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Water quality, quantity, and gas fluxes of the Upper Mississippi River basin (WY 2012-2016) This product consists of one tabular dataset and associated metadata of water quality information related to rivers, streams, and reservoirs in the Upper Mississippi River watershed between 2012 and 2016. This data release is a part of a national assessment of freshwater aquatic carbon fluxes. Data consist of organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen isotopes, cations, anions, trace metals, and various in situ measurements including: pH, water temperature, air temperature, barometric pressure, dissolved oxygen, turbidity, fluorescent dissolved organic matter, and specific conductance.... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carbon, Fluorescent Dissolved Organic Matter (fDOM), Minnesota, Shingobee, Shingobee Headwaters Aquatic Ecosystems Project, All tags... Shingobee River Headwaters Region, Surface Water Quality, USGS Science Data Catalog (SDC), Upper Mississippi River Basin, Upper Mississippi River Basin Project, WATER QUALITY/WATER CHEMISTRY, Wisconsin, air temperature, alkalinity, aluminum, ammonium, atmospheric carbon dioxide, atmospheric methane, barium, boron, calcium, carbon dioxide (water), carbon dioxide (water), carbon dioxide flux, carbon isotopes, chloride, deuterium, dissolved oxygen, fluorescence index, greenhouse gas flux, hydrophilic organic acid, hydrophobic organic acid, hydrophobic organic neutral, inorganic carbon, magnesium, manganese, methane flux, nitrate, organic carbon, oxygen isotopes, pH (water), potassium, silicon dioxide, sodium, specific conductance, strontium, sulfate, sulfur, total dissolved nitrogen, total iron, transphilic organic acid, turbidity, ultraviolet-visible absorbance, water quality, water temperature, Fewer tags Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations for the conterminous United States (ver 3.0, March 2023) This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent... Categories: Data, Data Release - Revised; Tags: Model evaluation, Streamflow prediction, USGS Science Data Catalog (SDC), conterminous United States, hydrology, All tags... inlandWaters, statistical analysis, streamflow, 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 Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150 potential predictor variables (Miller and others, 2018). Calibration data used for the random forest model are available from (Foks and others, 2020). Each model was run twice, first using all potential predictor variables, which represents a "full" model run, and a second time using the top 20 predictors from the original run, which... Categories: Data; Tags: Delaware, Delaware River Basin, Hydrology, National Hydrography Dataset Plus Version 2.0, New Jersey, All tags... New York, Pennsylvania, USGS Science Data Catalog (SDC), anthropogenic modification, baseflow, environmental impacts, geochemistry, geoscientificInformation, groundwater, hydrology, inlandWaters, natural flows, random forest modeling, random forests, river reaches, rivers/streams, streamflow, surface water hydrology, water resources, Fewer tags Geospatial Fabric for National Hydrologic Modeling, version 1.1 This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative... Categories: Data, Data Release - Revised; Tags: Canada, Geographic Information Systems, Hydrologic Response Units, Hydrologic modeling, Points of Interest, All tags... Routing Network, USGS Science Data Catalog (SDC), United States, geoscientificInformation, inlandWaters, Fewer tags National Hydrologic Model Alaska Domain parameter database, version 1 This data release contains input data for hydrologic simulations of the Alaska Domain application of the U.S. Geological Survey (USGS) Precipitation Runoff Modelling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The NHM Alaska Domain parameter database consists of 114 parameter files in ASCII format (CSV), two files needed to run the Alaska Domain PRMS (control.fy19deliverable and fy19_deliv.param), two xml files (dimensions.xml and parameters.xml) containing descriptive information about the parameters, and a table that defines each parameter (AK_paramDB_datadictionary.csv). The Entity and Attribute element of this metadata record describe the data... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Canada, Geography, Glaciology, Hydrology, All tags... Information Sciences, Land Use Change, Soil Sciences, USGS Science Data Catalog (SDC), Water Resources, climatologyMeteorologyAtmosphere, environment, imageryBaseMapsEarthCover, inlandWaters, Fewer tags Water quality and gas fluxes of Interior Alaska (2014-2018) This product consists of multiple tabular datasets and associated metadata of water quality information related to rivers, streams, and lakes in the Yukon River watershed between 2014 and 2018. This data release is apart of the National Aeronautics and Space Administration (NASA) funded Arctic-Boreal Vulnerability Experiment (ABoVE) and is an assessment of water quality and greenhouse gas fluxes within the interior of Alaska. Sampling frequency varied across locations, with some sites sampled twice a year or more. Data consist of: organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen and deuterium... Categories: Data; Types: Data, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Boot Lake, CH4, CO2, CO2 Bubble Trap, All tags... Canvasback Lake, Carbon, DIC, DOC, Dalton Highway, Datasets/Database, Interior Alaska, Steese Highway, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Yukon Flats, alkalinity, ammonium, anion, biogeochemical cycling, calcium, carbon dioxide, carbon flux, cation, chloride, deuterium, dissolved inorganic carbon, dissolved organic carbon, greenhouse gas flux, lake chemistry, magnesium, methane, nitrate, nitrogen, sodium, specific conductance, stream chemistry, sulfate, total dissolved nitrogen, total iron, water chemistry, water isotopes, water quality, water resources, Fewer tags GIS Features of the Geospatial Fabric for the National Hydrologic Model, version 1.1 The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb). Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Canada, Geographic Information Systems, Hydrologic Response Units, Hydrologic modeling, Points of Interest, All tags... Routing Network, United States, geoscientificInformation, inlandWaters, Fewer tags GIS Features of the Transboundary Geospatial Fabric (TGF) The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Canada, Geographic Information Systems, Hydrologic Response Unit, Hydrologic modeling, Points of Interest, All tags... Routing Network, United States, geoscientificInformation, inlandWaters, Fewer tags Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release... Categories: Data; Types: Citation, Data, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, ScienceBase Citation; Tags: National Hydrologic Model, Precipitation Runoff Modeling System, USGS Science Data Catalog (SDC), Water Quality, Water Resources, All tags... base flow, conterminous U.S., geoscientificInformation, hydrograph separation, optimal hydrograph separation, Fewer tags Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1 This data release contains a geospatial dataset for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) used to drive the National Hydrologic Model (NHM). The Alaska Geospatial Fabric v1 is the spatial representation of the hydrologic response units (HRUs) used for the PRMS NHM Alaska domain. These HRUs were generated using the twelve-digit Hydrologic Unit Code (HUC12) watershed from the U.S. Geological Survey's Watershed Boundary Dataset (USGS, 2019), the Natural Resources Canada National Hydrographic Network (NHN) Work Units (NHN, 2019), similar to USGS eight-digit HUC watersheds, and stream gage locations from the U.S. Geological Survey (USGS, 2019) and Natural Resources Canada (NHN, 2019).... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Canada, Geography, Hydrology, Remote Sensing, All tags... USGS Science Data Catalog (SDC), Water Resources, boundaries, geoscientificInformation, inlandWaters, Fewer tags Daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary for the years 1950 through 2015 This USGS data release contains daily-timestep and monthly-timestep estimates of baseflow at 49 reference stream gages located within 25 miles of the Delaware River basin watershed boundary. Estimates are provided for the available period of record of streamflow data at each site between 1950 and 2015. A two-parameter recursive digital filter was used to estimate baseflow at the selected stream gaging stations using U.S. Geological Survey Groundwater Toolbox (Barlow and others, 2017; Eckhardt, 2005). References cited: Barlow, P.M., Cunningham, W.L., Zhai, T., and Gray, M., 2017, U.S. Geological Survey Groundwater Toolbox version 1.3.1, a graphical and mapping interface for analysis of hydrologic data: U.S. Geological... Tags: Delaware, Delaware River basin, Hydrology, New Jersey, New York, All tags... Pennsylvania, USGS Science Data Catalog (SDC), Water Quality, Water Resources, baseflow, estuary, hydrology, river reaches, streamflow, water resources, watershed, Fewer tags Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous United States (ver 3.0, March 2023) This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent... Categories: Data, Data Release - Revised; Tags: Model evaluation, Streamflow prediction, USGS Science Data Catalog (SDC), conterminous United States, hydrology, All tags... inlandWaters, statistical analysis, streamflow, 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