapidly growing cities at the foot of the central Wasatch Mountains, referred to as the Wasatch Front. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City,...
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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 similarities and differences, in the form of p-values, provide useful information about important hydrologic processes. Significant p-values mean that the observed isotope ratio differs from the long-term average mass balance calculated isotope ratios and indicates that flows may be influenced by processes that are not accounted...
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