Lower Mississippi-Gulf Water Science Center


Welcome to the USGS Web page that provides access to water resources information for the Lower Mississippi-Gulf.


Real-time data:

Streamflow:   AL || AR || LA || MS || TN

Water quality:   AL || AR || LA || MS || TN

Groundwater levels:    AL || AR || LA || MS || TN

Precipitation:    AL || AR || LA || MS || TN

Water use:    AR || LA || MS || TN

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Hydrologic Data at LMG

Hydrologic Data at LMG

We provide current and historical surface-water, groundwater, water quality, water use, and ecological data in various formats (map, graphical, tabular)

Water Data at LMG

Science at LMG

Science at LMG

The Lower Mississippi Water Science Center collects high-quality hydrologic data and conducts unbiased, scientifically sound research on Alabama, Arkansas, Louisiana, Mississippi, and Tennessee water resources.

Science at LMG

Quick links - Water Conditions for the nation

See current and historical water data for the United States. Here you can find information from floods to droughts for the entire nation.

USGS Streamstats

USGS WaterWatch - Current Streamflow

USGS WaterWatch - Flood

USGS WaterWatch - Drought

USGS WaterWatch - Past Flow/Runoff

USGS WaterWatch - Animation

USGS WaterWatch - Toolkit



Date published: October 7, 2020

USGS Deploying Storm Tide Sensors Along Gulf Coast for Hurricane Delta

To learn more about USGS’s role in providing science to decision-makers before, during and after Hurricane Delta, visit the USGS Hurricane Delta page at www.usgs.gov/delta.  


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Year Published: 2021

Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States

Machine-learning models developed by the U.S. Geological Survey were used to predict iron concentrations and the probability of dissolved oxygen (DO) concentrations exceeding a threshold of 1 milligram per liter (mg/L) in groundwater in aquifers of the Mississippi embayment physiographic region. DO and iron concentrations are driven by and reflect...

Knierim, Katherine J.; Kingsbury, James A.; Haugh, Connor J.
Knierim, K.J., Kingsbury, J.A., and Haugh, C.J., 2021, Machine-learning predictions of redox conditions in groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States: U.S. Geological Survey Scientific Investigations Map 3468, 16 p., 3 sheets, https://doi.org/10.3133/sim3468.

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Year Published: 2021

Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements

Remote sensing satellite Earth Observing Systems (EOS) provide a variety of products for monitoring Earth surface processes at varying spatial and spectral resolutions. Combining information from high and medium spatial resolution images is valuable for monitoring ground cover and vegetation status in cropland, grassland, forests, and other...

Pancorbo, J.L.; Lamb, Brian T.; Quemada, Miguel; Hively, W. Dean; Gonzalez-Fernandez, I.; Molina, Inigo

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Year Published: 2021

The impact of ventilation patterns on calcite dissolution rates within karst conduits

Erosion rates in streams vary dramatically over time, as differences in streamflow and sediment load enhance or inhibit erosion processes. Within cave streams, and other bedrock channels incising soluble rocks, changes in water chemistry are an important factor in determining how erosion rates will vary in both time and space. Prior studies in...

Covington, Matthew D.; Knierim, Katherine J.; Young, Holly H; Rodriguez, Josue; Gnoza, Hannah