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Patrick Barnard

Patrick is the Research Director for the Climate Impacts and Coastal Processes Team, which includes overseeing the development and application of the Coastal Storm Modeling System (CoSMoS), coastal monitoring and process-based studies of beaches across California, and research investigating the link between climate variability and coastal hazards across the Pacific Ocean basin.

 

Dr. Patrick Barnard has been a coastal geologist with the USGS Pacific Coastal and Marine Science Center in Santa Cruz since 2003, and is the Research Director of the Climate Impacts and Coastal Processes Team. His research focuses on storm- and climate-related changes to the beaches and estuaries bordering the Pacific Ocean. His research has been published in over 80 peer-reviewed scientific papers, including Nature, and presented over 100 times at scientific conferences and universities. He serves on numerous regional, national and international scientific review panels related to climate change and coastal hazards. He received a BA from Williams College, MS from University of South Florida, and PhD from UC Riverside.

 

Science and Products

Filter Total Items: 15
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High coastal arctic bluff with broken chunks, some that are ready to fall into the crashing waves, and some that have fallen.

Coastal Climate Impacts

The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Coastal Climate Impacts

The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
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Aerial view of coastal bluffs, marine terrace with farmland, beach in distance with lagoon, highway runs along coast.

Dynamic coastlines along the western U.S.

The west coast of the United States is extremely complex and changeable because of tectonic activity, mountain building, and land subsidence. These active environments pose a major challenge for accurately assessing climate change impacts, since models were historically developed for more passive sandy coasts.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Big Sur Landslides, Subduction Zone Science
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Dynamic coastlines along the western U.S.

The west coast of the United States is extremely complex and changeable because of tectonic activity, mountain building, and land subsidence. These active environments pose a major challenge for accurately assessing climate change impacts, since models were historically developed for more passive sandy coasts.
Learn More
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Gentle river waters near grassy cliff in foreground, with a beach, and an amusement park in background, other buildings afar.

Climate impacts on Monterey Bay area beaches

For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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Climate impacts on Monterey Bay area beaches

For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
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Satellite image of study area, showing forests, a bay or inlet, and estuaries and rivers.

PS-CoSMoS: Puget Sound Coastal Storm Modeling System

The CoSMoS model is currently available for most of the California coast and is now being expanded to support the 4.5 million coastal residents of the Puget Sound region, with emphasis on the communities bordering the sound.
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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PS-CoSMoS: Puget Sound Coastal Storm Modeling System

The CoSMoS model is currently available for most of the California coast and is now being expanded to support the 4.5 million coastal residents of the Puget Sound region, with emphasis on the communities bordering the sound.
Learn More
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An interactive mapping application in which the user can choose parameters from the menus to create a computer model of flooding

Coastal Storm Modeling System (CoSMoS)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety...
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities
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Coastal Storm Modeling System (CoSMoS)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety...
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Two maps illustrate two states of computer modeling scenarios around a large bay and coastal area.

CoSMoS-Groundwater

The USGS Coastal Storm Modeling System (CoSMoS) team has extensively studied overland flooding and coastal change due to rising seas and storms. Interactions with coastal stakeholders have elucidated another important question; will rising seas also intrude into coastal aquifers and raise groundwater tables? The CoSMoS-Groundwater (CoSMoS-GW) modeling effort seeks to provide initial insight into...
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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CoSMoS-Groundwater

The USGS Coastal Storm Modeling System (CoSMoS) team has extensively studied overland flooding and coastal change due to rising seas and storms. Interactions with coastal stakeholders have elucidated another important question; will rising seas also intrude into coastal aquifers and raise groundwater tables? The CoSMoS-Groundwater (CoSMoS-GW) modeling effort seeks to provide initial insight into...
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Map of a western coastline with stretches of the coast labeled to identify data set regions.

CoSMoS 3.1: Central California

CoSMoS v3.1 for central California shows projections for future climate scenarios (sea-level rise and storms)
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
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CoSMoS 3.1: Central California

CoSMoS v3.1 for central California shows projections for future climate scenarios (sea-level rise and storms)
Learn More
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Map background with colored blocks drawn on top if it to depict data regions or study areas, each area is labeled with words.

CoSMoS 3.0: Southern California

CoSMoS 3.0 for southern California provides detailed predictions of coastal flooding due to both future sea-level rise and storms, integrated with predictions of long-term coastal evolution (beach changes and coastal cliff retreat) for the Southern California region, from Point Conception (Santa Barbara County) to Imperial Beach (San Diego County).
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Pacific Coastal and Marine Science Center
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CoSMoS 3.0: Southern California

CoSMoS 3.0 for southern California provides detailed predictions of coastal flooding due to both future sea-level rise and storms, integrated with predictions of long-term coastal evolution (beach changes and coastal cliff retreat) for the Southern California region, from Point Conception (Santa Barbara County) to Imperial Beach (San Diego County).
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Map shows the outline of a coastal area with a bay inlet and an outline along the coast showing a study area.

CoSMoS 2.2: Pt. Arena and Russian River

Building on the initial work in the Bay Area and Outer Coast, CoSMoS 2.2 adds river flows to help users project combined river and coastal flooding along the northern California coast from Bodega Head to Point Arena.
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Pacific Coastal and Marine Science Center
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CoSMoS 2.2: Pt. Arena and Russian River

Building on the initial work in the Bay Area and Outer Coast, CoSMoS 2.2 adds river flows to help users project combined river and coastal flooding along the northern California coast from Bodega Head to Point Arena.
Learn More
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Pulsating animation shows a bay and estuaries and changing water depth during two days' worth of tidal cycles.

CoSMoS 2.1: San Francisco Bay

With primary support from the National Estuarine Research Reserve (NERR), CoSMoS is set-up within the San Francisco Bay as part of Our Coast Our Future (OCOF).
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Pacific Coastal and Marine Science Center
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CoSMoS 2.1: San Francisco Bay

With primary support from the National Estuarine Research Reserve (NERR), CoSMoS is set-up within the San Francisco Bay as part of Our Coast Our Future (OCOF).
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Web browser screen showing an application with different parameters and controls on left and the resulting map on right.

CoSMoS 2.0: North-central California (outer coast)

Our Coast Our Future (OCOF) is a collaborative, user-driven project providing science-based decision-support tools to help coastal planners and emergency responders understand, visualize, and anticipate local impacts from sea-level rise (SLR) and storms in the San Francisco Bay region.
By
Pacific Coastal and Marine Science Center
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CoSMoS 2.0: North-central California (outer coast)

Our Coast Our Future (OCOF) is a collaborative, user-driven project providing science-based decision-support tools to help coastal planners and emergency responders understand, visualize, and anticipate local impacts from sea-level rise (SLR) and storms in the San Francisco Bay region.
Learn More
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Map shows the outline of a coastal area with a large bay inlet with two oval study areas demarcated in the north and south bay.

Operational CoSMoS model: San Francisco Bay

The San Francisco Bay Coastal Flood Forecast pilot project is an operational CoSMoS model, part of a project funded by the California Department of Water Resources (CA-DWR) and NOAA’s Earth System Research Laboratory (ESRL).
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Pacific Coastal and Marine Science Center
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Operational CoSMoS model: San Francisco Bay

The San Francisco Bay Coastal Flood Forecast pilot project is an operational CoSMoS model, part of a project funded by the California Department of Water Resources (CA-DWR) and NOAA’s Earth System Research Laboratory (ESRL).
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Filter Total Items: 17

Future coastal groundwater hazards in the Puget Sound region, Washington, U.S.A.

This data release contains model results for groundwater response to sea-level rise (SLR) in coastal areas around Puget Sound, Washington. The high resolution (50m) models predict steady-state unconfined groundwater heads under long-term (17y) average recharge conditions, with spatially variable hydraulic conductivities (Ks) from published models, and include model runs with Ks increased and decre
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Pacific Coastal and Marine Science Center

Coastal hazards assessment associated with sea level rise and storms along the Whatcom County, Northwest Washington State coast

This product contains several datasets that map exposure to future forecasted hazards related to coastal flooding and extreme wave heights accounting for sea level rise (SLR) and climate change along the Whatcom County coast of northwestern Washington State in the Salish Sea. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available science and storms account
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Pacific Coastal and Marine Science Center

Projections of shoreline change for California due to 21st century sea-level rise

This dataset contains projections of shoreline change and uncertainty bands across California for future scenarios of sea-level rise (SLR). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (S
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Pacific Coastal and Marine Science Center

Future coastal hazards along the U.S. Atlantic coast

This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms for three States (Florida, Georgia, and Virginia) along the Atlantic coast of the United States. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available science and with enough resolution to support a suite of different plann
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Pacific Coastal and Marine Science Center

Future coastal hazards along the U.S. North and South Carolina coasts

This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms along the North and South Carolina coast. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available, science and with enough resolution to support a suite of different planning horizons. The storm scenarios are derived with the
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Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 (ver. 1d, June 2023)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS 3.2 for Northern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planne
By
Pacific Coastal and Marine Science Center

Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of projected CMIP6 wind and sea ice fields

This dataset contains projected hourly time-series data of waves at distinct points along all open U.S. coasts for years 2020-2050. The 'projections' (estimates of long-term future conditions) were developed by running the National Oceanic and Atmospheric Administration's (NOAA) WAVEWATCHIII wave model forced with winds and sea ice cover from seven separate high-resolution Global Climate / General
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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Surveillance and reports of Brown Treesnakes on Saipan, 1980-2020

Available active surveillance efforts for Brown Treesnakes on the island of Saipan via nocturnal visual encounter surveys and trapping from 1999-2018 were collected and summarized into 3 csv files (TRAP1999, BTSRRTSaipanTRAP, and BTSRRTSaipanVISUAL). Location and date of non-confirmed reports of snakes 1982-2013 via passive surveillance were compiled into a fourth file (Saipan BTSSightings1980_202
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Fort Collins Science Center

Modeled extreme total water levels along the U.S. west coast

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Coastal Storm Modeling System (CoSMoS) for Central California, v3.1

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.1 for Central California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planne
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

California shorelines and shoreline change data, 1998-2016

This data release contains mean high water (MHW) shorelines along the coast of California for the years 1998/2002, 2015, and 2016, extracted from Light Detection and Ranging (LiDAR) digital elevation models using ArcGIS. The Digital Shoreline Analysis System (DSAS) was used to calculate net shoreline movement (NSM) between the pre-El Nino (2015) and post-El Nino (2016) shorelines, as a proxy for s
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Projected responses of the coastal water table for California using present-day and future sea-level rise scenarios

Coastal groundwater levels (heads) can increase with sea level rise (SLR) where shallow groundwater floats on underlying seawater. In some areas coastal groundwater could rise almost as much as SLR, but where rising groundwater intersects surface drainage features, the increase will be less. Numerical modeling can provide insight into coastal areas that may be more or less vulnerable to hazards as
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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Under the Golden Gate Bridge — Views of the sea floor near the entrance to San Francisco Bay, California

San Francisco Bay in Northern California is one of the largest and most altered estuaries within the United States. The sea floor within the bay as well as at its entrance is constantly changing due to strong tidal currents, aggregate mining, dredge disposal, and the creation of new land using artificial fill. Understanding this dynamic sea floor is critical for addressing local environmental issu
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Pacific Coastal and Marine Science Center
PubTalk 2/2011 — Is Our Coast in Jeopardy?
PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

-predicting the impact of extreme storms on the California Coast

By Patrick Barnard, USGS Pacific Coastal & Marine Science Center

 

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Communications and Publishing, Public Lecture Series

PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

-predicting the impact of extreme storms on the California Coast

By Patrick Barnard, USGS Pacific Coastal & Marine Science Center

 

By
Communications and Publishing, Public Lecture Series
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.
Mission Bay San Diego flooding scenario
Mission Bay San Diego flooding scenario
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.

Mission Bay San Diego flooding scenario

Mission Bay San Diego flooding scenario

Estimated coastal inundation (blue shading) at Mission Bay in San Diego, California, using the Coastal Storm Modeling System (CoSMoS) developed for ARkStorm. (From USGS Open-File Report 2010-1312.) 

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.

Mission Bay San Diego flooding scenario

Mission Bay San Diego flooding scenario

Estimated coastal inundation (blue shading) at Mission Bay in San Diego, California, using the Coastal Storm Modeling System (CoSMoS) developed for ARkStorm. (From USGS Open-File Report 2010-1312.) 

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Image: Severe Coastal Erosion During an El Niño Storm
Severe Coastal Erosion During an El Niño Storm
Severe Coastal Erosion During an El Niño Storm
Image: Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe coastal bluff erosion, along the southern end of Ocean Beach, San Francisco, California. This storm damage occurred during the 2009-2010 El Niño, which, on average, eroded the shoreline 55 meters that winter.

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Water Resources Mission Area, Pacific Coastal and Marine Science Center, Communications and Publishing
Image: Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe coastal bluff erosion, along the southern end of Ocean Beach, San Francisco, California. This storm damage occurred during the 2009-2010 El Niño, which, on average, eroded the shoreline 55 meters that winter.

By
Water Resources Mission Area, Pacific Coastal and Marine Science Center, Communications and Publishing
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.
Collecting Bathymetric Data in San Francisco Bay
Collecting Bathymetric Data in San Francisco Bay
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.

Collecting Bathymetric Data in San Francisco Bay

Collecting Bathymetric Data in San Francisco Bay

USGS scientists Patrick Barnard (left) and Jeff Hansen navigate personal watercraft equipped with GPS and echo sounders through the waters of San Francisco Bay. They are collecting bathymetric, or depth, information in order to create maps of the bottom of the Bay.

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Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, San Francisco Bay and Sacramento-San Joaquin Delta Estuary
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.

Collecting Bathymetric Data in San Francisco Bay

Collecting Bathymetric Data in San Francisco Bay

USGS scientists Patrick Barnard (left) and Jeff Hansen navigate personal watercraft equipped with GPS and echo sounders through the waters of San Francisco Bay. They are collecting bathymetric, or depth, information in order to create maps of the bottom of the Bay.

By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, San Francisco Bay and Sacramento-San Joaquin Delta Estuary
Two people on jet skis in the water with a large suspension bridge in the background.
Bathymetric survey on jet skis
Bathymetric survey on jet skis
Two people on jet skis in the water with a large suspension bridge in the background.

Bathymetric survey on jet skis

Bathymetric survey on jet skis

USGS researchers Patrick Barnard and Jeff Hansen surveying the bathymetry offshore of Crissy Field in San Francisco, California, on October 26, 2007. They are using the Coastal Profiling System—personal watercraft equipped with echo sounders and kinematic Global Positioning System (GPS) units. The Golden Gate Bridge is in the background.

By
Pacific Coastal and Marine Science Center, Pacific Coastal and Marine Science Center
Two people on jet skis in the water with a large suspension bridge in the background.

Bathymetric survey on jet skis

Bathymetric survey on jet skis

USGS researchers Patrick Barnard and Jeff Hansen surveying the bathymetry offshore of Crissy Field in San Francisco, California, on October 26, 2007. They are using the Coastal Profiling System—personal watercraft equipped with echo sounders and kinematic Global Positioning System (GPS) units. The Golden Gate Bridge is in the background.

By
Pacific Coastal and Marine Science Center, Pacific Coastal and Marine Science Center
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.
Studying Surf-Zone Hydrodynamics
Studying Surf-Zone Hydrodynamics
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.

Studying Surf-Zone Hydrodynamics

Studying Surf-Zone Hydrodynamics

USGS scientists Andrew Schwartz and Dan Hanes maneuver a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, on the west side of San Francisco, California. Beach erosion has been a continuing problem in this area.

By
Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.

Studying Surf-Zone Hydrodynamics

Studying Surf-Zone Hydrodynamics

USGS scientists Andrew Schwartz and Dan Hanes maneuver a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, on the west side of San Francisco, California. Beach erosion has been a continuing problem in this area.

By
Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.
Homes along the edge of the coast in Isla Vista, California
Homes along the edge of the coast in Isla Vista, California
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California, Santa Barbara County, face a short lifespan because of eroding bluffs that support them.

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California, Santa Barbara County, face a short lifespan because of eroding bluffs that support them.

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Filter Total Items: 126

State of California sea level rise guidance: 2024 Science and policy update

No abstract available.
Authors
Susheel Adusumilli, Patrick L. Barnard, Daniel R. Cayan, Laura Engeman, Gary B. Griggs, Benjamin D. Hamlington, Kristina Hill, Felix Landerer, Phillip Thompson
By
Pacific Coastal and Marine Science Center

Tropical or extratropical cyclones: What drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?

Subtropical coastlines are impacted by both tropical and extratropical cyclones. While both may lead to substantial damage to coastal communities, it is difficult to determine the contribution of tropical cyclones to coastal flooding relative to that of extratropical cyclones. We conduct a large-scale flood hazard and impact assessment across the subtropical Southeast Atlantic Coast of the United
Authors
Kees Nederhoff, Tim Leijnse, Kai Alexander Parker, Jennifer Anne Thomas, Andrea O'Neill, Maarten van Ormondt, Robert T. McCall, Li H. Erikson, Patrick L. Barnard, Amy C. Foxgrover, Wouter Klessens, Norberto C. Nadal-Caraballo, Chris Massey
By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities, Hurricanes

The value of marsh restoration for flood risk reduction in an urban estuary

The use of nature-based solutions (NBS) for coastal climate adaptation has broad and growing interest, but NBS are rarely assessed with the same rigor as traditional engineering solutions or with respect to future climate change scenarios. These gaps pose challenges for the use of NBS for climate adaptation. Here, we value the flood protection benefits of stakeholder-identified marsh restoration u
Authors
Rae M. Taylor-Burns, Chris Lowrie, Babak Tehranirad, Jeremy Lowe, Li H. Erikson, Patrick L. Barnard, Borja G. Reguero, Michael W. Beck
By
Pacific Coastal and Marine Science Center

Advanced quantitative precipitation information: Improving monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area

Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay Area. As an experimental system, AQPI leverages more than a decade of research, innovation, and implementation of a statewide, state-of-the-art network of observations, a
Authors
Robert Cifelli, V Chandrasekar, Liv M. Herdman, Dave Turner, A. B. White, M. Alcott, M. C. Anderson, Patrick L. Barnard, S.K. Biswas, M. Boucher, J. Bytheway, H. Chen, H. Cutler, M. English, Li H. Erikson, F. Junyent, L. E. Johnson, J. Krebs, J. van de Lindt, J. Kim, Marty L. Leonard, Y. Ma, M. Marquis, W. Moninger, G. Pratt, C. Radhakrishnan, Michael Shields, J. Spaulding, Babak Tehranirad, R. S. Webb
By
Pacific Coastal and Marine Science Center

Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)

The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flooding over large geographic areas (100 s of kilometers) at high spatial resolutions (1 m) pertinent to coastal hazard assessments and planning. Th
Authors
Kees Nederhoff, Sean C. Crosby, Nathan R. vanArendonk, Eric E. Grossman, Babak Tehranirad, T. Leijnse, W. Klessens, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Slowly but surely: Exposure of communities and infrastructure to subsidence on the US east coast

Coastal communities are vulnerable to multihazards, which are exacerbated by land subsidence. On the US east coast, the high density of population and assets amplifies the region's exposure to coastal hazards. We utilized measurements of vertical land motion rates obtained from analysis of radar datasets to evaluate the subsidence-hazard exposure to population, assets, and infrastructure systems/f
Authors
Leonard O. Ohenhen, Manoochehr Shirzaei, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Modeling extreme water levels in the Salish Sea: The importance of including remote sea level anomalies for application in hydrodynamic simulations

Extreme water-level recurrence estimates for a complex estuary using a high-resolution 2D model and a new method for estimating remotely generated sea level anomalies (SLAs) at the model boundary have been developed. The hydrodynamic model accurately resolves the dominant physical processes contributing to extreme water levels across the Washington State waters of the Salish Sea, including the rel
Authors
Eric E. Grossman, Babak Tehranirad, Kees Nederhoff, Sean Crosby, Andrew W. Stevens, Nathan R. VanArendonk, Daniel J. Nowacki, Li H. Erikson, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

The influence of vegetated marshes on wave transformation in sheltered estuaries

Assessing the influence of marshes on mitigating flooding along estuarine shorelines under the pressures of sea level rise requires understanding wave transformation across the marsh. A numerical model was applied to investigate how vegetated marshes influence wave transformation. XBeach non-hydrostatic (XB-NH) was calibrated and validated with high frequency pressure data from the marsh at China
Authors
Rae M. Taylor-Burns, Cornelis M. Nederhoff, Jessica R. Lacy, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

A model integrating satellite-derived shoreline observations for predicting fine-scale shoreline response to waves and sea-level rise across large coastal regions

Satellite-derived shoreline observations combined with dynamic shoreline models enable fine-scale predictions of coastal change across large spatiotemporal scales. Here, we present a satellite-data-assimilated, “littoral-cell”-based, ensemble Kalman-filter shoreline model to predict coastal change and uncertainty due to waves, sea-level rise (SLR), and other natural and anthropogenic processes. We
Authors
Sean Vitousek, Kilian Vos, Kristen D. Splinter, Li H. Erikson, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast

A 38-year hindcast water level product is developed for the U.S. Southeast Atlantic coastline from the entrance of Chesapeake Bay to the southeast tip of Florida. The water level modelling framework utilized in this study combines a global-scale hydrodynamic model (Global Tide and Surge Model, GTSM-ERA5), a novel ensemble-based tide model, a parameterized wave setup model, and statistical correcti
Authors
Kai Alexander Parker, Li H. Erikson, Jennifer Anne Thomas, Cornelis M. Nederhoff, Patrick L. Barnard, Sanne Muis
By
Pacific Coastal and Marine Science Center

Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)

In this work, we show that large-scale compound flood models developed for North and South Carolina, USA, can skillfully simulate multiple drivers of coastal flooding as confirmed by measurements collected during Hurricane Florence (2018). Besides the accuracy of representing observed water levels, the importance of individual processes was investigated. We demonstrate that across the area of inte
Authors
Tim Leijnse, Cornelis M. Nederhoff, Jennifer Anne Thomas, Kai Alexander Parker, Maarten van Ormondt, Li H. Erikson, Robert T. McCall, Ap van Dongeren, Andrea C. O'Neill, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Earth science looks to outer space

Satellite data are revolutionizing coastal science. A study revealing how the El Niño/Southern Oscillation impacts coastal erosion around the Pacific Rim shows what is possible.
Authors
Patrick L. Barnard, Sean Vitousek
By
Pacific Coastal and Marine Science Center

Non-USGS Publications**

Barnard, P.L., Owen, L.A. and Finkel, R.C., 2004. Style and timing of glacial and paraglacial sedimentation in a monsoonal-influenced high Himalayan environment, the upper Bhagirathi Valley, Garhwal Himalaya. Sedimentary Geology, Volume 165, p. 199-221, doi:10.1016/j.sedgeo.2003.11.009
Barnard, P.L., Owen, L.A., Sharma, M.C. and Finkel, R.C., 2004. Late Quaternary (Holocene) landscape evolution of a monsoon-influenced high Himalayan valley, Gori Ganga, Nanda Devi, NE Garhwal. Geomorphology, Volume 61 (1-2), p. 91-110, doi:10.1016/j.geomorph.2003.12.002
Barnard, P.L., 2003. The Timing and Nature of Glaciofluvial Erosion and Resedimentation in the Himalaya: the Role of Glacial and Paraglacial Processes in the Evolution of High Mountain Landscapes. Published Ph.D. Thesis, University of California, Riverside, 295 pp.
Davis, R.A., Jr. and Barnard, P.L., 2003. Morphodynamics of the barrier-inlet system, west-central Florida. Marine Geology, Volume 200 (1-4), p. 77-101, doi:10.1016/S0025-3227(03)00178-6
Finkel, R.C., Owen, L.A., Barnard, P.L. and Caffee, M.W., 2003. Beryllium-10 dating of Mount Everest moraines indicates a strong monsoonal influence and glacial synchroneity throughout the Himalaya. Geology, Volume 31, p. 561-564, doi:10.1130/0091-7613(2003)031<0561:BDOMEM>2.0.CO;2
Owen, L.A., Finkel, R.C., Ma, H., Spencer, J.Q., Derbyshire, E., Barnard, P.L. and Caffee, M.W., 2003. Timing and style of Late Quaternary glaciation in northeastern Tibet. Geological Society of America Bulletin, Volume 115 (11), p. 1356-1364, doi:10.1130/B25314.1
Owen, L.A., Ma, H., Derbyshire, E., Spencer, J.Q., Barnard, P.L., Zeng, Y.N., Finkel, R.C. and Caffee, M.W., 2003. The timing and style of Late Quaternary glaciation in the La Ji Mountains, NE Tibet: evidence for restricted glaciation during the latter part of the Last Glacial. Zeitschrift für Geomorphologie, Supplemental Volume 130, p. 263-276, ISBN 978-3-443-21130-1
Owen, L.A., Spencer, J.Q., Ma, H., Barnard, P.L., Derbyshire, E., Finkel, R.C., Caffee, M.W. and Zeng, Y.N., 2003. Timing of Late Quaternary glaciation along the southwestern slopes of the Qilian Shan, Tibet. Boreas, Volume 32, p. 281-291, doi:10.1111/j.1502-3885.2003.tb01083.x
Van der Woerd, J., Owen, L.A., Tapponnier, P., Xiwei, X., Kervyn, F., Finkel, R.C. and Barnard, P.L., 2003. Giant, ~M8 earthquake-triggered ice avalanches in the eastern Kunlun Shan, Northern Tibet: characteristics, nature and dynamics. Geological Society of America Bulletin, Volume 116 (3), p. 394-406, doi:10.1130/B25317.1
Barnard, P.L., Owen, L.A., Sharma, M.C. and Finkel, R.C., 2001. Natural and human-induced landsliding in the Garhwal Himalaya of Northern India. Geomorphology, Volume 40, p. 21-35, doi:10.1016/S0169-555X(01)00035-6
Davis, R.A., Jr. and Barnard, P.L., 2000. How anthropogenic factors in the back-barrier influence tidal inlet stability: examples from the Gulf Coast of Florida, USA. In: Pye, K. and Allen, J.R.L. (Eds.), Coastal and Estuarine Environments: sedimentology, geomorphology and geoarchaeology. Geological Society, London, Special Publication Number 175, p. 293-303, doi:10.1144/GSL.SP.2000.175.01.21
Barnard, P.L. and Owen, L.A., 2000. A selected bibliography for Late Quaternary glaciation in Tibet and Bordering Mountains. Quaternary International, Volume 65/66, p. 193-212
Barnard, P.L. and Davis, R.A., Jr., 1999. Anthropogenic vs. natural influences on inlet evolution: west-central Florida. Coastal Sediments ’99 Conference Proceedings, Fire Island, New York, Volume 2, p. 1489-1504
Barnard, P.L., 1998. Historical Morphodynamics of Inlet Channels: West-Central Florida. Master’s Thesis, University of South Florida, 179 pp.

**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.

Future Coastal Flooding

Prediction of Flooding Now and Into the Future: a geonarrative on coastal storms

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Filter Total Items: 27
The Complex Dynamics of Coastal Flooding along the Southeast U.S. Atlantic Coast

The Complex Dynamics of Coastal Flooding along the Southeast U.S. Atlantic Coast

New research led by Deltares, USGS, and USACE investigates the interplay between tropical and extratropical cyclones in driving coastal flooding along...

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Modeling Coastal Flooding Dynamics Along the U.S. Southeast Atlantic Coast

Modeling Coastal Flooding Dynamics Along the U.S. Southeast Atlantic Coast

Researchers have developed a comprehensive model to hindcast nearly four decades of water-level data for the Southeast Atlantic coastline of the...

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Advanced Quantitative Precipitation Information System Enhances Flood Prediction in San Francisco Bay Area

Advanced Quantitative Precipitation Information System Enhances Flood Prediction in San Francisco Bay Area

In recently published research, a consortium of local, state, and federal agencies including USGS and NOAA introduces the Advanced Quantitative...

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Restoring Marshes as a Cost-Effective Climate Adaptation Solution for San Mateo County

Restoring Marshes as a Cost-Effective Climate Adaptation Solution for San Mateo County

Climate change-induced flooding threatens coastlines around the world. A new study from researchers at the University of California, Santa Cruz, the...

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Cutting-Edge Storm Modeling System Forecasts Future Coastal Hazards in the Salish Sea

Cutting-Edge Storm Modeling System Forecasts Future Coastal Hazards in the Salish Sea

Three new studies from USGS and partners use an advanced coastal-storm modeling system to deliver fine-scale projections of wave behavior, flood...

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Coastal Communities on U.S. East Coast Face Growing Subsidence-Related Hazards

Coastal Communities on U.S. East Coast Face Growing Subsidence-Related Hazards

New research sheds light on the heightened vulnerability of coastal communities along the U.S. East Coast to a range of hazards linked to land...

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PCMSC Scientists Among USGS Contributors to National Climate Assessment

PCMSC Scientists Among USGS Contributors to National Climate Assessment

Scientists from the Pacific Coastal and Marine Science Center (PCMSC) are among dozens of USGS contributors to the Fifth National Climate Assessment...

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New Models Show Restoration Can Benefit Salmon While Reducing Flood Risks to Pacific Northwest River Deltas

New Models Show Restoration Can Benefit Salmon While Reducing Flood Risks to Pacific Northwest River Deltas

Large river deltas in the Pacific Northwest—low-lying and already flood-prone—face a future marked by increasingly frequent and intense flooding as...

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New Research Reveals Alarming Future for California's Coastline

New Research Reveals Alarming Future for California's Coastline

Computer modeling by USGS and the University of South Wales-Sydney predicts significant beach erosion by 2100 due to sea-level rise and other factors.

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Earth Science Looks to Outer Space

Earth Science Looks to Outer Space

A new article from researchers at the USGS Pacific Coastal and Marine Science Center emphasizes the importance of satellite-derived data for studying...

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Evaluating Coastal Adaptation Strategies in Southern California

Evaluating Coastal Adaptation Strategies in Southern California

New research couples flood modeling with demographic data to evaluate the effectiveness of various coastal adaptation strategies in reducing flood...

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USGS Coastal Change Research Highlighted in Short Film

USGS Coastal Change Research Highlighted in Short Film

A short film features USGS scientists from the Coastal Storm Monitoring System project, or CoSMoS.

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Science and Products

Filter Total Items: 15
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High coastal arctic bluff with broken chunks, some that are ready to fall into the crashing waves, and some that have fallen.

Coastal Climate Impacts

The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
link

Coastal Climate Impacts

The impacts of climate change and sea-level rise around the Pacific and Arctic Oceans can vary tremendously. Thus far the vast majority of national and international impact assessments and models of coastal climate change have focused on low-relief coastlines that are not near seismically active zones. Furthermore, the degree to which extreme waves and wind will add further stress to coastal...
Learn More
link
Aerial view of coastal bluffs, marine terrace with farmland, beach in distance with lagoon, highway runs along coast.

Dynamic coastlines along the western U.S.

The west coast of the United States is extremely complex and changeable because of tectonic activity, mountain building, and land subsidence. These active environments pose a major challenge for accurately assessing climate change impacts, since models were historically developed for more passive sandy coasts.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Big Sur Landslides, Subduction Zone Science
link

Dynamic coastlines along the western U.S.

The west coast of the United States is extremely complex and changeable because of tectonic activity, mountain building, and land subsidence. These active environments pose a major challenge for accurately assessing climate change impacts, since models were historically developed for more passive sandy coasts.
Learn More
link
Gentle river waters near grassy cliff in foreground, with a beach, and an amusement park in background, other buildings afar.

Climate impacts on Monterey Bay area beaches

For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
link

Climate impacts on Monterey Bay area beaches

For beach towns around Monterey Bay, preserving the beaches by mitigating coastal erosion is vital. Surveys conducted now and regularly in the future will help scientists understand the short- and long-term impacts of climate change, El Niño years, and sea-level rise on a populated and vulnerable coastline.
Learn More
link
Satellite image of study area, showing forests, a bay or inlet, and estuaries and rivers.

PS-CoSMoS: Puget Sound Coastal Storm Modeling System

The CoSMoS model is currently available for most of the California coast and is now being expanded to support the 4.5 million coastal residents of the Puget Sound region, with emphasis on the communities bordering the sound.
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
link

PS-CoSMoS: Puget Sound Coastal Storm Modeling System

The CoSMoS model is currently available for most of the California coast and is now being expanded to support the 4.5 million coastal residents of the Puget Sound region, with emphasis on the communities bordering the sound.
Learn More
link
An interactive mapping application in which the user can choose parameters from the menus to create a computer model of flooding

Coastal Storm Modeling System (CoSMoS)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities
link

Coastal Storm Modeling System (CoSMoS)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety...
Learn More
link
Two maps illustrate two states of computer modeling scenarios around a large bay and coastal area.

CoSMoS-Groundwater

The USGS Coastal Storm Modeling System (CoSMoS) team has extensively studied overland flooding and coastal change due to rising seas and storms. Interactions with coastal stakeholders have elucidated another important question; will rising seas also intrude into coastal aquifers and raise groundwater tables? The CoSMoS-Groundwater (CoSMoS-GW) modeling effort seeks to provide initial insight into...
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
link

CoSMoS-Groundwater

The USGS Coastal Storm Modeling System (CoSMoS) team has extensively studied overland flooding and coastal change due to rising seas and storms. Interactions with coastal stakeholders have elucidated another important question; will rising seas also intrude into coastal aquifers and raise groundwater tables? The CoSMoS-Groundwater (CoSMoS-GW) modeling effort seeks to provide initial insight into...
Learn More
link
Map of a western coastline with stretches of the coast labeled to identify data set regions.

CoSMoS 3.1: Central California

CoSMoS v3.1 for central California shows projections for future climate scenarios (sea-level rise and storms)
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
link

CoSMoS 3.1: Central California

CoSMoS v3.1 for central California shows projections for future climate scenarios (sea-level rise and storms)
Learn More
link
Map background with colored blocks drawn on top if it to depict data regions or study areas, each area is labeled with words.

CoSMoS 3.0: Southern California

CoSMoS 3.0 for southern California provides detailed predictions of coastal flooding due to both future sea-level rise and storms, integrated with predictions of long-term coastal evolution (beach changes and coastal cliff retreat) for the Southern California region, from Point Conception (Santa Barbara County) to Imperial Beach (San Diego County).
By
Pacific Coastal and Marine Science Center
link

CoSMoS 3.0: Southern California

CoSMoS 3.0 for southern California provides detailed predictions of coastal flooding due to both future sea-level rise and storms, integrated with predictions of long-term coastal evolution (beach changes and coastal cliff retreat) for the Southern California region, from Point Conception (Santa Barbara County) to Imperial Beach (San Diego County).
Learn More
link
Map shows the outline of a coastal area with a bay inlet and an outline along the coast showing a study area.

CoSMoS 2.2: Pt. Arena and Russian River

Building on the initial work in the Bay Area and Outer Coast, CoSMoS 2.2 adds river flows to help users project combined river and coastal flooding along the northern California coast from Bodega Head to Point Arena.
By
Pacific Coastal and Marine Science Center
link

CoSMoS 2.2: Pt. Arena and Russian River

Building on the initial work in the Bay Area and Outer Coast, CoSMoS 2.2 adds river flows to help users project combined river and coastal flooding along the northern California coast from Bodega Head to Point Arena.
Learn More
link
Pulsating animation shows a bay and estuaries and changing water depth during two days' worth of tidal cycles.

CoSMoS 2.1: San Francisco Bay

With primary support from the National Estuarine Research Reserve (NERR), CoSMoS is set-up within the San Francisco Bay as part of Our Coast Our Future (OCOF).
By
Pacific Coastal and Marine Science Center
link

CoSMoS 2.1: San Francisco Bay

With primary support from the National Estuarine Research Reserve (NERR), CoSMoS is set-up within the San Francisco Bay as part of Our Coast Our Future (OCOF).
Learn More
link
Web browser screen showing an application with different parameters and controls on left and the resulting map on right.

CoSMoS 2.0: North-central California (outer coast)

Our Coast Our Future (OCOF) is a collaborative, user-driven project providing science-based decision-support tools to help coastal planners and emergency responders understand, visualize, and anticipate local impacts from sea-level rise (SLR) and storms in the San Francisco Bay region.
By
Pacific Coastal and Marine Science Center
link

CoSMoS 2.0: North-central California (outer coast)

Our Coast Our Future (OCOF) is a collaborative, user-driven project providing science-based decision-support tools to help coastal planners and emergency responders understand, visualize, and anticipate local impacts from sea-level rise (SLR) and storms in the San Francisco Bay region.
Learn More
link
Map shows the outline of a coastal area with a large bay inlet with two oval study areas demarcated in the north and south bay.

Operational CoSMoS model: San Francisco Bay

The San Francisco Bay Coastal Flood Forecast pilot project is an operational CoSMoS model, part of a project funded by the California Department of Water Resources (CA-DWR) and NOAA’s Earth System Research Laboratory (ESRL).
By
Pacific Coastal and Marine Science Center
link

Operational CoSMoS model: San Francisco Bay

The San Francisco Bay Coastal Flood Forecast pilot project is an operational CoSMoS model, part of a project funded by the California Department of Water Resources (CA-DWR) and NOAA’s Earth System Research Laboratory (ESRL).
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Filter Total Items: 17

Future coastal groundwater hazards in the Puget Sound region, Washington, U.S.A.

This data release contains model results for groundwater response to sea-level rise (SLR) in coastal areas around Puget Sound, Washington. The high resolution (50m) models predict steady-state unconfined groundwater heads under long-term (17y) average recharge conditions, with spatially variable hydraulic conductivities (Ks) from published models, and include model runs with Ks increased and decre
By
Pacific Coastal and Marine Science Center

Coastal hazards assessment associated with sea level rise and storms along the Whatcom County, Northwest Washington State coast

This product contains several datasets that map exposure to future forecasted hazards related to coastal flooding and extreme wave heights accounting for sea level rise (SLR) and climate change along the Whatcom County coast of northwestern Washington State in the Salish Sea. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available science and storms account
By
Pacific Coastal and Marine Science Center

Projections of shoreline change for California due to 21st century sea-level rise

This dataset contains projections of shoreline change and uncertainty bands across California for future scenarios of sea-level rise (SLR). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (S
By
Pacific Coastal and Marine Science Center

Future coastal hazards along the U.S. Atlantic coast

This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms for three States (Florida, Georgia, and Virginia) along the Atlantic coast of the United States. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available science and with enough resolution to support a suite of different plann
By
Pacific Coastal and Marine Science Center

Future coastal hazards along the U.S. North and South Carolina coasts

This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms along the North and South Carolina coast. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available, science and with enough resolution to support a suite of different planning horizons. The storm scenarios are derived with the
By
Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities

Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 (ver. 1d, June 2023)

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS 3.2 for Northern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planne
By
Pacific Coastal and Marine Science Center

Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of projected CMIP6 wind and sea ice fields

This dataset contains projected hourly time-series data of waves at distinct points along all open U.S. coasts for years 2020-2050. The 'projections' (estimates of long-term future conditions) were developed by running the National Oceanic and Atmospheric Administration's (NOAA) WAVEWATCHIII wave model forced with winds and sea ice cover from seven separate high-resolution Global Climate / General
By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Surveillance and reports of Brown Treesnakes on Saipan, 1980-2020

Available active surveillance efforts for Brown Treesnakes on the island of Saipan via nocturnal visual encounter surveys and trapping from 1999-2018 were collected and summarized into 3 csv files (TRAP1999, BTSRRTSaipanTRAP, and BTSRRTSaipanVISUAL). Location and date of non-confirmed reports of snakes 1982-2013 via passive surveillance were compiled into a fourth file (Saipan BTSSightings1980_202
By
Fort Collins Science Center

Modeled extreme total water levels along the U.S. west coast

This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Coastal Storm Modeling System (CoSMoS) for Central California, v3.1

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.1 for Central California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planne
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

California shorelines and shoreline change data, 1998-2016

This data release contains mean high water (MHW) shorelines along the coast of California for the years 1998/2002, 2015, and 2016, extracted from Light Detection and Ranging (LiDAR) digital elevation models using ArcGIS. The Digital Shoreline Analysis System (DSAS) was used to calculate net shoreline movement (NSM) between the pre-El Nino (2015) and post-El Nino (2016) shorelines, as a proxy for s
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Projected responses of the coastal water table for California using present-day and future sea-level rise scenarios

Coastal groundwater levels (heads) can increase with sea level rise (SLR) where shallow groundwater floats on underlying seawater. In some areas coastal groundwater could rise almost as much as SLR, but where rising groundwater intersects surface drainage features, the increase will be less. Numerical modeling can provide insight into coastal areas that may be more or less vulnerable to hazards as
By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center

Under the Golden Gate Bridge — Views of the sea floor near the entrance to San Francisco Bay, California

San Francisco Bay in Northern California is one of the largest and most altered estuaries within the United States. The sea floor within the bay as well as at its entrance is constantly changing due to strong tidal currents, aggregate mining, dredge disposal, and the creation of new land using artificial fill. Understanding this dynamic sea floor is critical for addressing local environmental issu
By
Pacific Coastal and Marine Science Center
PubTalk 2/2011 — Is Our Coast in Jeopardy?
PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

-predicting the impact of extreme storms on the California Coast

By Patrick Barnard, USGS Pacific Coastal & Marine Science Center

 

By
Communications and Publishing, Public Lecture Series

PubTalk 2/2011 — Is Our Coast in Jeopardy?

PubTalk 2/2011 — Is Our Coast in Jeopardy?

-predicting the impact of extreme storms on the California Coast

By Patrick Barnard, USGS Pacific Coastal & Marine Science Center

 

By
Communications and Publishing, Public Lecture Series
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.
Mission Bay San Diego flooding scenario
Mission Bay San Diego flooding scenario
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.

Mission Bay San Diego flooding scenario

Mission Bay San Diego flooding scenario

Estimated coastal inundation (blue shading) at Mission Bay in San Diego, California, using the Coastal Storm Modeling System (CoSMoS) developed for ARkStorm. (From USGS Open-File Report 2010-1312.) 

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Map of a bay with islands near a city has an overlay to show the extent of flooding given a huge storm event.

Mission Bay San Diego flooding scenario

Mission Bay San Diego flooding scenario

Estimated coastal inundation (blue shading) at Mission Bay in San Diego, California, using the Coastal Storm Modeling System (CoSMoS) developed for ARkStorm. (From USGS Open-File Report 2010-1312.) 

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Image: Severe Coastal Erosion During an El Niño Storm
Severe Coastal Erosion During an El Niño Storm
Severe Coastal Erosion During an El Niño Storm
Image: Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe coastal bluff erosion, along the southern end of Ocean Beach, San Francisco, California. This storm damage occurred during the 2009-2010 El Niño, which, on average, eroded the shoreline 55 meters that winter.

By
Water Resources Mission Area, Pacific Coastal and Marine Science Center, Communications and Publishing
Image: Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe Coastal Erosion During an El Niño Storm

Severe coastal bluff erosion, along the southern end of Ocean Beach, San Francisco, California. This storm damage occurred during the 2009-2010 El Niño, which, on average, eroded the shoreline 55 meters that winter.

By
Water Resources Mission Area, Pacific Coastal and Marine Science Center, Communications and Publishing
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.
Collecting Bathymetric Data in San Francisco Bay
Collecting Bathymetric Data in San Francisco Bay
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.

Collecting Bathymetric Data in San Francisco Bay

Collecting Bathymetric Data in San Francisco Bay

USGS scientists Patrick Barnard (left) and Jeff Hansen navigate personal watercraft equipped with GPS and echo sounders through the waters of San Francisco Bay. They are collecting bathymetric, or depth, information in order to create maps of the bottom of the Bay.

By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, San Francisco Bay and Sacramento-San Joaquin Delta Estuary
USGS scientists navigate personal water craft around San Francisco Bay, collecting bathymetric data.

Collecting Bathymetric Data in San Francisco Bay

Collecting Bathymetric Data in San Francisco Bay

USGS scientists Patrick Barnard (left) and Jeff Hansen navigate personal watercraft equipped with GPS and echo sounders through the waters of San Francisco Bay. They are collecting bathymetric, or depth, information in order to create maps of the bottom of the Bay.

By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, San Francisco Bay and Sacramento-San Joaquin Delta Estuary
Two people on jet skis in the water with a large suspension bridge in the background.
Bathymetric survey on jet skis
Bathymetric survey on jet skis
Two people on jet skis in the water with a large suspension bridge in the background.

Bathymetric survey on jet skis

Bathymetric survey on jet skis

USGS researchers Patrick Barnard and Jeff Hansen surveying the bathymetry offshore of Crissy Field in San Francisco, California, on October 26, 2007. They are using the Coastal Profiling System—personal watercraft equipped with echo sounders and kinematic Global Positioning System (GPS) units. The Golden Gate Bridge is in the background.

By
Pacific Coastal and Marine Science Center, Pacific Coastal and Marine Science Center
Two people on jet skis in the water with a large suspension bridge in the background.

Bathymetric survey on jet skis

Bathymetric survey on jet skis

USGS researchers Patrick Barnard and Jeff Hansen surveying the bathymetry offshore of Crissy Field in San Francisco, California, on October 26, 2007. They are using the Coastal Profiling System—personal watercraft equipped with echo sounders and kinematic Global Positioning System (GPS) units. The Golden Gate Bridge is in the background.

By
Pacific Coastal and Marine Science Center, Pacific Coastal and Marine Science Center
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.
Studying Surf-Zone Hydrodynamics
Studying Surf-Zone Hydrodynamics
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.

Studying Surf-Zone Hydrodynamics

Studying Surf-Zone Hydrodynamics

USGS scientists Andrew Schwartz and Dan Hanes maneuver a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, on the west side of San Francisco, California. Beach erosion has been a continuing problem in this area.

By
Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Andrew Schwartz and Dan Hanes hold a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, San Francisco.

Studying Surf-Zone Hydrodynamics

Studying Surf-Zone Hydrodynamics

USGS scientists Andrew Schwartz and Dan Hanes maneuver a current profiler for a study of surf-zone hydrodynamics at Ocean Beach, on the west side of San Francisco, California. Beach erosion has been a continuing problem in this area.

By
Natural Hazards, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.
Homes along the edge of the coast in Isla Vista, California
Homes along the edge of the coast in Isla Vista, California
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California, Santa Barbara County, face a short lifespan because of eroding bluffs that support them.

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Photograph shows eroding cliff in Isla Vista, California, with parts of houses hanging over edge.

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California

Homes along the edge of the coast in Isla Vista, California, Santa Barbara County, face a short lifespan because of eroding bluffs that support them.

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Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Filter Total Items: 126

State of California sea level rise guidance: 2024 Science and policy update

No abstract available.
Authors
Susheel Adusumilli, Patrick L. Barnard, Daniel R. Cayan, Laura Engeman, Gary B. Griggs, Benjamin D. Hamlington, Kristina Hill, Felix Landerer, Phillip Thompson
By
Pacific Coastal and Marine Science Center

Tropical or extratropical cyclones: What drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?

Subtropical coastlines are impacted by both tropical and extratropical cyclones. While both may lead to substantial damage to coastal communities, it is difficult to determine the contribution of tropical cyclones to coastal flooding relative to that of extratropical cyclones. We conduct a large-scale flood hazard and impact assessment across the subtropical Southeast Atlantic Coast of the United
Authors
Kees Nederhoff, Tim Leijnse, Kai Alexander Parker, Jennifer Anne Thomas, Andrea O'Neill, Maarten van Ormondt, Robert T. McCall, Li H. Erikson, Patrick L. Barnard, Amy C. Foxgrover, Wouter Klessens, Norberto C. Nadal-Caraballo, Chris Massey
By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities, Hurricanes

The value of marsh restoration for flood risk reduction in an urban estuary

The use of nature-based solutions (NBS) for coastal climate adaptation has broad and growing interest, but NBS are rarely assessed with the same rigor as traditional engineering solutions or with respect to future climate change scenarios. These gaps pose challenges for the use of NBS for climate adaptation. Here, we value the flood protection benefits of stakeholder-identified marsh restoration u
Authors
Rae M. Taylor-Burns, Chris Lowrie, Babak Tehranirad, Jeremy Lowe, Li H. Erikson, Patrick L. Barnard, Borja G. Reguero, Michael W. Beck
By
Pacific Coastal and Marine Science Center

Advanced quantitative precipitation information: Improving monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area

Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay Area. As an experimental system, AQPI leverages more than a decade of research, innovation, and implementation of a statewide, state-of-the-art network of observations, a
Authors
Robert Cifelli, V Chandrasekar, Liv M. Herdman, Dave Turner, A. B. White, M. Alcott, M. C. Anderson, Patrick L. Barnard, S.K. Biswas, M. Boucher, J. Bytheway, H. Chen, H. Cutler, M. English, Li H. Erikson, F. Junyent, L. E. Johnson, J. Krebs, J. van de Lindt, J. Kim, Marty L. Leonard, Y. Ma, M. Marquis, W. Moninger, G. Pratt, C. Radhakrishnan, Michael Shields, J. Spaulding, Babak Tehranirad, R. S. Webb
By
Pacific Coastal and Marine Science Center

Dynamic modeling of coastal compound flooding hazards due to tides, extratropical storms, waves, and sea-level rise: A case study in the Salish Sea, Washington (USA)

The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flooding over large geographic areas (100 s of kilometers) at high spatial resolutions (1 m) pertinent to coastal hazard assessments and planning. Th
Authors
Kees Nederhoff, Sean C. Crosby, Nathan R. vanArendonk, Eric E. Grossman, Babak Tehranirad, T. Leijnse, W. Klessens, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Slowly but surely: Exposure of communities and infrastructure to subsidence on the US east coast

Coastal communities are vulnerable to multihazards, which are exacerbated by land subsidence. On the US east coast, the high density of population and assets amplifies the region's exposure to coastal hazards. We utilized measurements of vertical land motion rates obtained from analysis of radar datasets to evaluate the subsidence-hazard exposure to population, assets, and infrastructure systems/f
Authors
Leonard O. Ohenhen, Manoochehr Shirzaei, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Modeling extreme water levels in the Salish Sea: The importance of including remote sea level anomalies for application in hydrodynamic simulations

Extreme water-level recurrence estimates for a complex estuary using a high-resolution 2D model and a new method for estimating remotely generated sea level anomalies (SLAs) at the model boundary have been developed. The hydrodynamic model accurately resolves the dominant physical processes contributing to extreme water levels across the Washington State waters of the Salish Sea, including the rel
Authors
Eric E. Grossman, Babak Tehranirad, Kees Nederhoff, Sean Crosby, Andrew W. Stevens, Nathan R. VanArendonk, Daniel J. Nowacki, Li H. Erikson, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

The influence of vegetated marshes on wave transformation in sheltered estuaries

Assessing the influence of marshes on mitigating flooding along estuarine shorelines under the pressures of sea level rise requires understanding wave transformation across the marsh. A numerical model was applied to investigate how vegetated marshes influence wave transformation. XBeach non-hydrostatic (XB-NH) was calibrated and validated with high frequency pressure data from the marsh at China
Authors
Rae M. Taylor-Burns, Cornelis M. Nederhoff, Jessica R. Lacy, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

A model integrating satellite-derived shoreline observations for predicting fine-scale shoreline response to waves and sea-level rise across large coastal regions

Satellite-derived shoreline observations combined with dynamic shoreline models enable fine-scale predictions of coastal change across large spatiotemporal scales. Here, we present a satellite-data-assimilated, “littoral-cell”-based, ensemble Kalman-filter shoreline model to predict coastal change and uncertainty due to waves, sea-level rise (SLR), and other natural and anthropogenic processes. We
Authors
Sean Vitousek, Kilian Vos, Kristen D. Splinter, Li H. Erikson, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Relative contributions of water-level components to extreme water levels along the US Southeast Atlantic Coast from a regional-scale water-level hindcast

A 38-year hindcast water level product is developed for the U.S. Southeast Atlantic coastline from the entrance of Chesapeake Bay to the southeast tip of Florida. The water level modelling framework utilized in this study combines a global-scale hydrodynamic model (Global Tide and Surge Model, GTSM-ERA5), a novel ensemble-based tide model, a parameterized wave setup model, and statistical correcti
Authors
Kai Alexander Parker, Li H. Erikson, Jennifer Anne Thomas, Cornelis M. Nederhoff, Patrick L. Barnard, Sanne Muis
By
Pacific Coastal and Marine Science Center

Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018)

In this work, we show that large-scale compound flood models developed for North and South Carolina, USA, can skillfully simulate multiple drivers of coastal flooding as confirmed by measurements collected during Hurricane Florence (2018). Besides the accuracy of representing observed water levels, the importance of individual processes was investigated. We demonstrate that across the area of inte
Authors
Tim Leijnse, Cornelis M. Nederhoff, Jennifer Anne Thomas, Kai Alexander Parker, Maarten van Ormondt, Li H. Erikson, Robert T. McCall, Ap van Dongeren, Andrea C. O'Neill, Patrick L. Barnard
By
Pacific Coastal and Marine Science Center

Earth science looks to outer space

Satellite data are revolutionizing coastal science. A study revealing how the El Niño/Southern Oscillation impacts coastal erosion around the Pacific Rim shows what is possible.
Authors
Patrick L. Barnard, Sean Vitousek
By
Pacific Coastal and Marine Science Center

Non-USGS Publications**

Barnard, P.L., Owen, L.A. and Finkel, R.C., 2004. Style and timing of glacial and paraglacial sedimentation in a monsoonal-influenced high Himalayan environment, the upper Bhagirathi Valley, Garhwal Himalaya. Sedimentary Geology, Volume 165, p. 199-221, doi:10.1016/j.sedgeo.2003.11.009
Barnard, P.L., Owen, L.A., Sharma, M.C. and Finkel, R.C., 2004. Late Quaternary (Holocene) landscape evolution of a monsoon-influenced high Himalayan valley, Gori Ganga, Nanda Devi, NE Garhwal. Geomorphology, Volume 61 (1-2), p. 91-110, doi:10.1016/j.geomorph.2003.12.002
Barnard, P.L., 2003. The Timing and Nature of Glaciofluvial Erosion and Resedimentation in the Himalaya: the Role of Glacial and Paraglacial Processes in the Evolution of High Mountain Landscapes. Published Ph.D. Thesis, University of California, Riverside, 295 pp.
Davis, R.A., Jr. and Barnard, P.L., 2003. Morphodynamics of the barrier-inlet system, west-central Florida. Marine Geology, Volume 200 (1-4), p. 77-101, doi:10.1016/S0025-3227(03)00178-6
Finkel, R.C., Owen, L.A., Barnard, P.L. and Caffee, M.W., 2003. Beryllium-10 dating of Mount Everest moraines indicates a strong monsoonal influence and glacial synchroneity throughout the Himalaya. Geology, Volume 31, p. 561-564, doi:10.1130/0091-7613(2003)031<0561:BDOMEM>2.0.CO;2
Owen, L.A., Finkel, R.C., Ma, H., Spencer, J.Q., Derbyshire, E., Barnard, P.L. and Caffee, M.W., 2003. Timing and style of Late Quaternary glaciation in northeastern Tibet. Geological Society of America Bulletin, Volume 115 (11), p. 1356-1364, doi:10.1130/B25314.1
Owen, L.A., Ma, H., Derbyshire, E., Spencer, J.Q., Barnard, P.L., Zeng, Y.N., Finkel, R.C. and Caffee, M.W., 2003. The timing and style of Late Quaternary glaciation in the La Ji Mountains, NE Tibet: evidence for restricted glaciation during the latter part of the Last Glacial. Zeitschrift für Geomorphologie, Supplemental Volume 130, p. 263-276, ISBN 978-3-443-21130-1
Owen, L.A., Spencer, J.Q., Ma, H., Barnard, P.L., Derbyshire, E., Finkel, R.C., Caffee, M.W. and Zeng, Y.N., 2003. Timing of Late Quaternary glaciation along the southwestern slopes of the Qilian Shan, Tibet. Boreas, Volume 32, p. 281-291, doi:10.1111/j.1502-3885.2003.tb01083.x
Van der Woerd, J., Owen, L.A., Tapponnier, P., Xiwei, X., Kervyn, F., Finkel, R.C. and Barnard, P.L., 2003. Giant, ~M8 earthquake-triggered ice avalanches in the eastern Kunlun Shan, Northern Tibet: characteristics, nature and dynamics. Geological Society of America Bulletin, Volume 116 (3), p. 394-406, doi:10.1130/B25317.1
Barnard, P.L., Owen, L.A., Sharma, M.C. and Finkel, R.C., 2001. Natural and human-induced landsliding in the Garhwal Himalaya of Northern India. Geomorphology, Volume 40, p. 21-35, doi:10.1016/S0169-555X(01)00035-6
Davis, R.A., Jr. and Barnard, P.L., 2000. How anthropogenic factors in the back-barrier influence tidal inlet stability: examples from the Gulf Coast of Florida, USA. In: Pye, K. and Allen, J.R.L. (Eds.), Coastal and Estuarine Environments: sedimentology, geomorphology and geoarchaeology. Geological Society, London, Special Publication Number 175, p. 293-303, doi:10.1144/GSL.SP.2000.175.01.21
Barnard, P.L. and Owen, L.A., 2000. A selected bibliography for Late Quaternary glaciation in Tibet and Bordering Mountains. Quaternary International, Volume 65/66, p. 193-212
Barnard, P.L. and Davis, R.A., Jr., 1999. Anthropogenic vs. natural influences on inlet evolution: west-central Florida. Coastal Sediments ’99 Conference Proceedings, Fire Island, New York, Volume 2, p. 1489-1504
Barnard, P.L., 1998. Historical Morphodynamics of Inlet Channels: West-Central Florida. Master’s Thesis, University of South Florida, 179 pp.

**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.

Future Coastal Flooding

Prediction of Flooding Now and Into the Future: a geonarrative on coastal storms

By
Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center
Filter Total Items: 27
The Complex Dynamics of Coastal Flooding along the Southeast U.S. Atlantic Coast

The Complex Dynamics of Coastal Flooding along the Southeast U.S. Atlantic Coast

New research led by Deltares, USGS, and USACE investigates the interplay between tropical and extratropical cyclones in driving coastal flooding along...

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Modeling Coastal Flooding Dynamics Along the U.S. Southeast Atlantic Coast

Modeling Coastal Flooding Dynamics Along the U.S. Southeast Atlantic Coast

Researchers have developed a comprehensive model to hindcast nearly four decades of water-level data for the Southeast Atlantic coastline of the...

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Advanced Quantitative Precipitation Information System Enhances Flood Prediction in San Francisco Bay Area

Advanced Quantitative Precipitation Information System Enhances Flood Prediction in San Francisco Bay Area

In recently published research, a consortium of local, state, and federal agencies including USGS and NOAA introduces the Advanced Quantitative...

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Restoring Marshes as a Cost-Effective Climate Adaptation Solution for San Mateo County

Restoring Marshes as a Cost-Effective Climate Adaptation Solution for San Mateo County

Climate change-induced flooding threatens coastlines around the world. A new study from researchers at the University of California, Santa Cruz, the...

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Cutting-Edge Storm Modeling System Forecasts Future Coastal Hazards in the Salish Sea

Cutting-Edge Storm Modeling System Forecasts Future Coastal Hazards in the Salish Sea

Three new studies from USGS and partners use an advanced coastal-storm modeling system to deliver fine-scale projections of wave behavior, flood...

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Coastal Communities on U.S. East Coast Face Growing Subsidence-Related Hazards

Coastal Communities on U.S. East Coast Face Growing Subsidence-Related Hazards

New research sheds light on the heightened vulnerability of coastal communities along the U.S. East Coast to a range of hazards linked to land...

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PCMSC Scientists Among USGS Contributors to National Climate Assessment

PCMSC Scientists Among USGS Contributors to National Climate Assessment

Scientists from the Pacific Coastal and Marine Science Center (PCMSC) are among dozens of USGS contributors to the Fifth National Climate Assessment...

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New Models Show Restoration Can Benefit Salmon While Reducing Flood Risks to Pacific Northwest River Deltas

New Models Show Restoration Can Benefit Salmon While Reducing Flood Risks to Pacific Northwest River Deltas

Large river deltas in the Pacific Northwest—low-lying and already flood-prone—face a future marked by increasingly frequent and intense flooding as...

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New Research Reveals Alarming Future for California's Coastline

New Research Reveals Alarming Future for California's Coastline

Computer modeling by USGS and the University of South Wales-Sydney predicts significant beach erosion by 2100 due to sea-level rise and other factors.

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Earth Science Looks to Outer Space

Earth Science Looks to Outer Space

A new article from researchers at the USGS Pacific Coastal and Marine Science Center emphasizes the importance of satellite-derived data for studying...

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Evaluating Coastal Adaptation Strategies in Southern California

Evaluating Coastal Adaptation Strategies in Southern California

New research couples flood modeling with demographic data to evaluate the effectiveness of various coastal adaptation strategies in reducing flood...

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USGS Coastal Change Research Highlighted in Short Film

USGS Coastal Change Research Highlighted in Short Film

A short film features USGS scientists from the Coastal Storm Monitoring System project, or CoSMoS.

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