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Background Climate change during the past century has resulted in changes to precipitation amounts, form (rain vs. snow), as well as frequency and intensity in the northeastern US (Huntington et al., 2009). Additional changes in precipitation are forecast for the 21st Century as the global and regional climate is expected to warm substantially (Hayhoe et al., 2007). These ongoing and projected future changes in precipitation along with other related changes to evapotranspiration rates and land use patterns will result in changes in streamflow patterns as well (Hayhoe et al., 2007). Although precipitation amounts have generally increased in the Northeast during the past 20-30 years (Huntington et al., 2009),...
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This dataset was produced by the US Geological Survey as a supporting dataset to be used for the purpose of calculating stream gage basin characteristics in preparation for the South Carolina StreamStats application. This integer raster dataset represents runoff curve numbers for the combinations of hydrological soils groupings and land cover types within the South Carolina StreamStats study area. Soils data are from the USDA, NRCS SSURGO soils database and land cover data are USGS 2019 NLCD data. The dataset will be used in peak flow regression equations that are used to predict flow in South Carolina streams. The StreamStats application provides access to spatial analytical tools that are useful for water-resources...
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The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and...
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Summary: Extreme flooding can threaten life and property in flood-prone areas, as well as cause damage to critical infrastructure along roadways and canals. The effective management of these areas, and appropriate design of structures along rivers and streams, relies on understanding the magnitude and frequency of floods at gaged locations, and the ability to estimate these data at ungaged streams. Peak flow analysis and development of regional regression equations to estimate peak flow frequency and magnitude for New York have not been updated using any new data collected since 1999 (Lumia, 2006). As more data and newer technology have become available there is a need to update these data. The updated regression...
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Problem Surface-water information is needed for planning, design, hazard warning, and operation and management in water-related fields such as water supply, hydroelectric power, flood control, irrigation, bridge and culvert design, wildlife management, pollution abatement, flood-plain management, and water-resources development. Appropriate historical and real-time surface-water data, such as stream flow and stage, reservoir levels, and water temperature, are necessary to properly assess, manage and protect water resources. Objectives Collect timely and high quality surface-water data for (1) assessment of water resources; (2) operation of reservoirs or industries; (3) forecasting flow; (4) disposal of wastes...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate Impacts, Climate Impacts, Climate Research and Development, Climate impacts, Cooperative Water Program, All tags...
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The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the above-referenced report. This data release consists of two data sets, "NC SELDM streamflow statistics..." and "NC SELDM summary statistics for physical and chemical data...". The tables that are uploaded for the "NC SELDM streamflow statistics for 266 streamgages across North Carolina" sub-section are primarily the support files for the StreamStatsDB update that was completed when the report was approved. These files were generated using the GNWISQ and QSTATS computer programs developed and described by Granato (2009, appendices 1 and...
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The lakes, rivers, and streams of New York State provide an essential water resource for the State. The information provided by time series hydrologic data is essential to understanding ways to promote healthy instream ecology and to strengthen the scientific basis for sound water management decision making in New York. The U.S. Geological Survey, in cooperation with The Nature Conservancy and the New York State Energy Research and Development Authority, has developed the New York Streamflow Estimation Tool to estimate a daily mean hydrograph for the period from October 1, 1960, to September 30, 2010, at ungaged locations across the State. The New York Streamflow Estimation Tool produces a complete estimated daily...


    map background search result map search result map Surface-Water Data Collection in New York Development of a Graphical User Interface (GUI) to Predict Streamflow Statistics using USGS Streamstats and Precipitation from Downscaled Global Climate Change Models A New Tool for Estimating Daily Mean Streamflow Statistics at Rural Streams in New York State, excluding Long Island North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) streamflow statistics for 266 streamgages across North Carolina North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island Gridded South Carolina StreamStats Runoff Curve Numbers by NLCD Landcover and SSURGO Soils Class North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) streamflow statistics for 266 streamgages across North Carolina North Carolina (NC) Stochastic Empirical Loading and Dilution Model (SELDM) summary statistics for physical and chemical data at NC highway-runoff and bridge-deck sites Gridded South Carolina StreamStats Runoff Curve Numbers by NLCD Landcover and SSURGO Soils Class A New Tool for Estimating Daily Mean Streamflow Statistics at Rural Streams in New York State, excluding Long Island Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island Development of a Graphical User Interface (GUI) to Predict Streamflow Statistics using USGS Streamstats and Precipitation from Downscaled Global Climate Change Models Surface-Water Data Collection in New York