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Data

The USGS Water Resources Mission Area provides water information that is fundamental to our economic well-being, protection of life and property, and effective management of our water resources. Listed below are discrete data releases and datasets produced during our science and research activities. To explore and interact with our data using online tools and products, view our web tools.

Filter Total Items: 622

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-21

This data release contains 15 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (LaFontaine and others, 2024) from 1950 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Puerto Rico. The following...

Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021

This data release contains accumulated precipitation data from the CONUS404 climate forcing variable subset for hydrologic models, downscaled to 1 km and bias-adjusted for precipitation and temperature (CONUS404-BA; Zhang and others, 2024) from January 1980 through September 2021 that is summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of...

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System version 1.1 forced with CONUS404-BA, 1980-2021 (version 2.0, April 2025)

This data release contains 15 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1 modeling application forced with CONUS404-BA (Markstrom and others, 2024) from January 1980 through September 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the...

Water budget results for a water availability assessment across the conterminous United States

This data release contains results from a simple monthly water budget that includes water supply and consumptive use for thermoelectric, irrigation, and public supply for 12-digit Hydrologic Unit Codes (HUC12) across the conterminous United States for water years 2010-2020. These results were produced using an analysis pipeline that ingests water supply, consumptive use, and routing...

Geospatial Fabric for National Hydrologic Modeling, Alaska Domain

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the...

Sentinel-2 ACOLITE-DSF Aquatic Reflectance for the Conterminous United States

This dynamic data release presents an aquatic reflectance product with 20-meter spatial resolution derived from Sentinel-2 satellite imagery for the conterminous United States using the Atmospheric Correction for OLI “lite” (ACOLITE). Aquatic reflectance, noted Rhow in ACOLITE documentation, is defined here as unitless water-leaving radiance reflectance and represents the ratio of water...

Remotely sensed data, field measurements, and MATLAB code used to produce image-derived velocity maps for a reach of the Sacramento River near Glenn, CA, September 16-19, 2024

This data release provides remotely sensed data, field measurements, and MATLAB code associated with an effort to produce image-derived velocity maps for a reach of the Sacramento River in California's Central Valley. Data collection occurred from September 16-19, 2024, and involved cooperators from the Intelligent Robotics Group from the National Aeronautics and Space Administration...

Illinois River basin seasonally dynamic total nitrogen and phosphorus SPARROW model inputs and outputs, 2000 through 2020

This data release contains seasonal source-specific estimates of total nitrogen (TN) and total phosphorus (TP) loading to streams across the Illinois River basin (25,620 reaches) for 21 years from 2000 through 2020 using a dynamic SPARROW (Spatially Referenced Regressions on Watershed attributes) model. Input data including calibration loads, output predictions, model control files, and...

Conceptual headwater stream daily heat budget scenarios under varied shading and groundwater influence

The Neversink River watershed (above the Neversink Reservoir) in the Catskill Mountains of New York, USA has been a focus of U.S. Geological Survey research for decades regarding stream geochemistry, acidification, and ecology dynamics. In 2019, the Water Mission Area Next Generation Water Observing Systems Program (NGWOS) augmented the existing stream gage network to include multiscale...

Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:100k scale, 2001-2019

Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales. We utilized over 16...

Thermal imagery acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity collected along the Sacramento River, California, November, 2023

A reach of the Sacramento River near Glenn, California, was selected as a field site to test a sensor payload developed by the U.S. Geological Survey and the National Aeronautics and Space Administration for estimating surface flow velocities in rivers. The payload, called the River Observing System (RiOS), can be deployed from an uncrewed aircraft system (UAS). RiOS includes visible and...

Delaware River Basin Stream Salinity Machine Learning Models and Data

This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segments across the Delaware River Basin (DRB) from 1984-09-30 to 2021-12-31. There are a total of twelve models from combinations of two machine learning models (Random Forest and...
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