Folders: ROOT > ScienceBase Catalog > USGS Dakota Water Science Center > Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015 ( Show all descendants )
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ROOT _ScienceBase Catalog __USGS Dakota Water Science Center ___Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015
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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
Upper Plains (UP) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
Pacific Northwest (PNW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the correct attribution.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
Southwest (SW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains comma separated value (csv) files to support the attribution of changes in peak streamflow in the southwestern U.S. to changes in precipitation, temperature, and timing of peak runoff. The peak streamflow is the maximum instantaneous flow during a water year from October 1st to September 30th of the next year. The dataset contains results for only the streamgages that were identified to have significant trends and change points for periods...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
California,
Colorado,
Datasets,
Flooding,
South Central (SC) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
Southeast (SE) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains four core comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change point, and 75-change point). Each of the four core csv files includes the USGS gage identifier, various statistical values, primary and secondary attribution, level of evidence, and comments/citations. The comments/citations column should include any sources, in addition to the statistical values in the csv, that were needed to decide on the correct...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Peak-flow,
Trends,
United States
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