USGS scientists deploying a Conductivity/Temperature/Depth (CTD) instrument package.
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Explore water-related photography, imagery, and illustrations.
USGS scientists deploying a Conductivity/Temperature/Depth (CTD) instrument package.
NHM: simulated runoff for April through June, 2011
NHM: simulated runoff for April through June, 2011Animation of lateral flow to the stream network from each hydrologic response unit (HRU) normalized by maximum of the simulated time series of lateral flow from the Precipitation-Runoff Modeling System (PRMS) as implemented in the U.S.
NHM: simulated runoff for April through June, 2011
NHM: simulated runoff for April through June, 2011Animation of lateral flow to the stream network from each hydrologic response unit (HRU) normalized by maximum of the simulated time series of lateral flow from the Precipitation-Runoff Modeling System (PRMS) as implemented in the U.S.
NHM: simulated streamflow for April through June, 2011
NHM: simulated streamflow for April through June, 2011Animation of streamflow classified by percentile of the simulated time series of streamflow for each segment from the Precipitation-Runoff Modeling System (PRMS) as implemented in the U.S.
NHM: simulated streamflow for April through June, 2011
NHM: simulated streamflow for April through June, 2011Animation of streamflow classified by percentile of the simulated time series of streamflow for each segment from the Precipitation-Runoff Modeling System (PRMS) as implemented in the U.S.
Enhancing scientific research with reproducible, collaborative, and scalable data analysis workflows and methodologies.Example R code leveraging a reproducible data pipeline with the package “remake” to handle dependencies and organize workflow.
Enhancing scientific research with reproducible, collaborative, and scalable data analysis workflows and methodologies.Example R code leveraging a reproducible data pipeline with the package “remake” to handle dependencies and organize workflow.
Data visualization pulling together multiple datasets from multiple agencies to explain how rain and flooding from Hurricane Florence impacted the landscape.
Data visualization pulling together multiple datasets from multiple agencies to explain how rain and flooding from Hurricane Florence impacted the landscape.
Data science tools and techniques to build and execute data workflows for modeling and complex data analyses.
Data science tools and techniques to build and execute data workflows for modeling and complex data analyses.
Data visualization pulling together multiple datasets from multiple agencies to explain how rain and flooding from Hurricane Florence impacted the landscape.
Data visualization pulling together multiple datasets from multiple agencies to explain how rain and flooding from Hurricane Florence impacted the landscape.
Data Science: Water Use in 2015 Visualization. Click here to read more about USGS Water Resources Mission Area Data Science.
Data Science: Water Use in 2015 Visualization. Click here to read more about USGS Water Resources Mission Area Data Science.
Data Science: Lake Mead Water Level Decline Visualization
Data Science: Lake Mead Water Level Decline VisualizationData Science: Lake Mead Water Level Decline Visualization. Click here to read more about USGS Water Resources Mission Area Data Science.
Data Science: Lake Mead Water Level Decline Visualization
Data Science: Lake Mead Water Level Decline VisualizationData Science: Lake Mead Water Level Decline Visualization. Click here to read more about USGS Water Resources Mission Area Data Science.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
A horse drinking water out of a bucket that is getting filled from a hose.
A horse drinking water out of a bucket that is getting filled from a hose.
Total water use withdrawals in 2015
Trends in population and freshwater withdrawals by source, 1950–2015
Trends in population and freshwater withdrawals by source, 1950–2015Trends in population and freshwater withdrawals by source, 1950–2015
Trends in population and freshwater withdrawals by source, 1950–2015
Trends in population and freshwater withdrawals by source, 1950–2015Trends in population and freshwater withdrawals by source, 1950–2015
Trends in total water withdrawals by water-use category, 1950–2015
Trends in total water withdrawals by water-use category, 1950–2015Trends in total water withdrawals by water-use category, 1950–2015
Trends in total water withdrawals by water-use category, 1950–2015
Trends in total water withdrawals by water-use category, 1950–2015Trends in total water withdrawals by water-use category, 1950–2015
Groundwater withdrawals in 2015
Regulation in StreamStats screenshot
Regulation in StreamStats screenshot
Upstream Network Trace in StreamStats screenshot
Upstream Network Trace in StreamStats screenshot
Figure 1. The USGS FIM Mapper, showing an example flood and hydrograph for Terra Haute, Ind. (Please note, the flood condition displayed represents a higher stream stage than shown in the hydrograph.)
Figure 1. The USGS FIM Mapper, showing an example flood and hydrograph for Terra Haute, Ind. (Please note, the flood condition displayed represents a higher stream stage than shown in the hydrograph.)
Public Supply Water Use in 2015
Domestic Water Use Withdrawals in 2015
Irrigation water use withdrawals in 2015