The U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE) are collaborating with the U.S. Federal Emergency Management Agency (FEMA) on improving flood-frequency analysis methods to account for mixed populations arising from different flood causal mechanisms. Precipitation data at different timescales are widely used in flood-typing studies. Various gridded precipitation datasets were validated by comparison against station observations to support flood-typing over six pilot regions in the contiguous U.S. (CONUS) where flood-typing approaches will be initially tested. The six pilot regions are (1) the Delaware River, (2) the Iowa River, (3) Puget Sound, (4) the Red River of the North, (5) the Trinity River, and (6) the Upper Colorado River. The datasets were validated by comparison against gage data from the NOAA Global Historical Climatology Network daily (GHCNd) for the periods 1981-2013 and 1998-2013. A Microsoft Excel workbook is provided, which tabulates normalized Taylor diagram statistics for multi-day extreme precipitation in each pilot region for the two periods. Extreme precipitation of 1-, 2-, 3-, 5-, 7-, 10-, and 14-day duration were evaluated. The statistics evaluated include the Pearson correlation coefficient, the standard deviation ratio, the centered root-mean-square difference, the percent bias, and the Kling-Gupta efficiency (KGE) metric. The gridded precipitation datasets include: (1) 20th Century Reanalysis Version 3 (20CRV3) dataset, (2) the Analysis of Record for Calibration (AORC) dataset, (3) the four-kilometer long-term (40-year) regional hydroclimate reanalysis over the conterminous United States dataset (CONUS404), (4) a bias-adjusted version of CONUS404 (CONUS404BA) which uses the Daymet version 3 dataset for bias adjustment, (5) the European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis - Fifth Generation dataset (ERA5), (6) a downscaled version of ERA5 precipitation (ERA5-Land), (7) the gridded precipitation dataset by Livneh et al. (Livneh), (8) a version of the Livneh dataset that does not split reported 24-hour precipitation between subsequent days (Livneh-unsplit), (9) the Parameter-elevation Regression on Independent Slopes Model (PRISM) dataset, and (10) the Stage IV dataset. Stage IV was not included in the 1981–2013 analysis since it is only available since 1997.

The U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE) are collaborating with the U.S. Federal Emergency Management Agency (FEMA) on improving flood-frequency analysis methods to account for mixed populations arising from different flood causal mechanisms. Precipitation data at different timescales are widely used in flood-typing studies. Various gridded precipitation datasets were validated by comparison against station observations to support flood-typing over six pilot regions in the contiguous U.S. (CONUS), where flood-typing approaches will be initially tested. The six pilot regions are (1) the Delaware River, (2) the Iowa River, (3) Puget Sound, (4) the Red River of the North, (5) the Trinity River, and (6) the Upper Colorado River. Various precipitation datasets derived from station, radar, reanalysis data, or combinations thereof, were validated in terms of their ability to capture the spatiotemporal characteristics of daily precipitation as well as multi-day (1–14 day) extreme precipitation events. The datasets were validated by comparison against gage data from the NOAA Global Historical Climatology Network daily (GHCNd) for the periods 1981-2013 and 1998-2013. Taylor diagrams and the Kling-Gupta efficiency (KGE) metric were used for validation. This data release consists of three tables in EXCEL spreadsheet format: -- Normalized Taylor diagram statistics for daily precipitation by season in each pilot region, for the two periods (All_precipitation_statistics.xlsx). -- Normalized Taylor diagram statistics for multi-day extreme precipitation in each pilot region, for the two periods (Extreme_precipitation_statistics.xlsx). -- List of GHCNd stations used for evaluation of daily precipitation by season and for evaluation of multi-day precipitation performance in each pilot region, for the two periods (GHCND_stations.xlsx).

This dataset is a continuous parameter grid (CPG) of normal (average) annual precipitation data for the years 1981 through 2010 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

This dataset is a continuous parameter grid (CPG) of normal (average) annual precipitation data for the years 1981 through 2010 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

,Monthly 30-year "normal" dataset covering the conterminous U.S., averaged over the climatological period 1991-2020. Contains spatially gridded average annual total precipitation at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.,

This data release contains results of a study investigating changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States, including nine States (Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin). Peak-flow records from unregulated U.S. Geological Survey streamgages were used to evaluate changes in streamflow seasonality over 75-, 50-, and 30-year trend periods through water year 2020. The streamgages in each of the nine states used in the analysis and the results of the seasonal characteristics and statistical analyses are provided in tabular form (in csv file format) in file "Results.zip" under "Attached Files" below.

This data release contains results of a study investigating changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States, including nine States (Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin). Peak-flow records from unregulated U.S. Geological Survey streamgages were used to evaluate changes in streamflow seasonality over 75-, 50-, and 30-year trend periods through water year 2020. The streamgages in each of the nine states used in the analysis and the results of the seasonal characteristics and statistical analyses are provided in tabular form (in csv file format) in file "Results.zip" under "Attached Files" below.

These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum 30-minute precipitation occurring on average once in 2 years from NOAA Atlas 14. These values will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.gov/ ). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, to retrieve basin characteristics, to estimate flow statistics, and more.