Coupled Ocean Modeling Group
Coupled numerical and AI modeling for coastal hazard predictionWe build models that connect rivers, coasts and oceans. Our group develops coupled hydrology-ocean-atmosphere systems and machine-learning approaches for compound flooding, storm response, ocean carbon and hypoxia, from the Mississippi Basin through the delta to the Gulf shelf. |
- CURRENT CYCLE
- Status unavailable
- FORECAST HORIZON
- 72 h
- FORECAST DOMAINS
- 4
- SINCE
- 2021 · daily
Forecast systems & applications
GAm-CHFSCOMPOUND FLOODING Gulf of America Coastal Hazards Forecast System. Seventy-two-hour forecasts of river discharge, coastal water levels, currents and waves across the Mississippi Basin and the Gulf. |
Carbon and hypoxia forecastBIOGEOCHEMISTRY Forecasts of ocean pCO2, air-sea CO2 exchange and bottom dissolved oxygen, connecting river inputs with coastal water quality on the northern Gulf shelf. |
Parish-scale flood guidanceAI FORECASTING / LOCAL PILOT An AI forecasting pilot with Ascension Parish combines drainage observations and weather data to predict local stream levels over the next 24 hours. |
Research themes
Explore our research framework, themes and applications
01
Compound flooding
Rivers, deltas, surge and rainfall as one connected system, including tides and seawater intrusion.
02
Storms & sediment
Ocean, atmosphere, waves and sediment during extreme events, including storm-driven contaminant transport.
04
Marine ecosystems
Nutrients, hypoxia, estuarine biogeochemistry and oyster larval growth and dispersal.
05
AI and digital twins
Machine-learning forecasts, integrated coastal data and virtual representations of coastal systems.
Recent publications
2026 research across the land-coast-ocean continuum.
- Biogeochemical responses to a tropical storm in an eroding estuary of the Mississippi
River delta plain
Mahmood, Maiti, Wang & Xue (2026). Limnology and Oceanography, 71(8), e70473. - Redistribution of sediment and particulate mercury within upstream reaches of Galveston
Bay in response to Hurricane Harvey
Du & colleagues (2026). Journal of Geophysical Research: Oceans, 131, e2025JC023581. - An integrated modeling platform for land-coast-ocean continuum: The Gulf of America
coastal hazards forecast system (GAm-CHFS)
Zhao, Xue & colleagues (2026). Environmental Modelling & Software, 204, 107054. - A numerical study of eastern oyster (Crassostrea virginica) larval growth and dispersal
in Barataria Estuary, Louisiana
Zang, Xue & colleagues (2026). Estuaries and Coasts, 49, 114. - Amplified tides and seawater intrusion: a new challenge of sea-level rise
Liu & colleagues (2026). Science Bulletin.
View all publications and full citations
News
Sep 10, 2026
ARBC supports expansion of water-level forecasting with LSU.
Sep 1, 2026
EcoCARE receives a $4M NSF award; Xiaochen Zhao leads the LSU effort.
Jul 2, 2026
Advancing Louisiana's high-frequency radar ocean observing network.
Jun 9, 2026
LSU and Ascension Parish partner on AI-powered flood forecasting.
Join usInterested in coastal modeling, AI or ocean biogeochemistry? Contact Z. George Xue to discuss your research interests and potential opportunities with the group. |