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The northern Gulf of Mexico receives large … The northern Gulf of Mexico receives large volumes of freshwater and sediment from both major and minor river systems. The Mississippi River system, the largest in North America in terms of freshwater discharge, plays a dominant role in shaping this region. Its massive freshwater and sediment input helps sustain one of the most dynamic, biologically productive, and economically vital continental shelves on Earth. Despite its global importance, the northern Gulf of Mexico remains an under-sampled coastal region, particularly with respect to the transport of water and sediment. This talk will present hydrodynamic, sedimentological, and geomorphological modelling studies conducted in the northern Gulf over the past 15 years. Key processes—including river plume dynamics, sediment settling within the water column, and sediment resuspension from the seabed—will be reviewed. Looking ahead, the increasing integration of machine learning and artificial intelligence is expected to play a major role in advancing the modeling of physical and geological processes in the northern Gulf.geological processes in the northern Gulf. +
kxu@lsu.edu +
CSDMS 2026 Webinars +
Kevin +
Lousiana State University +
Webinar +
Louisiana +
A Review of Sediment Transport Models in the Northern Gulf of Mexico +
10:00:00, 8 April 2026 +
https://cuboulder.zoom.us/j/91243378410 +
United States +
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15:41:01, 28 January 2026 +
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15:41:01, 28 January 2026 +
Terrestrial Working Group +, Coastal Working Group +, Marine Working Group +, Education and Knowledge Transfer (EKT) Working Group +, Cyberinformatics and Numerics Working Group +, Hydrology Focus Research Group +, Chesapeake Focus Research Group +, Critical Zone Focus Research Group +, Human Dimensions Focus Research Group +, Geodynamics Focus Research Group +, Ecosystem Dynamics Focus Research Group +, Coastal Vulnerability Initiative +, Continental Margin Initiative +, Artificial Intelligence & Machine Learning Initiative +, Modeling Platform Interoperability Initiative + and River Network Modeling Initiative +
