Filters: Tags: Hydrology (X) > partyWithName: GS ScienceBase (X)
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The hydrologic response units (HRUs) available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the HRUs is provided as a shapefile with attributes ParentHRU, Region, and RegionHRU identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Hydrologic response units (HRUs) were delineating using the processing steps outlined in Viger and Leavesley (2007) and a 5-meter digital elevation model (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Guam,
hydrology,
mathematical modeling
Freshwater mussels (Unionidae) are among the most imperiled groups of organisms in the world. Unionids are plagued with a lack of basic information regarding species distributions, life history characteristics, and ecological and biological requirements. We assessed the influence of hydrologic factors on the occurrence of the Suwannee Moccasinshell, Medionidus walkeri, a federally threatened freshwater mussel species endemic to the Suwannee River basin in Georgia and Florida. We also assessed the influence of survey effort on detection of M. walkeri during field surveys. All current (2013-2016) mussel survey records in the Suwannee River Basin were compiled, and cumulative discharge contributed by upstream springs...
Categories: Data;
Tags: Conservation,
Distribution,
Hydrology,
Ichetucknee River,
Imperiled species,
With increasing concerns about the impact of warming temperatures on water resources, more attention is being paid the relationship between runoff and precipitation, or runoff efficiency. Temperature is a key influence on Colorado River runoff efficiency, and warming temperatures are projected to reduce runoff efficiency. Here, we investigate the nature of runoff efficiency in the upper Colorado River (UCRB) basin over the past 400 years, with a specific focus on major droughts and pluvials, and to contextualize the instrumental period. We first verify the feasibility of reconstructing runoff efficiency from tree-ring data. The reconstruction is then used to evaluate variability in runoff efficiency over periods...
Categories: Data;
Tags: Climatology,
Climatology,
Colorado River,
Hydrology,
Lees Ferry (historical),
With increasing concerns about the impact of warming temperatures on water resources, more attention is being paid the relationship between runoff and precipitation, or runoff efficiency. Temperature is a key influence on Colorado River runoff efficiency, and warming temperatures are projected to reduce runoff efficiency. Here, we investigate the nature of runoff efficiency in the upper Colorado River (UCRB) basin over the past 400 years, with a specific focus on major droughts and pluvials, and to contextualize the instrumental period. We first verify the feasibility of reconstructing runoff efficiency from tree-ring data. The reconstruction is then used to evaluate variability in runoff efficiency over periods...
Categories: Data;
Tags: Climatology,
Climatology,
Colorado River,
Hydrology,
Lees Ferry (historical),
Digital flood-inundation maps for a 7.5-mile reach of the White River at Noblesville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the White River at Noblesville, Ind., streamgage (USGS station number 03349000). Real-time stages at this streamgage may be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/nwis or the National Weather Service...
Categories: Data;
Types: Citation;
Tags: City of Noblesville,
Indiana,
Noblesville,
United States,
White River,
This data release contains inputs and outputs needed to reproduce the findings for the publication: Rosa, S.N., and Hay, L.E., 2017, Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to Southern Guam: U.S. Geological Survey Scientific Investigations Report 2017-5093, 64 p., https://doi.org/10.3133/sir20175093. Data are provided in several files: 1) the PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files; 2) the FVR_2016 folder contains the input files needed to run...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Guam,
USGS Science Data Catalog (SDC),
Water Resources,
hydrology,
mathematical modeling
The stream segments available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the stream segments is provided as a shapefile with attributes ParentSeg, Region, and RegionSeg identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (in press) report. Stream segments were derived using the processing steps outlined in Viger and Leavesley (2007) describing drainage network processing and a 5-meter digital elevation map (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Guam,
hydrology,
mathematical modeling
This data release provides estimates of monthly wet atmospheric deposition of total inorganic nitrogen (TIN)--the summation of nitrate (NO3) and ammonium (NH4) ions--for the conterminous United States from 1999 through 2020 in units of kilograms nitrogen per square kilometer per month with spatial reference ESPG 4326. The spatial resolution of the gridded data provided in this release is approximately 5 km. The source data used to provide wet deposition estimates include monthly atmospheric concentration data interpolated between National Atmospheric Deposition Program (NADP, 2022) observation stations and monthly precipitation estimates from the National Oceanic and Atmospheric Administration's ClimGrid data (NOAA,...
Categories: Data;
Tags: Ammonium,
Ammonium,
Atmospheric Wet Deposition,
Atmospheric Wet Deposition,
Geochemistry,
Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the probable areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Flood-inundation mapping,
Little Falls,
New Jersey,
Passaic River,
Peckman River,
This child item contains fiber-optic distributed temperature sensing (FO-DTS) data collected along the streambed interface of two streams named Cement Creek and California Gulch Creek, as well as the Animas River, located near Silverton Colorado. The FO-DTS method utilizes the temperature-dependent backscatter of light pulses emitted along armored fiber-optic cables to evaluate temperature at discrete linear sampling locations. For these deployments a Salixa XT-DTS control unit (Salixa Ltd, Hertfordshire, UK) was used, and measurements were made over several day increments at 0.508 m linear resolution along the streambed interface. Specific locations for collected data are located within the data files, and additional...
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