Elizabeth Godsey
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Elizabeth Godsey has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Patricia (Soupy) Dalyander
The Water Institute of the Gulf, Baton Rouge, LA 70802, USA
2 shared publications - Rangley C. Mickey
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL 33701, USA
2 shared publications - Robert L. Jenkins
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, St Petersburg, FL, USA
2 shared publications - David M. Thompson
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center St. Petersburg FL USA
1 shared publication - Hongqing Wang
U.S. Geological Survey, Wetland and Aquatic Research Center, Baton Rouge, USA
1 shared publication - Joseph W. Long
U.S. Geological Survey St. Petersburg Coastal and Marine Science Center St. Petersburg Florida USA
1 shared publication
Latest Publications
- 17 June 2021
- Published by Springer Nature in Estuaries and Coasts
- Vol. 44 (8) , 2073-2086
Assessing Habitat Change and Migration of Barrier Islands
- 17 June 2021
- Published by Springer Nature in Estuaries and Coasts
- Vol. 44 (8) , 2073-2086
Assessing Habitat Change and Migration of Barrier Islands
- 1 January 2020
- Published by US Geological Survey
Application of decadal modeling approach to forecast barrier island evolution, Dauphin Island, Alabama
Forecasting barrier island evolution provides coastal managers and stakeholders the ability to assess the resiliency of these important coastal environments that are home to both established communities and existing natural habitats. This study uses an established coupled model framework to assess how Dauphin Island, Alabama, responds to various storm and sea-level change scenarios, along with a suite of restoration measures, over the course of a decade. The coupled model framework uses validated models for long-term alongshore sediment transport (Delft 3D), short-term storm induced impacts (XBeach), as well as dune building and recovery (empirical dune growth model). This model framework was simulated with the various storm and sea-level change scenarios on a non-restored Dauphin Island, then a subset of the storm and sea-level change scenarios were applied to a suite of seven different restoration measures to determine how they would influence the morphologic evolution over a decadal period. Topographic and bathymetric changes captured in post-simulation digital elevation models were then passed on to partners for various simulations to determine the effects on habitat evolution and water quality as it relates to oyster reef and submerged aquatic vegetation.
- 1 January 2020
- Published by US Geological Survey
Application of decadal modeling approach to forecast barrier island evolution, Dauphin Island, Alabama
Forecasting barrier island evolution provides coastal managers and stakeholders the ability to assess the resiliency of these important coastal environments that are home to both established communities and existing natural habitats. This study uses an established coupled model framework to assess how Dauphin Island, Alabama, responds to various storm and sea-level change scenarios, along with a suite of restoration measures, over the course of a decade. The coupled model framework uses validated models for long-term alongshore sediment transport (Delft 3D), short-term storm induced impacts (XBeach), as well as dune building and recovery (empirical dune growth model). This model framework was simulated with the various storm and sea-level change scenarios on a non-restored Dauphin Island, then a subset of the storm and sea-level change scenarios were applied to a suite of seven different restoration measures to determine how they would influence the morphologic evolution over a decadal period. Topographic and bathymetric changes captured in post-simulation digital elevation models were then passed on to partners for various simulations to determine the effects on habitat evolution and water quality as it relates to oyster reef and submerged aquatic vegetation.