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Northeast (NE) 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...
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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...
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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...
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Midwest (MW) 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...
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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...
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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...
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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. Work for the National Trend Attributions for Nonstationary Annual Peak-flow Records has been broken into seven regions that are loosely based off of two-digit hydrologic unit watershed boundaries. Each of the regions made attribution 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...
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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...


    map background search result map search result map Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015 Attributions for nonstationary peak streamflow records in the Northeast region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Southeast region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Midwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the South Central region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Upper Plains region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Pacific Northwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Southwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Northeast region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Southwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Pacific Northwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Southeast region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the South Central region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Midwest region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records in the Upper Plains region, 1941-2015 and 1966-2015, and supporting information Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015