Filters: Types: OGC WMS Service (X) > partyWithName: Robert W Dudley (X)
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A comma separated values (csv) file of data used to support attribution of trends and change points in annual peak streamflows observed at gages in the Northeast region. The file includes USGS gage identification and location information, developed land cover and basin storage data, correlation results between annual peak magnitudes and precipitation and Palmer Drought Severity Index (PDSI), and trend and change point results for precipitation and PDSI.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
Coastal rivers draining into the Gulf of Maine are home to the endangered Gulf of Maine Distinct Population Segment of Atlantic salmon. The Gulf of Maine population began to decline significantly by the late 19th century, leading to the closure of the commercial Atlantic salmon fishery in 1948. In recent years, populations have again begun to decrease again. State and federal fisheries biologists are concerned that climate-related changes in streamflow and temperature could impact salmon survival in these rivers. Projections of future climate conditions for the Northeast indicate warming air temperatures, earlier snowmelt runoff, and decreases in streamflow during the low flow period (summer). In the spring, snow...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2008,
Atlantic Salmon,
CASC,
Climate change,
Completed,
The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit hydrologic unit watershed boundaries. Each of the regions made attributions for nonstationary annual peak-flow records using both monotonic trends and change point for 50 (1966-2015) and 75 (1941-2015) year trends. Each child page contains four supporting comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Hydrology,
Peak-flow,
Trends,
An expanding effort exists to estimate discharge of rivers utilizing remote sensing measurements. The goal of this investigation is to evaluate the uncertainty associated with estimating streamflow using remote sensing practices. This data release contains in-situ observations of river width, depth, velocity, and discharge from 30 U.S. Geological Survey (USGS) gaged study reaches (USGSGagedTestSiteMeasurements.csv) obtained from the USGS National Water Information System (NWIS) Surface Water Field Measurements to assess the uncertainty associated with estimating discharge using a modified Manning's equation model. The R code (CalibrationObservationsExp_sampleRandomDF.R) was used to randomly sample observations for...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC)
Uncertainty of satellite discharge estimates is affected by choice of satellite sensor, hydraulic variable for observation, and discharge estimation algorithm, as well as the availability of ground-calibration data. Site selection is very important for reducing error and uncertainty in both conventional and satellite-based discharge measurements because geomorphic river characteristics have strong control over the relationships between discharge and depth, width, slope, and velocity. A ground-truth data set of 8,445 conventional hydraulic measurements, collected by acoustic Doppler current profilers (ADCP) at 503 stations in the United States was developed to examine correlation between river discharge and river...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
HYDRoSWOT,
Hydrology,
NASA,
Remote Sensing,
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