Filters: Tags: {"scheme":"ISO 19115 Topic Category"} (X) > partyWithName: Jeffrey W Riley (X)
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The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway 4.5 for simulating potential future streamflow for the period 2006 - 2100.
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with dynamic land cover. The parameters that were allowed to vary were related to dominant land cover type, percent impervious area, and precipitation interception by the plant canopy and snowpack.The PRMS parameters describing vegetation and impervious area were derived from annual estimates of land cover to incorporate...
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains a suite of 52 streamflow metrics. These metrics were computed using daily outputs of runoff from HRUs (PRMS variable hru_outflow) and streamflow from the model stream segments (PRMS variable seg_outflow) for all historical and future simulations (table1_GCMs_used.csv) with both static and dynamic land cover parameters. These streamflow statistics describe the duration, frequency, magnitude, rate of change, and...
Categories: Data;
Tags: United States,
air temperature,
inlandWaters,
model,
precipitation (atmospheric),
This dataset contains the approximate location of 59 wetlands that were monitored as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). Note, these were preliminary points used for locating the wetlands in the field and they may not fall directly within a wetlands boundary. The later surveying of pond boundaries provides more accurate locations. These point locations were collected with a Garmin GPSmap62 unit. The mention of firm, product, or trade names is done so for informative purposes only and does not constitute and recommendation or endorsement by the federal government.
Categories: Data;
Types: Citation;
Tags: Florida,
Geographically isolated wetlands,
Saint Marks National Wildlife Refuge,
Wakulla,
hydroperiod,
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway 8.5 for simulating potential future streamflow for the period 2006 - 2100.
This dataset contains boundary polygons from 59 wetlands, that were monitored as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI) from Saint Marks National Wildlife Refuge (SMNWR). These sites covered a range of sizes, shapes, topographic and vegetative characteristics that were deemed to be representative of wetlands within the study area. Ground-based surveys of wetland perimeters were made using a Trimble R8 Real Time Kinematic Global Positioning System (RTK-GPS). Surveys generally followed the lowest extent of saw palmetto (Serenoa repens), which is a reliable indicator of the upper limits (elevation) of sustained inundation. In instances where palmetto was absent,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Florida,
Geographically isolated wetlands,
Saint Marks National Wildlife Refuge,
Wakulla,
depressional wetlands,
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains the spatial model features (hydrologic response units [HRU_subset.zip] and stream segments [Segments_subset.zip]) on which model inputs and outputs are based. The assembly of model-ready files results in HRU and segment IDs that are different than those in the NHMI database. Two "crosswalk files" (nhm_hru_id_crosswalk.csv, nhm_segment_id_crosswalk.csv) are provided so that the model inputs and outputs can be mapped...
Categories: Data;
Tags: United States,
air temperature,
inlandWaters,
model,
precipitation (atmospheric),
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 (https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and the USGS National Hydrologic Model Infrastructure (NHMI, Regan and others, 2018). These simulations were developed to provide estimates of the water budget and statistics of streamflow for historical and potential future conditions using atmospheric forcing data from Coupled Model Intercomparison Project phase 5 (CMIP5). Specific file types include: 1) input forcings of minimum air temperature, maximum air temperature, and daily precipitation derived...
Categories: Data;
Tags: Climatology,
Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
United States,
This dataset contains records of water level and water temperature measurements from select wetlands at Saint Marks National Wildlife Refuge. These data were collected as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). Beginning in July 2010, hydrologic monitoring equipment was installed in 24 wetlands. Instrumentation included a staff gage and a non-vented continuous logging pressure transducer (Onset Comp U20) that logged data at 1-hour intervals. An additional 35 sites were instrumented in January 2014. Data for individual wetlands covers different time periods based on different phases of studies and sensor battery failures. In shallow, ephemeral wetlands these...
Categories: Data;
Types: Citation;
Tags: Florida,
Geographically isolated wetlands,
Saint Marks National Wildlife Refuge,
Wakulla,
hydroperiod,
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway (RCP) 2.6 for simulating potential future streamflow for the period 2006 - 2100.
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, for simulating historical streamflow for the period 1950 - 2005.
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway (RCP) 6.0 for simulating potential future streamflow for the period 2006 - 2100.
The data herein were collected in support of a larger study in Gwinnett County, Georgia, on the potential impacts of on-site waste water treatment (septic systems) on Lake Lanier water quality. Until recently, a missing component in this assessment was the inclusion of historical sediment and associated nutrient accumulation data from the lake to place results in a broader context. To this end, the USGS collected sediment cores from ten locations that varied in water depth as well as proximity to residential areas with septic systems. Samples were collected using either a gravity corer or box corer depending on site conditions. Cores were sub-sampled and processed for laboratory analyses. Laboratory analyses were...
These data represent time-series of water table depth from nine monitoring wells, soil moisture from three depths at a single monitoring location, and meteorological data from a weather station at the Panola Mountain Research Watershed (PMRW) in Rockdale County Georgia. Water-level data were logged at a 5 minute interval. In total, the data span from April 2017 to April 2020 but some wells did not get instrumented with pressure transducers until May 2018 so there are some minor differences in record length. Soil moisture spans from April 2017 to October 2019 and data is presented as hourly average volumetric water content at each depth. Meteorological data spans from April 2017 to October 2019 and is presented as...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Forestry,
Georgia,
Hydrology,
Panola Mountain,
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with static land cover. Simulations were conducted for each of the global circulation model (GCMs) and relative concentration pathway (RCP) presented in table1_GCMs_used.csv.
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