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This data release provides rasters of actual evapotranspiration (ET) at the Conterminous U.S. (CONUS) scale from October 1895 to September 2018. Data are provided at the annual and monthly time scales at 800 meter spatial resolution. The dataset was produced using ensemble estimation methods described in the associated journal article. The data release also includes associated datasets developed in the production of these ET estimates, including monthly maps of groundwater and surface water irrigation from 1980-2018, as well as data underlying the figures in the associated paper.
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From October 2017 through September 2022, the National Water Quality Network (NWQN) monitored 110 surface-water river and stream sites and more than 1,800 groundwater wells for a large number of water-quality analytes, for which associated quality-control data and corresponding statistical summaries are included in this data release. The quality-control data—for samples that were collected in the field (at all 110 surface-water sites, 350 groundwater wells, and 16 quality-control-only sites), prepared in the laboratory, or prepared by a third party—can be used to assess the quality of environmental data collected by the NWQN through the estimation of bias and variability in reported results. The general analyte...
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Remotely sensed imagery is increasingly used by emergency managers to monitor and map the impact of flood events to support preparedness, response, and critical decision making throughout the flood event lifecycle. To reduce latency in delivery of imagery-derived information, ensure consistent and reliably derived map products, and facilitate processing of an increasing volume of remote sensing data-streams, automated flood mapping workflows are needed. The U.S. Geological Survey is facilitating the development and integration of machine-learning algorithms in collaboration with NASA, National Geospatial Intelligence Agency (NGA), University of Alabama, and University of Illinois to create a workflow for rapidly...
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The mission of the U.S. Geological Survey (USGS) involves providing reliable, impartial, and timely information that is needed to understand the Nation’s water resource. New techniques that aid in achieving this mission are important, especially those that allow USGS to do so more accurately or cost-effectively. To this end, a new method for selecting the optimum exposure time for velocity and discharge measurements has been explored. These data were assembled to assist in the development and evaluation of this new method. Four kinds of time-series data are available and used for this purpose. They are: (1) model-derived synthetic velocities, (2) point-velocity measurements in laboratory flumes, (3) point-velocity...


    map background search result map search result map Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S. Data for the development of a new method for dynamically estimating exposure time for turbulent flow measurements Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022 Satellite-Derived Training Data for Automated Flood Detection in the Continental U.S. Data for the development of a new method for dynamically estimating exposure time for turbulent flow measurements Field, laboratory, and third-party quality-control data associated with sites and analytes monitored by the USGS National Water Quality Network, October 2017 through September 2022