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Filters Date Range Past year (8) Past month (2) Past week (2) Past day (0) Custom range... To   Search Extensions Shapefile (1) Types Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) Downloadable (1) OGC WMS Service (1) Shapefile (1) Contacts William R Mcdermott U.S. Geological Survey - ScienceBase Water Resources Colorado Water Science Center Graham A Sexstone More... Categories Data (9) Tag Types Theme (10) Place (10) USGS Scientific Topic Keyword (6) Harvest Set (6) Science Themes (3) Organization (3) Science Tools For Managers (3) More... Tag Schemes None (6) GNIS (4) USGS Thesaurus (5) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) ISO 19115 Topic Category (2) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (3) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceToolsforManagers (3) More... View Results as: JSON ATOM CSV

NGWOS Ground Based Discrete Snowpack Measurements Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Colorado, Colorado River, Hydrology, Integrated Water Science, Rocky Mountains, All tags... USGS Science Data Catalog (SDC), Water Resources, snow, snow density, snow depth, snow pit, snow temperature, snow water equivalent, snowpack, Fewer tags Model input and output for hydrologic simulations in the Rio Grande Headwaters, Colorado, using the Precipitation-Runoff Modeling System (PRMS) The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate, 2) effects of bark-beetle induced tree mortality, and 3) effects of wildfire, on components of the hydrologic cycle and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. PRMS input files and select PRMS output variables for each simulation are contained in this data release to accompany the journal article. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Data Visualization & Tools, Hydrology, Rivers, Streams and Lakes, Science Tools For Managers, South Central CASC, All tags... USGS Science Data Catalog (SDC), Water Resources, Water, Coasts and Ice, Fewer tags Model input for Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate (see RGHW-PRMS_baseline_input.zip), 2) effects of bark-beetle induced tree mortality (see RGHW-PRMS_BB_input.zip), and 3) effects of wildfire (see RGHW-PRMS_fire_input.zip), on components of the hydrologic cycle by hydrologic response unit (HRU) and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. PRMS input files (control, climate-by-hru, data, parameter, dynamic... Categories: Data; Tags: Data Visualization & Tools, Del Norte, Rio Grande, Rivers, Streams and Lakes, Science Tools For Managers, All tags... South Central CASC, South Fork Rio Grande, Water, Coasts and Ice, streamflow modeling, water supply and demand, Fewer tags Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) A list of stream gages within the conterminous United States that will serve as the initial list of sites (version 1.0) used for streamflow benchmarking of hydrologic models. Sites within this list were chosen based on their presence in the GAGES-II dataset, their availability of modeled streamflow data from the most recent version of the National Hydrologic Model application of Precipitation-Runoff Modeling System v1.0, and their availability of modeled streamflow data from the most recent version of the NOAA National Water Model application of WRF-hydro version 2.1 retrospective dataset. Categories: Data; Tags: Climatology, Hydrology, Information Sciences, USGS Science Data Catalog (SDC), United States, All tags... Water Quality, Water Resources, field monitoring stations, inlandWaters, mathematical modeling, streamflow, Fewer tags Simulated growth potential of redband trout in the Donner und Blitzen River Basin, southeastern Oregon, using a bioenergetics model Growth potential of redband trout (Oncorhynchus mykiss newberri) was simulated across 175 river segments in the Donner und Blitzen River basin for water years 1980 through 2021 using a bioenergetics model. A previously published framework for assessing climate vulnerability of redband trout was used to simulate the growth potential of redband trout in relation to constraints on body size, physiological responses linked to variable thermal regimes, and variation in physiological adaptive capacity. For body size, three starting sizes of redband trout, 10 g, 50 g, and 150 g, were used for each day of the simulations. For thermal regimes, daily stream temperatures were estimated from PRISM. To account for variation... Categories: Data; Tags: Ankle Creek (GNIS ID: 1116958, Stream), Aquatic Biology, Donner und Blitzen River (GNIS ID: 1120027, Stream), Ecology, Fish Creek (GNIS ID: 1120761, Stream), All tags... Frenchglen (GNIS ID: 1136302, Populated Place), Indian Creek (GNIS ID: 1122212, Stream), Indian Spring Creek (GNIS ID: 1129761, Stream), Little Blitzen River (GNIS ID: 1123136, Stream), Mud Creek (GNIS ID: 1124445, Stream), Steens Mountain (GNIS ID: 1127571, Summit), USGS Science Data Catalog (SDC), Wildlife Biology, bioenergetics, biota, environment, ichthyology, mathematical modeling, Fewer tags Discrete Snow Depth Measurements in the Upper Colorado River Basin, 2020-22 Discrete snow depth data were collected during multiple winter campaigns during 2020–22. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation of snow dynamics and water resources. Snow depth was measured using either an avalanche probe and handheld global positioning system (GPS) unit or a snow depth probe with attached Juniper Systems Geode GPS receiver and a Mesa tablet. These data are released in a comma separated value file. Categories: Data; Tags: Colorado, Colorado River, Rocky Mountains, Snow Depth, Snow Probe, All tags... Snow Water Equivalent, Snowpack, Fewer tags Model output from Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017 The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate (see RGHW-PRMS_baseline_simulation.zip), 2) effects of bark-beetle induced tree mortality (see RGHW-PRMS_BB_simulation.zip), and 3) effects of wildfire (see RGHW-PRMS_fire_simulation.zip), on components of the hydrologic cycle by hydrologic response unit (HRU) and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. Select PRMS output variables for each simulation are... Categories: Data; Tags: Data Visualization & Tools, Del Norte, Rio Grande, Rivers, Streams and Lakes, Science Tools For Managers, All tags... South Central CASC, South Fork Rio Grande, Water, Coasts and Ice, streamflow modeling, water supply and demand, Fewer tags Simulated streamflow and stream temperature in the Donner und Blitzen River Basin, southeastern Oregon, using the Precipitation-Runoff Modeling System (PRMS) Streamflow and stream temperature in the Donner und Blitzen River Basin for water years 1980 through 2021 were simulated using the Precipitation-Runoff Modeling System (PRMS) with the "stream_temp" module. The model domain was discretized into 175 stream segments and calibrated to observed streamflow and stream temperature at points distributed throughout the basin. Model input files, including a PRMS control file, parameter file, and meteorological forcing files, are included in the Blitzen_PRMS_input.zip file. Select output variables for each hydrologic response unit (HRU), each stream segment, and PRMS basin summary outputs are included in the Blitzen_PRMS_output.zip file. Shapefiles of the model domain, model... Tags: Ankle Creek (GNIS ID: 1116958, Stream), Donner und Blitzen River (GNIS ID: 1120027, Stream), Fish Creek (GNIS ID: 1120761, Stream), Frenchglen (GNIS ID: 1136302, Populated Place), Hydrology, All tags... Indian Creek (GNIS ID: 1122212, Stream), Indian Spring Creek (GNIS ID: 1129761, Stream), Little Blitzen River (GNIS ID: 1123136, Stream), Mud Creek (GNIS ID: 1124445, Stream), Steens Mountain (GNIS ID: 1127571, Summit), USGS Science Data Catalog (SDC), droughts, mathematical modeling, streamflow, water temperature, Fewer tags Discrete Snowpack Measurements of Snow Density and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete snowpack data were collected during winter field campaigns from 2020 to 2022. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. After a snow pit was dug, the pit face was analyzed for discrete snowpack measurements. Measurements taken were mass, temperature, and total depth. Using the mass values taken with a density cutter, the snow density and snow water equivalent were calculated. These data are released in a comma separated value file. Categories: Data; Tags: Colorado, Colorado River, Rocky Mountains, Snow Density, Snow Depth, All tags... Snow Pit, Snow Temperature, Snow Water Equivalent, Snowpack, Fewer tags Discrete Snow Core Measurements of Snow Depth, Density, and Snow Water Equivalent in the Upper Colorado River Basin, 2020-22 Discrete snow data were collected during multiple winter field campaigns from 2021 to 2022. This data was collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) project focusing on the relation between snow dynamics and the water cycle of a basin. A Snow Water Equivalent (SWE) Coring Tube was used to measure snow depth and mass of snow within the core. These values were used to calculate snow density and snow water equivalent of the core. These data were released in a comma separated value file. Categories: Data; Tags: Colorado, Colorado River, Rocky Mountains, Snow Density, Snow Depth, All tags... Snow Temperature, Snow Water Equivalent, Snowpack, Fewer tags Daily streamflow performance benchmark defined by D-score (v0.1) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations (version 1) as defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow. Using those errors, the D-score performance benchmark computes the mean squared logarithmic error (MSLE), then decomposes the overall MSLE into orthogonal components such as bias, distribution, and sequence (Hodson and others, 2021). For easier interpretation,... Categories: Data; Tags: Data Release, Hydrology, Mean squared error, Model evaluation, Streamflow prediction, All tags... USGS Science Data Catalog (SDC), United States, Fewer tags