Under this category, the focus is on topics such as the impacts and evaluation of severe weather and hurricanes and visualization tools created by GRI researchers to streamline important information and data.

AmoebaNet- Testing Advanced Network Capabilities Using GeoFish and OceanNOMADS
This project supports the development of NOAA's NMFS/AFSC. It will use advanced networks to link two existing resources for modeling- the OceanNOMADS server and GeoFish and to test the use of a centralized data store with a local application for advanced modeling and interaction.
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Coastal Ocean Color Trade Study
GRI scientists have created a system of unique data sets to enable a better understanding of environmental processes that occur in coastal environments. Coastal and inland waters and their environments were targeted for the initial mission due to their importance to various aspects of human activity and the inability of current systems to accurately sense these unique environments. This mission works in support of the planned GEO-CAPE satellite mission that monitors these environments and is critical for evaluating and understanding the spatial variations and dynamics associated with coastal environments.
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Coastal Resiliency from Hurricane Impacts
Coastal wetlands provide a line of defense for coastal communities against hurricane impacts. The wetlands can reduce wind, wave, and surge energy which will in-turn reduce the damaging effects of hurricanes on coastal infrastructure and communities. Research has been developed to improve our understanding of coastal resiliency from hurricane impacts in regards to wetland areas. This was achieved by using integrated numerical modeling and in-situ observations and remote sensing techniques.
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Cost Effective BMPs for Resilient Communities
This project developed a tool that will enable the development industry to design and build more resilient and sustainable communities through the inclusion of BMPs (Best Management Practices) in new commercial and residential construction.
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Development of a Northern Gulf of Mexico Operational Forecast System
The NOAA National Ocean Service's Physical Oceanographic Real-Time Systems (PORTS) along the northern coast of the Gulf of Mexico will provide real-time oceanographic data to promote safe and efficient navigation. The Northern Gulf Institute, through Mississippi State University, will manage and coordinate this Operational Forecast System (OFS) University of Massachusetts-Dartmouth project activity in the development of a model to support the PORTS. A global or basin-scale model will provide boundary conditions to a proposed northern Gulf of Mexico Shelf domain model.
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FloodViz: Visual Analytics for Assessment and Interpretation of Simulated River Flooding
The FloodViz project involves the development and testing of visual analytics software to enable scientists and forecasters to better interpret and distribute hydrologic information. This software will be useful in the research community as an interpretation tool for river level and flood data. The tools developed serve as a useful platform for hydrologic forecasters within the National Weather Service to more quickly and accurately determine areas at risk for flooding and allow NOAA river forecasters to better visualize the extent of flooding. Additionally, these tools allow forecasters to relay more information to the emergency management community while issuing forecasts to help protect lives, property and the nation.
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Forecasting Episodic Changes in Hurricane Intensity and Structure over the Gulf of Mexico
The primary goal of this proposed initial one-year project is to provide greater insight into forecasting time-sensitive trends of rapid formation, changing intensity, and changing wind field area (or size) of hurricanes over the Gulf Mexico in the interest of reducing the uncertainty in the risk posed to Gulf Coast residents and infrastructure. The focus would be to identify key features or processes present in the ambient atmosphere and in the Gulf of Mexico that led to critical episodic changes in the intensity and structure of recent hurricanes: Humberto, Gustav, and Ike.
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GeoVol-Geospatial Volume Rendering
This project created software using direct volume rendering techniques that achieved real-time performance and high image quality. A user study was conducted to compare the implemented volume rendering technique with state-of-the-art isosurface rendering to examine hurricane data. The results of the study established that both volume rendering and isosurface visualizations were effective in examining data from computer simulations of hurricanes. Because of the higher image quality and the interactive frame rates, direct volume rendering was preferred. Future studies will be conducted to quantify performance differences between using the traditional 2D methods and the 4D methods.
Hurricane Lili Visualization Email Contact

Health and Productivity of Louisiana Salt Marshes
This study will allow the identification of hotspots of marsh degradation in Louisiana by evaluating marsh biophysical characteristics including distribution of chlorophyll content, green leaf area and green marsh canopy cover. This assessment of marsh health and productivity is due to the Deepwater Horizon oil spill. NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images will be used to retrieve and map these characteristics across the coastal Louisiana salt marshes before and after the spill. The maps and tools produced from the study will be helpful to coastal managers across Louisiana as they evaluate and prioritize the marsh restoration effort which will take place due to the oil spill. Tangible map products will be generated for the first time that can quantitatively assess the effect of the restoration activities and speed of marsh ecosystem recovery.
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Hurricane Landfall Estimation and Storm Surge
The storm surge of Hurricane Katrina, which made landfall in Mississippi and Louisiana in 2005, was unprecedented for its elevation, area coverage, and levee breaches. Due to the storm surge, areas along the Gulf Coast were severely flooded and destroyed. GRI is addressing recent Mississippi and Louisiana storm surge issues using the finite element model ADCIRC. The research will facilitate answers to the sensitivity of the storm surge in Mississippi to wind profiles of major hurricanes, as well as to hurricane eye size and landfall estimation.
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Linking Cultural, Biological and Economic Values into Wetland Programs: Mississippi Band of Choctaw Indians' Pearl River Wetland Demonstration Project
This project aims to develop procedures for more reliably regenerating rivercane and for planting potential restoration sites in the Coastal Plain, and for maintenance of stands for cultural use by native peoples. We are assessing ecological factors associated with the establishment and maintenance of rivercane stands, developing methods for vegetative propagation of rivercane from rhizome segments, and attempting to transfer our findings directly to the Choctaw and other American Indian groups through local and regional symposia, workshops, and field days.
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Naval Coastal Ocean Model (NCOM)/Hybrid Coordinate Ocean Model (HYCOM)
NOAA's Office of Oceanic and Atmospheric Research entrusted GRI to study two versions for each of these models- their global and Gulf of Mexico adaptations. Data was analyzed from instruments tethered to floating and moored buoys, as well as unmanned gliders that look like miniature submarines. The goal was to determine the accuracy of the four model forecasts, as well as their ranking with respect to each other.
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Northern Gulf Institute Integrated Education and Outreach Program
Under this project, National Oceanic and Atmospheric Administration (NOAA), Mississippi State University (MSU) and Dauphin Island Sea Lab (DISL) will work together to lead the effort to combine education and outreach into a single integrated program of a two year duration focusing on issues and opportunities in the Northern Gulf. By implementing education and outreach at the organizational level, drawing on the strengths of the NGI partners and NOAA education and outreach professionals in the Northern Gulf region, and maintaining an identifiable presence at each NGI partner by building a team with members at each institution, the education and outreach activities will increase the visibility and understanding of NGI research and will assist the integration of NGI research across partners and scientific themes.
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Satellite Rainfall Applications for Surface Hydrology
GRI has evaluated results which examine how soil moisture states simulated by land surface models are impacted when forced with various precipitation datasets. These datasets are from a collection of Global Precipitation Mission satellite constellation configurations gathered over the continental United States.
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Spatial Technology and High Performance Computing for Improving Prediction of Surface Water Quality
This project will contribute generally to improved coastal management decisions by demonstrating the best use of new data and modeling technologies for ecosystem management. It will specifically lead to improved management of Mobile Bay, with benefits to the Alabama-Mississippi coastal zone and Mississippi Sound.
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Spatial Variation and Temporal Trend of Water Quality
NGI conducted ground truth observations and standardize algorithms to produce and evaluate the spatial and temporal variations of water quality parameters in the Northern Gulf of Mexico (NGOM). The effort is aimed at improving the monitoring of the NGOM ecosystem based on remote sensing and understanding the dynamics of harmful algae blooms in the region.
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UAV Research with NOAA
GRI scientists are using UAVs to assess the speed and rate of how rivers flow and rise and where the water goes, especially in flood type conditions. Partnering with NOAA, both are helping the U.S. to become a “Weather Ready Nation.” This effort can help prevent the loss of life and property before, during and after natural disasters, such as flooding, created by tropical storms and hurricanes. They are conducting research and gaining invaluable environmental and situational data along the lower Pearl River watershed, south of Bogalusa, Louisiana, all the way down to what is called the tidal plain.
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Visualization Techniques for Improving Understanding of Severe Storms
This project advances the visual analysis tools to increase a modeler or analyst's ability to understand hurricane structure, intensity and dynamics. The project focuses on developing new 2D and 3D visualization tools which produce visualization products that can be made publicly available, easily interpreted and can be viewed on personal computers or used in television coverage. The goal is to create a hurricane visualization system that accepts both simulated and measured data as input and put all the data into a single geographic context.
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Weather Research and Forecasting Modeling System
This research includes assimilation of NEXRAD radial winds in a regional mesoscale model and the use of Lagrangian models to estimate the transport and dispersion of gasses/particles over the Southeastern United States. It is our plan to provide daily plume (smoke) forecast information, as well as atmospheric wind and other conditions over the Gulf coast. Therefore, the information can be used to assess how the smoke due to burning oil over the Gulf of Mexico propagates in time.
WRF Web Site Email Contact

WISDOM - Weather In-Situ Deployment Optimization Method
GRI scientists and students are participating in WISDOM, the Weather In-Situ Deployment Optimization Method research program that seeks to improve hurricane forecasting time by three to seven days before a storm's landfall by providing wind and atmospheric data in areas of the Atlantic basin that are poorly observed. The WISDOM program launches small super-pressure balloons with payloads that include GPS and satellite radio communications capabilities.
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Modified: May 17, 2016  •  WebMaster  •  Intranet