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View of beach from roof top, edge of roof in foreground, pier extending from beach out over water in center, park in background.

Remote Sensing Coastal Change

We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Big Sur Landslides
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Remote Sensing Coastal Change

We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
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2014-08_Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat_

Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat at Breton Island National Wildlife Refuge

Breton Island, located at the southern end of the Chandeleur Islands, Louisiana, is part of the Breton National Wildlife Refuge (NWR) established in 1904 by Theodore Roosevelt. Breton NWR is recognized as a globally important bird habitat because of the resources it provides, and hosts one of Louisiana's largest historical brown pelican nesting colonies. Without actions to restore sand to the...
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Ecosystems Mission Area, Natural Hazards Mission Area, St. Petersburg Coastal and Marine Science Center, Wetland and Aquatic Research Center , Gulf of Mexico
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Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat at Breton Island National Wildlife Refuge

Breton Island, located at the southern end of the Chandeleur Islands, Louisiana, is part of the Breton National Wildlife Refuge (NWR) established in 1904 by Theodore Roosevelt. Breton NWR is recognized as a globally important bird habitat because of the resources it provides, and hosts one of Louisiana's largest historical brown pelican nesting colonies. Without actions to restore sand to the...
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Probabilities of coastal erosion - Tropical Storm Colin

Tropical Storm Colin - Forecast of Coastal Change

Forecast of coastal change for Tropical Storm Colin.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
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Tropical Storm Colin - Forecast of Coastal Change

Forecast of coastal change for Tropical Storm Colin.
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Potential coastal change impacts for Hurricane Joaquin - Oct. 4, 2015

Hurricane Joaquin - Forecast and Documentation of Coastal Change

Hurricane Joaquin coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
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Hurricane Joaquin - Forecast and Documentation of Coastal Change

Hurricane Joaquin coastal change forecast and pre- and post-storm photos documenting coastal change.
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Potential coastal change impacts for Hurricane Sandy - Oct. 29, 2012

Hurricane Sandy - Forecast and Documentation of Coastal Change

Hurricane Sandy coastal change forecast and pre- and post-storm photos documenting coastal change.
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St. Petersburg Coastal and Marine Science Center, Hurricane Sandy
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Hurricane Sandy - Forecast and Documentation of Coastal Change

Hurricane Sandy coastal change forecast and pre- and post-storm photos documenting coastal change.
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tential coastal change impacts for Hurricane Matthew - Oct. 7, 2016

Hurricane Matthew - Forecast and Documentation of Coastal Change

Hurricane Matthew coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Matthew
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Hurricane Matthew - Forecast and Documentation of Coastal Change

Hurricane Matthew coastal change forecast and pre- and post-storm photos documenting coastal change.
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Photo Highlighting Predicted Erosion and Inundation areas in Texas

Hurricane Harvey - Forecast and Documentation of Coastal Change

Hurricane Harvey coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Harvey
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Hurricane Harvey - Forecast and Documentation of Coastal Change

Hurricane Harvey coastal change forecast and pre- and post-storm photos documenting coastal change.
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Hurricane Irma-response page intro slide

Hurricane Irma - Forecast and Documentation of Coastal Change

Hurricane Irma coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico, Hurricane Irma, Hurricanes
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Hurricane Irma - Forecast and Documentation of Coastal Change

Hurricane Irma coastal change forecast and pre- and post-storm photos documenting coastal change.
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Potential coastal change impacts for Hurricane Nate - Oct. 7, 2017

Hurricane Nate - Forecast and Documentation of Coastal Change

Hurricane Nate coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Nate
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Hurricane Nate - Forecast and Documentation of Coastal Change

Hurricane Nate coastal change forecast and pre- and post-storm photos documenting coastal change.
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Schematic describing a methodology to integrate short-term and long-term shoreline position processes to generate predictions of

Integration of Processes over Different Spatial and Temporal Scales

This research uses state-of-the-art observations, numerical models, and model-data assimilation techniques to better understand their cumulative effect on coastal change.
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Coastal and Marine Hazards and Resources Program
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Integration of Processes over Different Spatial and Temporal Scales

This research uses state-of-the-art observations, numerical models, and model-data assimilation techniques to better understand their cumulative effect on coastal change.
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Photo of a coastal cliff with an apartment building right at the edge of the cliff.

National Assessment of Coastal Change Hazards

Research to identify areas that are most vulnerable to coastal change hazards including beach and dune erosion, long-term shoreline change, and sea-level rise.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center, Gulf of Mexico, Hurricane Harvey, Hurricane Irma, Hurricane Jose, Hurricane Maria, Hurricane Matthew, Hurricane Sandy
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National Assessment of Coastal Change Hazards

Research to identify areas that are most vulnerable to coastal change hazards including beach and dune erosion, long-term shoreline change, and sea-level rise.
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Aerial photograph looking west along Dauphin Island, Alabama, taken in September 2016.

Alabama Barrier Island Restoration Study

Scientists are collecting geologic data and developing a numerical model framework to understand the evolution of Dauphin Island over the last 15-20 years and assess the future evolution of the island over the next 15-50 years, including the impacts of potential restoration scenarios.
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Natural Hazards Mission Area, Environmental Health Program, St. Petersburg Coastal and Marine Science Center
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Alabama Barrier Island Restoration Study

Scientists are collecting geologic data and developing a numerical model framework to understand the evolution of Dauphin Island over the last 15-20 years and assess the future evolution of the island over the next 15-50 years, including the impacts of potential restoration scenarios.
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Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecte
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines

The U.S. Geological Survey (USGS) National Assessment of Coastal Change Hazards (NACCH) project aims to identify areas of the nation's coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here, organized by individual fiel
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results

The Delft3D model inputs and outputs of bed levels resulting from the simulations of proposed navigation channel deepening and widening in Mobile Harbor, Alabama, as described in USGS Open-File Report 2018-1123, are provided here. For further information regarding model input generation and visualization of model output elevations, refer to USGS Open-File Report 2018-1123.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Inputs and Results

XBeach was used to simulate hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama, under present-day conditions and future sea level rise (SLR) scenarios as described in Passeri and others, 2018. Model inputs and outputs in the form of topography and bathymetry are provided here. For further information regarding model input generation and visualization of model output topography an
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

XBeach Bottom Friction Scenarios: Model Inputs and Results

Various bottom friction scenarios were simulated for hurricanes Ivan and Katrina at Dauphin Island, AL, using XBeach, as described in Passeri and others, 2017. Model inputs and outputs in the form of topography are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Passeri and others, 2017. Passeri, D.L., L
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Wave Scenario Results of Proposed Sediment Borrow Pit 3 on the Nearshore Wave Climate of Breton Island, LA

Provided here are the SWAN wave model input of grid 4 with pit 3 configuration and output of significant wave height, dominant wave period, and mean wave direction resulting from simulation of wave scenarios at the Breton Island, LA, as described in USGS Open-File Report 2015-1055 (https://doi.org/10.3133/ofr20151055). There are 128 individual scenarios that are based on significant wave height (H
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Vector Shorelines and Associated Shoreline Change Rates Derived from Lidar and Aerial Imagery for Dauphin Island, Alabama: 1940-2015

In support of studies and assessments of barrier island evolution in the Gulf of Mexico, rates of shoreline change for Dauphin Island, Alabama, were calculated using two different shoreline proxy datasets with a total temporal span of 75 years. Mean High Water line (MHW) shorelines were generated from 14 lidar datasets from 1998 to 2014, and Wet Dry Line (WDL) shorelines were digitized from ten s
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data

The U.S. Geological Survey conducted experiments during March of 2014 to expand the available data on sand and oil agglomerate motion; test shear stress based incipient motion parameterizations in a controlled, laboratory setting; and directly observe sand and oil agglomerate exhumation and burial processes. Experiments were carried out at the Naval Research Laboratory, Stennis Space Center, Stenn
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Hurricane Matthew Overwash Extents

The National Assessment of Coastal Change Hazards project exists to understand and predict storm impacts to our nation's coastlines. This data defines the alongshore extent of overwash deposits attributed to coastal processes during Hurricane Matthew.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Matthew

EAARL Coastal Topography-Chandeleur Islands, Post-Hurricane Katrina, 2005

These datasets, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provide lidar-derived first-surface and bare-earth topography for the Chandeleur Islands, Louisiana. Elevation measurements were acquired by the Experimental Advanced Airborne Research Lidar (EAARL) on September 1?4, 2005, immediately following Hurricane Katrina's landfall.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Storm-Impact Scenario XBeach Model Inputs and Results

The XBeach model input and output of topography and bathymetry resulting from simulation of storm-impact scenarios at the Chandeleur Islands, LA, as described in USGS Open-File Report 2017-1009 (https://doi.org/10.3133/ofr20171009), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry refer to USGS Open-File Report
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

EAARL Coastal Topography-Louisiana, Mississippi and Alabama, March 2006

This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides first and last return elevation data collected during a March 14-15, 2006 airborne lidar survey for the Chandeleur Islands, Louisiana, and Ship Island, Mississippi through Orange Beach, Alabama. Elevation measurements were collected over the area using the National Aeronautics and Space
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.
Total Water Level and Coastal Change Forecast Viewer
Total Water Level and Coastal Change Forecast Viewer
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.

Total Water Level and Coastal Change Forecast Viewer

Total Water Level and Coastal Change Forecast Viewer

Screenshot of Total Water Level and Coastal Change Forecast Viewer on June 4, 2016, two days before Tropical Storm Colin was expected to hit Florida’s Gulf of Mexico coast.

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.

Total Water Level and Coastal Change Forecast Viewer

Total Water Level and Coastal Change Forecast Viewer

Screenshot of Total Water Level and Coastal Change Forecast Viewer on June 4, 2016, two days before Tropical Storm Colin was expected to hit Florida’s Gulf of Mexico coast.

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Filter Total Items: 41

Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts

Predictions of total water levels, the elevation of combined tides, surge, and wave runup at the shoreline, are necessary to provide guidance on potential coastal erosion and flooding. Despite the importance of early warning systems for these hazards, existing real-time meteorological and oceanographic forecast systems at regional and national scales, until now, have lacked estimates of runup nece
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Hilary F Stockdon, Joseph W. Long, Margaret Louise Palmsten, Andre Van der Westhuysen, Kara S. Doran, Richard J. Snell
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Simulating wave runup on an intermediate–reflective beach using a wave-resolving and a wave-averaged version of XBeach

The prediction of wave runup, as well as its components, time-averaged setup and the time-varying swash, is a key element of coastal storm hazard assessments, as wave runup controls the transitions between morphodynamic response types such as dune erosion and overwash, and the potential for flooding by wave overtopping. While theoretically able to simulate the dominant low-frequency swash, previou
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A.F. de beer, R.T. McCall, Joseph W. Long, M.F.S. Tissier, A.J.H.M. Reniers
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

The roles of storminess and sea level rise in decadal barrier island evolution

Models of alongshore sediment transport during quiescent conditions, storm‐driven barrier island morphology, and poststorm dune recovery are integrated to assess decadal barrier island evolution under scenarios of increased sea levels and variability in storminess (intensity and frequency). Model results indicate barrier island response regimes of keeping pace, narrowing, flattening, deflation (na
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Davina Passeri, P. Soupy Dalyander, Joseph W. Long, Rangley C. Mickey, Robert L. Jenkins, David M. Thompson, Nathaniel G. Plant, Elizabeth Godsey, Victor Gonzalez
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Development of a modeling framework for predicting decadal barrier island evolution

Predicting the decadal evolution of barrier island systems is important for coastal managers who propose restoration or preservation alternatives aimed at increasing the resiliency of the island and its associated habitats or communities. Existing numerical models for simulating morphologic changes typically include either long-term (for example, longshore transport under quiescent conditions) or
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Rangley C. Mickey, Joseph W. Long, P. Soupy Dalyander, Robert L. Jenkins, David M. Thompson, Davina Passeri, Nathaniel G. Plant
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

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 s
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Rangley C. Mickey, Elizabeth Godsey, P. Soupy Dalyander, Victor Gonzalez, Robert L. Jenkins, Joseph W. Long, David M. Thompson, Nathaniel G. Plant
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Development of a process-based littoral sediment transport model for Dauphin Island, Alabama

Dauphin Island, Alabama, located in the Northern Gulf of Mexico just outside of Mobile Bay, is Alabama’s only barrier island and provides an array of historical, natural, and economic resources. The dynamic island shoreline of Dauphin Island evolved across time scales while constantly acted upon by waves and currents during both storms and calm periods. Reductions in the vulnerability and enhancem
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Robert L. Jenkins, Joseph W. Long, P. Soupy Dalyander, David M. Thompson, Rangley C. Mickey
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Forecasting future beach width- A case study along the Florida Atlantic coast

Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat,
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Joseph W. Long, Rachel E. Henderson, David M. Thompson
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Event and decadal-scale modeling of barrier island restoration designs for decision support

An interdisciplinary project team was convened to develop a modeling framework that simulates the potential impacts of storms and sea level-rise to habitat availability at Breton Island, Louisiana (Breton) for existing conditions and potential future restoration designs. The model framework was iteratively developed through evaluation of model results at multiple checkpoints. A methodology was dev
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Joseph W. Long, P. Soupy Dalyander, Michael Poff, Brian Spears, Brett Borne, David M. Thompson, Rangley C. Mickey, Steve Dartez, Gregory Gandy
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Hurricane Matthew: Predictions, observations, and an analysis of coastal change

Hurricane Matthew, the strongest Atlantic hurricane of the 2016 hurricane season, made land-fall south of McClellanville, S.C., around 1500 Coordinated Universal Time (UTC) on October 8, 2016. Hurricane Matthew affected the States of Florida, Georgia, South Carolina, and North Carolina along the U.S. Atlantic coastline. Numerous barrier islands were breached, and the erosion of beaches and dunes o
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Justin J. Birchler, Kara S. Doran, Joseph W. Long, Hilary F. Stockdon
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Toward a national coastal hazard forecast of total water levels

Storm surge and large waves combine to erode beaches, cause marsh and coral decay, and inundate low-elevation areas, resulting in hazards to coastal communities and loss of natural resources. The USGS, in collaboration with NOAA, is developing a real-time system to provide ∼ 6-day forecasts of total water levels (TWLs) combining tides, storm surge, and wave runup. TWL is compared with dune elevati
Authors
Alfredo Aretxabaleta, Kara S. Doran, Joseph W. Long, Li H. Erikson
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Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center

Assessing the impact of open-ocean and back-barrier shoreline change on Dauphin Island, Alabama, at multiple time scales over the last 75 years

Dauphin Island and Little Dauphin Island, collectively, make up a geomorphically complex barrier island system located along Alabama’s southern coast, separating Mississippi Sound from the Gulf of Mexico and Mobile Bay. The barrier island system provides numerous economical (tourism, fisheries) and natural (habitat for migratory birds, natural protection of inland and coastal areas from storms) be
Authors
Christopher G. Smith, Joseph W. Long, Rachel E. Henderson, Paul R. Nelson
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Hydrodynamics and sediment mobility processes over a degraded senile coral reef

Coral reefs can influence hydrodynamics and morphodynamics by dissipating and refracting incident wave energy, modifying circulation patterns, and altering sediment transport pathways. In this study, the sediment and hydrodynamic response of a senile (dead) barrier reef (Crocker Reef, located in the upper portion of the Florida Reef Tract) to storms and quiescent conditions was evaluated using fie

Authors
Legna M. Torres-Garcia, P. Soupy Dalyander, Joseph W. Long, David G. Zawada, Kimberly K. Yates, Christopher Moore, Maitane Olabarrieta
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Non-USGS Publications**

Long, J. W., and H. T. Özkan-Haller, 2009, Low-frequency characteristics of wave group–forced vortices, J. Geophys. Res., 114, C08004, doi:10.1029/2008JC004894.
Scott, C.P., Cox, D.T., Maddux, T.B., and Long, J.W., 2005, Large-scale laboratory observations of turbulence on a fixed barred beach: Measurement Science and Technology, v. 16, p. 1903, doi: 10.1088/0957-0233/16/10/004.
Long, J. W., and H. T. Özkan-Haller, 2005, Offshore controls on nearshore rip currents, J. Geophys. Res., 110, C12007, doi:10.1029/2005JC003018.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Waves and surge from Subtropical Storm Alberto will impact Gulf Coast beaches

Waves and surge from Subtropical Storm Alberto will impact Gulf Coast beaches

Potential coastal change impacts due to Alberto.

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Hurricane Nate Will Affect Most Gulf Beaches, USGS Projects

Hurricane Nate Will Affect Most Gulf Beaches, USGS Projects

Editor’s note: This story was updated at 2 pm Saturday, October 7. For the latest graphic showing USGS predictions of the sandy coastal areas likely...

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Hurricane Maria expected to alter North Carolina, Virginia and Maryland Beaches

Hurricane Maria expected to alter North Carolina, Virginia and Maryland Beaches

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Maria, visit the USGS Hurricane Maria page at h...

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Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Harvey, visit the USGS Hurricane Harvey page.

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Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Harvey, visit the USGS Hurricane Harvey page.

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Scientists Prepare for Hurricane Season with New Tools and Data that Advance Forecasting of Storm Impacts

Scientists Prepare for Hurricane Season with New Tools and Data that Advance Forecasting of Storm Impacts

As hurricane season officially begins, scientists with the USGS National Assessment of Coastal Change Hazards (NACCH) project are ready to provide...

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Before-and-After Photos: SE Beach Dunes Lost to Hurricane Matthew

Before-and-After Photos: SE Beach Dunes Lost to Hurricane Matthew

These figures are derived from USGS experts' preliminary review of USGS low-altitude before-and-after images along the coast and NOAA photographs...

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Before and After Photos: SE Beach Dunes Lost to Hurricane Matthew

Before and After Photos: SE Beach Dunes Lost to Hurricane Matthew

New low-altitude aerial photos of Southeastern beaches taken before and after Hurricane Matthew passed offshore show a new storm-cut inlet, and roads...

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This hurricane season, scientists bring wave action into the picture

This hurricane season, scientists bring wave action into the picture

New USGS models help predict storm effects on beaches

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This hurricane season, scientists bring wave action into the picture

This hurricane season, scientists bring wave action into the picture

New USGS models help predict storm effects on beaches

As the 2016 hurricane season opens, weather forecasters, emergency managers and coastal residents...

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Science and Products

Filter Total Items: 13
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View of beach from roof top, edge of roof in foreground, pier extending from beach out over water in center, park in background.

Remote Sensing Coastal Change

We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Big Sur Landslides
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Remote Sensing Coastal Change

We use remote-sensing technologies—such as aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)—to measure coastal change along U.S. shorelines.
Learn More
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2014-08_Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat_

Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat at Breton Island National Wildlife Refuge

Breton Island, located at the southern end of the Chandeleur Islands, Louisiana, is part of the Breton National Wildlife Refuge (NWR) established in 1904 by Theodore Roosevelt. Breton NWR is recognized as a globally important bird habitat because of the resources it provides, and hosts one of Louisiana's largest historical brown pelican nesting colonies. Without actions to restore sand to the...
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Ecosystems Mission Area, Natural Hazards Mission Area, St. Petersburg Coastal and Marine Science Center, Wetland and Aquatic Research Center , Gulf of Mexico
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Integrating Mapping and Modeling to Support the Restoration of Bird Nesting Habitat at Breton Island National Wildlife Refuge

Breton Island, located at the southern end of the Chandeleur Islands, Louisiana, is part of the Breton National Wildlife Refuge (NWR) established in 1904 by Theodore Roosevelt. Breton NWR is recognized as a globally important bird habitat because of the resources it provides, and hosts one of Louisiana's largest historical brown pelican nesting colonies. Without actions to restore sand to the...
Learn More
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Probabilities of coastal erosion - Tropical Storm Colin

Tropical Storm Colin - Forecast of Coastal Change

Forecast of coastal change for Tropical Storm Colin.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
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Tropical Storm Colin - Forecast of Coastal Change

Forecast of coastal change for Tropical Storm Colin.
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Potential coastal change impacts for Hurricane Joaquin - Oct. 4, 2015

Hurricane Joaquin - Forecast and Documentation of Coastal Change

Hurricane Joaquin coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
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Hurricane Joaquin - Forecast and Documentation of Coastal Change

Hurricane Joaquin coastal change forecast and pre- and post-storm photos documenting coastal change.
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Potential coastal change impacts for Hurricane Sandy - Oct. 29, 2012

Hurricane Sandy - Forecast and Documentation of Coastal Change

Hurricane Sandy coastal change forecast and pre- and post-storm photos documenting coastal change.
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St. Petersburg Coastal and Marine Science Center, Hurricane Sandy
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Hurricane Sandy - Forecast and Documentation of Coastal Change

Hurricane Sandy coastal change forecast and pre- and post-storm photos documenting coastal change.
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tential coastal change impacts for Hurricane Matthew - Oct. 7, 2016

Hurricane Matthew - Forecast and Documentation of Coastal Change

Hurricane Matthew coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Matthew
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Hurricane Matthew - Forecast and Documentation of Coastal Change

Hurricane Matthew coastal change forecast and pre- and post-storm photos documenting coastal change.
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Photo Highlighting Predicted Erosion and Inundation areas in Texas

Hurricane Harvey - Forecast and Documentation of Coastal Change

Hurricane Harvey coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Harvey
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Hurricane Harvey - Forecast and Documentation of Coastal Change

Hurricane Harvey coastal change forecast and pre- and post-storm photos documenting coastal change.
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Hurricane Irma-response page intro slide

Hurricane Irma - Forecast and Documentation of Coastal Change

Hurricane Irma coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico, Hurricane Irma, Hurricanes
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Hurricane Irma - Forecast and Documentation of Coastal Change

Hurricane Irma coastal change forecast and pre- and post-storm photos documenting coastal change.
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Potential coastal change impacts for Hurricane Nate - Oct. 7, 2017

Hurricane Nate - Forecast and Documentation of Coastal Change

Hurricane Nate coastal change forecast and pre- and post-storm photos documenting coastal change.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Nate
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Hurricane Nate - Forecast and Documentation of Coastal Change

Hurricane Nate coastal change forecast and pre- and post-storm photos documenting coastal change.
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Schematic describing a methodology to integrate short-term and long-term shoreline position processes to generate predictions of

Integration of Processes over Different Spatial and Temporal Scales

This research uses state-of-the-art observations, numerical models, and model-data assimilation techniques to better understand their cumulative effect on coastal change.
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Coastal and Marine Hazards and Resources Program
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Integration of Processes over Different Spatial and Temporal Scales

This research uses state-of-the-art observations, numerical models, and model-data assimilation techniques to better understand their cumulative effect on coastal change.
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Photo of a coastal cliff with an apartment building right at the edge of the cliff.

National Assessment of Coastal Change Hazards

Research to identify areas that are most vulnerable to coastal change hazards including beach and dune erosion, long-term shoreline change, and sea-level rise.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center, Gulf of Mexico, Hurricane Harvey, Hurricane Irma, Hurricane Jose, Hurricane Maria, Hurricane Matthew, Hurricane Sandy
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National Assessment of Coastal Change Hazards

Research to identify areas that are most vulnerable to coastal change hazards including beach and dune erosion, long-term shoreline change, and sea-level rise.
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Aerial photograph looking west along Dauphin Island, Alabama, taken in September 2016.

Alabama Barrier Island Restoration Study

Scientists are collecting geologic data and developing a numerical model framework to understand the evolution of Dauphin Island over the last 15-20 years and assess the future evolution of the island over the next 15-50 years, including the impacts of potential restoration scenarios.
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Natural Hazards Mission Area, Environmental Health Program, St. Petersburg Coastal and Marine Science Center
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Alabama Barrier Island Restoration Study

Scientists are collecting geologic data and developing a numerical model framework to understand the evolution of Dauphin Island over the last 15-20 years and assess the future evolution of the island over the next 15-50 years, including the impacts of potential restoration scenarios.
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Filter Total Items: 17

Beach Profile Data Collected from Madeira Beach, Florida

This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides beach profile data collected at Madeira Beach, Florida. Data were collected by a walking person equipped with a Global Positioning System receiver and a GPS antenna affixed to a surveying backpack. The horizontal position data are given in the Universal Transverse Mercator (UTM) projecte
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Lidar-derived Beach Morphology (Dune Crest, Dune Toe, and Shoreline) for U.S. Sandy Coastlines

The U.S. Geological Survey (USGS) National Assessment of Coastal Change Hazards (NACCH) project aims to identify areas of the nation's coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here, organized by individual fiel
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Mobile Harbor Navigation Channel Delft3D Model Inputs and Results

The Delft3D model inputs and outputs of bed levels resulting from the simulations of proposed navigation channel deepening and widening in Mobile Harbor, Alabama, as described in USGS Open-File Report 2018-1123, are provided here. For further information regarding model input generation and visualization of model output elevations, refer to USGS Open-File Report 2018-1123.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Dauphin Island Storms and Sea Level Rise Assessment: XBeach Model Inputs and Results

XBeach was used to simulate hurricanes Ivan (2004) and Katrina (2005) at Dauphin Island, Alabama, under present-day conditions and future sea level rise (SLR) scenarios as described in Passeri and others, 2018. Model inputs and outputs in the form of topography and bathymetry are provided here. For further information regarding model input generation and visualization of model output topography an
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

XBeach Bottom Friction Scenarios: Model Inputs and Results

Various bottom friction scenarios were simulated for hurricanes Ivan and Katrina at Dauphin Island, AL, using XBeach, as described in Passeri and others, 2017. Model inputs and outputs in the form of topography are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry, refer to Passeri and others, 2017. Passeri, D.L., L
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Wave Scenario Results of Proposed Sediment Borrow Pit 3 on the Nearshore Wave Climate of Breton Island, LA

Provided here are the SWAN wave model input of grid 4 with pit 3 configuration and output of significant wave height, dominant wave period, and mean wave direction resulting from simulation of wave scenarios at the Breton Island, LA, as described in USGS Open-File Report 2015-1055 (https://doi.org/10.3133/ofr20151055). There are 128 individual scenarios that are based on significant wave height (H
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Vector Shorelines and Associated Shoreline Change Rates Derived from Lidar and Aerial Imagery for Dauphin Island, Alabama: 1940-2015

In support of studies and assessments of barrier island evolution in the Gulf of Mexico, rates of shoreline change for Dauphin Island, Alabama, were calculated using two different shoreline proxy datasets with a total temporal span of 75 years. Mean High Water line (MHW) shorelines were generated from 14 lidar datasets from 1998 to 2014, and Wet Dry Line (WDL) shorelines were digitized from ten s
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Laboratory Observations of Artificial Sand and Oil Agglomerates Video and Velocity Data

The U.S. Geological Survey conducted experiments during March of 2014 to expand the available data on sand and oil agglomerate motion; test shear stress based incipient motion parameterizations in a controlled, laboratory setting; and directly observe sand and oil agglomerate exhumation and burial processes. Experiments were carried out at the Naval Research Laboratory, Stennis Space Center, Stenn
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Hurricane Matthew Overwash Extents

The National Assessment of Coastal Change Hazards project exists to understand and predict storm impacts to our nation's coastlines. This data defines the alongshore extent of overwash deposits attributed to coastal processes during Hurricane Matthew.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Hurricane Matthew

EAARL Coastal Topography-Chandeleur Islands, Post-Hurricane Katrina, 2005

These datasets, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provide lidar-derived first-surface and bare-earth topography for the Chandeleur Islands, Louisiana. Elevation measurements were acquired by the Experimental Advanced Airborne Research Lidar (EAARL) on September 1?4, 2005, immediately following Hurricane Katrina's landfall.
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Storm-Impact Scenario XBeach Model Inputs and Results

The XBeach model input and output of topography and bathymetry resulting from simulation of storm-impact scenarios at the Chandeleur Islands, LA, as described in USGS Open-File Report 2017-1009 (https://doi.org/10.3133/ofr20171009), are provided here. For further information regarding model input generation and visualization of model output topography and bathymetry refer to USGS Open-File Report
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

EAARL Coastal Topography-Louisiana, Mississippi and Alabama, March 2006

This dataset, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provides first and last return elevation data collected during a March 14-15, 2006 airborne lidar survey for the Chandeleur Islands, Louisiana, and Ship Island, Mississippi through Orange Beach, Alabama. Elevation measurements were collected over the area using the National Aeronautics and Space
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.
Total Water Level and Coastal Change Forecast Viewer
Total Water Level and Coastal Change Forecast Viewer
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.

Total Water Level and Coastal Change Forecast Viewer

Total Water Level and Coastal Change Forecast Viewer

Screenshot of Total Water Level and Coastal Change Forecast Viewer on June 4, 2016, two days before Tropical Storm Colin was expected to hit Florida’s Gulf of Mexico coast.

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Left: Map of Tampa Bay area and Gulf of Mexico. Colored balloons along shore. Right: total-water-level graph (top) and diagram.

Total Water Level and Coastal Change Forecast Viewer

Total Water Level and Coastal Change Forecast Viewer

Screenshot of Total Water Level and Coastal Change Forecast Viewer on June 4, 2016, two days before Tropical Storm Colin was expected to hit Florida’s Gulf of Mexico coast.

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center
Filter Total Items: 41

Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts

Predictions of total water levels, the elevation of combined tides, surge, and wave runup at the shoreline, are necessary to provide guidance on potential coastal erosion and flooding. Despite the importance of early warning systems for these hazards, existing real-time meteorological and oceanographic forecast systems at regional and national scales, until now, have lacked estimates of runup nece
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Hilary F Stockdon, Joseph W. Long, Margaret Louise Palmsten, Andre Van der Westhuysen, Kara S. Doran, Richard J. Snell
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Simulating wave runup on an intermediate–reflective beach using a wave-resolving and a wave-averaged version of XBeach

The prediction of wave runup, as well as its components, time-averaged setup and the time-varying swash, is a key element of coastal storm hazard assessments, as wave runup controls the transitions between morphodynamic response types such as dune erosion and overwash, and the potential for flooding by wave overtopping. While theoretically able to simulate the dominant low-frequency swash, previou
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A.F. de beer, R.T. McCall, Joseph W. Long, M.F.S. Tissier, A.J.H.M. Reniers
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

The roles of storminess and sea level rise in decadal barrier island evolution

Models of alongshore sediment transport during quiescent conditions, storm‐driven barrier island morphology, and poststorm dune recovery are integrated to assess decadal barrier island evolution under scenarios of increased sea levels and variability in storminess (intensity and frequency). Model results indicate barrier island response regimes of keeping pace, narrowing, flattening, deflation (na
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Davina Passeri, P. Soupy Dalyander, Joseph W. Long, Rangley C. Mickey, Robert L. Jenkins, David M. Thompson, Nathaniel G. Plant, Elizabeth Godsey, Victor Gonzalez
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Development of a modeling framework for predicting decadal barrier island evolution

Predicting the decadal evolution of barrier island systems is important for coastal managers who propose restoration or preservation alternatives aimed at increasing the resiliency of the island and its associated habitats or communities. Existing numerical models for simulating morphologic changes typically include either long-term (for example, longshore transport under quiescent conditions) or
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Rangley C. Mickey, Joseph W. Long, P. Soupy Dalyander, Robert L. Jenkins, David M. Thompson, Davina Passeri, Nathaniel G. Plant
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

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 s
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Rangley C. Mickey, Elizabeth Godsey, P. Soupy Dalyander, Victor Gonzalez, Robert L. Jenkins, Joseph W. Long, David M. Thompson, Nathaniel G. Plant
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Development of a process-based littoral sediment transport model for Dauphin Island, Alabama

Dauphin Island, Alabama, located in the Northern Gulf of Mexico just outside of Mobile Bay, is Alabama’s only barrier island and provides an array of historical, natural, and economic resources. The dynamic island shoreline of Dauphin Island evolved across time scales while constantly acted upon by waves and currents during both storms and calm periods. Reductions in the vulnerability and enhancem
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Robert L. Jenkins, Joseph W. Long, P. Soupy Dalyander, David M. Thompson, Rangley C. Mickey
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Forecasting future beach width- A case study along the Florida Atlantic coast

Historical cross-shore positions of the shoreline and dune base were used as inputs for a Kalman filter algorithm to forecast the positions of these features in the year 2028. The beach width was also computed as the cross-shore distance between the forecasted 2028 shoreline and dune-base positions. While it does not evaluate the suitability of a nesting beach or identify optimal nesting habitat,
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Joseph W. Long, Rachel E. Henderson, David M. Thompson
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Event and decadal-scale modeling of barrier island restoration designs for decision support

An interdisciplinary project team was convened to develop a modeling framework that simulates the potential impacts of storms and sea level-rise to habitat availability at Breton Island, Louisiana (Breton) for existing conditions and potential future restoration designs. The model framework was iteratively developed through evaluation of model results at multiple checkpoints. A methodology was dev
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Joseph W. Long, P. Soupy Dalyander, Michael Poff, Brian Spears, Brett Borne, David M. Thompson, Rangley C. Mickey, Steve Dartez, Gregory Gandy
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Hurricane Matthew: Predictions, observations, and an analysis of coastal change

Hurricane Matthew, the strongest Atlantic hurricane of the 2016 hurricane season, made land-fall south of McClellanville, S.C., around 1500 Coordinated Universal Time (UTC) on October 8, 2016. Hurricane Matthew affected the States of Florida, Georgia, South Carolina, and North Carolina along the U.S. Atlantic coastline. Numerous barrier islands were breached, and the erosion of beaches and dunes o
Authors
Justin J. Birchler, Kara S. Doran, Joseph W. Long, Hilary F. Stockdon
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Toward a national coastal hazard forecast of total water levels

Storm surge and large waves combine to erode beaches, cause marsh and coral decay, and inundate low-elevation areas, resulting in hazards to coastal communities and loss of natural resources. The USGS, in collaboration with NOAA, is developing a real-time system to provide ∼ 6-day forecasts of total water levels (TWLs) combining tides, storm surge, and wave runup. TWL is compared with dune elevati
Authors
Alfredo Aretxabaleta, Kara S. Doran, Joseph W. Long, Li H. Erikson
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Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center

Assessing the impact of open-ocean and back-barrier shoreline change on Dauphin Island, Alabama, at multiple time scales over the last 75 years

Dauphin Island and Little Dauphin Island, collectively, make up a geomorphically complex barrier island system located along Alabama’s southern coast, separating Mississippi Sound from the Gulf of Mexico and Mobile Bay. The barrier island system provides numerous economical (tourism, fisheries) and natural (habitat for migratory birds, natural protection of inland and coastal areas from storms) be
Authors
Christopher G. Smith, Joseph W. Long, Rachel E. Henderson, Paul R. Nelson
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center, Gulf of Mexico

Hydrodynamics and sediment mobility processes over a degraded senile coral reef

Coral reefs can influence hydrodynamics and morphodynamics by dissipating and refracting incident wave energy, modifying circulation patterns, and altering sediment transport pathways. In this study, the sediment and hydrodynamic response of a senile (dead) barrier reef (Crocker Reef, located in the upper portion of the Florida Reef Tract) to storms and quiescent conditions was evaluated using fie

Authors
Legna M. Torres-Garcia, P. Soupy Dalyander, Joseph W. Long, David G. Zawada, Kimberly K. Yates, Christopher Moore, Maitane Olabarrieta
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Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center

Non-USGS Publications**

Long, J. W., and H. T. Özkan-Haller, 2009, Low-frequency characteristics of wave group–forced vortices, J. Geophys. Res., 114, C08004, doi:10.1029/2008JC004894.
Scott, C.P., Cox, D.T., Maddux, T.B., and Long, J.W., 2005, Large-scale laboratory observations of turbulence on a fixed barred beach: Measurement Science and Technology, v. 16, p. 1903, doi: 10.1088/0957-0233/16/10/004.
Long, J. W., and H. T. Özkan-Haller, 2005, Offshore controls on nearshore rip currents, J. Geophys. Res., 110, C12007, doi:10.1029/2005JC003018.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Waves and surge from Subtropical Storm Alberto will impact Gulf Coast beaches

Waves and surge from Subtropical Storm Alberto will impact Gulf Coast beaches

Potential coastal change impacts due to Alberto.

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Hurricane Nate Will Affect Most Gulf Beaches, USGS Projects

Hurricane Nate Will Affect Most Gulf Beaches, USGS Projects

Editor’s note: This story was updated at 2 pm Saturday, October 7. For the latest graphic showing USGS predictions of the sandy coastal areas likely...

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Hurricane Maria expected to alter North Carolina, Virginia and Maryland Beaches

Hurricane Maria expected to alter North Carolina, Virginia and Maryland Beaches

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Maria, visit the USGS Hurricane Maria page at h...

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Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Harvey, visit the USGS Hurricane Harvey page.

UP...

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Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

Many Texas Beaches Likely to Erode, Be Overwashed, or Inundated by Hurricane Harvey

To learn more about USGS’ role providing science to decision makers before, during and after Hurricane Harvey, visit the USGS Hurricane Harvey page.

UP...

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Scientists Prepare for Hurricane Season with New Tools and Data that Advance Forecasting of Storm Impacts

Scientists Prepare for Hurricane Season with New Tools and Data that Advance Forecasting of Storm Impacts

As hurricane season officially begins, scientists with the USGS National Assessment of Coastal Change Hazards (NACCH) project are ready to provide...

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Before-and-After Photos: SE Beach Dunes Lost to Hurricane Matthew

Before-and-After Photos: SE Beach Dunes Lost to Hurricane Matthew

These figures are derived from USGS experts' preliminary review of USGS low-altitude before-and-after images along the coast and NOAA photographs...

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Before and After Photos: SE Beach Dunes Lost to Hurricane Matthew

Before and After Photos: SE Beach Dunes Lost to Hurricane Matthew

New low-altitude aerial photos of Southeastern beaches taken before and after Hurricane Matthew passed offshore show a new storm-cut inlet, and roads...

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This hurricane season, scientists bring wave action into the picture

This hurricane season, scientists bring wave action into the picture

New USGS models help predict storm effects on beaches

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This hurricane season, scientists bring wave action into the picture

This hurricane season, scientists bring wave action into the picture

New USGS models help predict storm effects on beaches

As the 2016 hurricane season opens, weather forecasters, emergency managers and coastal residents...

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