Andrea O'Neill
Oceanographer with the USGS Pacific Coastal and Marine Science Center
I'm an oceanographer and meteorologist with the Pacific Coastal and Marine Science Center in Santa Cruz, CA. I have expertise in coastal and marine hazards projections, hydrodynamic simulations, and coastal impacts from long-term and extreme storms.
Professional Experience
Following 11 years of meteorological and oceanographic forecasting in the Western Pacific for the U.S. Navy, I joined the USGS doing long-term coastal flooding hazards projections using the Coastal Storm Modeling System (CoSMoS).
Education and Certifications
B.S. in Oceanography from the University of Washington in Seattle, WA
M.S. in physical oceanography and meteorology from Naval Postgraduate School in Monterey, CA
Science and Products
Coastal Storm Modeling System (CoSMoS) for Central California, v3.1 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 Storm Modeling System (CoSMoS) for Southern California, v3.0, Phase 2 Coastal Storm Modeling System (CoSMoS) for Southern California, v3.0, Phase 2
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 scenarios, as well as long-term shoreline change and cliff retreat. Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency...
Hydrodynamic and sediment transport data from San Pablo Bay and China Camp marsh (northern San Francisco Bay), 2013-2016 Hydrodynamic and sediment transport data from San Pablo Bay and China Camp marsh (northern San Francisco Bay), 2013-2016
The U.S. Geological Survey Pacific Coastal and Marine Science Center collected data to investigate sediment dynamics in the shallows of San Pablo Bay and sediment exchange between bay shallows and the tidal salt marsh in China Camp State Park in a series of deployments between December 2013 and June 2016. This data release includes two related groups of data sets. The first group...
Near-surface wind fields for San Francisco Bay--historical and 21st-century projected time series Near-surface wind fields for San Francisco Bay--historical and 21st-century projected time series
To support Coastal Storm Modeling System (CoSMoS) in the San Francisco Bay (v2.1), time series of historical and 21st-century near-surface wind fields (eastward and northward wind arrays) were simulated throughout the Bay. While global climate models (GCMs) provide useful projections of near-surface wind vectors into the 21st century, resolution is not sufficient enough for use in...
Filter Total Items: 17
Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018) 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...
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
Projecting climate dependent coastal flood risk with a hybrid statistical dynamical model Projecting climate dependent coastal flood risk with a hybrid statistical dynamical model
Numerical models for tides, storm surge, and wave runup have demonstrated ability to accurately define spatially varying flood surfaces. However these models are typically too computationally expensive to dynamically simulate the full parameter space of future oceanographic, atmospheric, and hydrologic conditions that will constructively compound in the nearshore to cause both extreme...
Authors
D. L. Anderson, P. Ruggiero, F. J. Mendez, Patrick L. Barnard, Li H. Erikson, Andrea C. O'Neill, M. Merrifield, A. Rueda, L. Cagigal, J. M. Marra
Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS) Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS)
In coastal rivers, the interactions between tides and fluvial discharge affect local ecology, sedimentation, river dynamics, river mouth configuration, and the flooding potential in adjacent wetlands and low-lying areas. With sea-level rise, the tidal reach within coastal rivers can expand upstream, impacting river dynamics and increasing flood risk across a much greater area. Rivers...
Authors
Andrea C. O'Neill, Li H. Erikson, Patrick L. Barnard
Dynamic flood modeling essential to assess the coastal impacts of climate change Dynamic flood modeling essential to assess the coastal impacts of climate change
Coastal inundation due to sea level rise (SLR) is projected to displace hundreds of millions of people worldwide over the next century, creating significant economic, humanitarian, and national-security challenges. However, the majority of previous efforts to characterize potential coastal impacts of climate change have focused primarily on long-term SLR with a static tide level, and...
Authors
Patrick L. Barnard, Li H. Erikson, Amy C. Foxgrover, Juliette A. Finzi Hart, Patrick W. Limber, Andrea C. O'Neill, Maarten van Ormondt, Sean Vitousek, Nathan J. Wood, Maya K. Hayden, Jeanne M. Jones
Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change
Deterministic dynamical modeling of future climate conditions and associated hazards, such as flooding, can be computationally-expensive if century-long time-series of waves, sea level variations, and overland flow patterns are simulated. To alleviate some of the computational costs, local impacts of individual coastal storms can be explored by first identifying particular events or...
Authors
Li H. Erikson, Antonio Espejo, Patrick L. Barnard, Katherine A. Serafin, Christie Hegermiller, Andrea C. O'Neill, Peter Ruggerio, Patrick W. Limber, Fernando J. Mendez
Assessing and communicating the impacts of climate change on the Southern California coast Assessing and communicating the impacts of climate change on the Southern California coast
Over the course of this and the next century, the combination of rising sea levels, severe storms, and coastal erosion will threaten the sustainability of coastal communities, development, and ecosystems as we currently know them. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies for projected increased levels of coastal flooding and erosion...
Authors
Li H. Erikson, Patrick L. Barnard, Andrea C. O'Neill, Patrick Limber, Sean Vitousek, Juliette Finzi Hart, Maya Hayden, Jeanne M. Jones, Nathan J. Wood, Michael Fitzgibbon, Amy C. Foxgrover, Jessica Lovering
Science and Products
Coastal Storm Modeling System (CoSMoS) for Central California, v3.1 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 Storm Modeling System (CoSMoS) for Southern California, v3.0, Phase 2 Coastal Storm Modeling System (CoSMoS) for Southern California, v3.0, Phase 2
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 scenarios, as well as long-term shoreline change and cliff retreat. Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency...
Hydrodynamic and sediment transport data from San Pablo Bay and China Camp marsh (northern San Francisco Bay), 2013-2016 Hydrodynamic and sediment transport data from San Pablo Bay and China Camp marsh (northern San Francisco Bay), 2013-2016
The U.S. Geological Survey Pacific Coastal and Marine Science Center collected data to investigate sediment dynamics in the shallows of San Pablo Bay and sediment exchange between bay shallows and the tidal salt marsh in China Camp State Park in a series of deployments between December 2013 and June 2016. This data release includes two related groups of data sets. The first group...
Near-surface wind fields for San Francisco Bay--historical and 21st-century projected time series Near-surface wind fields for San Francisco Bay--historical and 21st-century projected time series
To support Coastal Storm Modeling System (CoSMoS) in the San Francisco Bay (v2.1), time series of historical and 21st-century near-surface wind fields (eastward and northward wind arrays) were simulated throughout the Bay. While global climate models (GCMs) provide useful projections of near-surface wind vectors into the 21st century, resolution is not sufficient enough for use in...
Filter Total Items: 17
Rapid modeling of compound flooding across broad coastal regions and the necessity to include rainfall driven processes: A case study of Hurricane Florence (2018) 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...
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
Projecting climate dependent coastal flood risk with a hybrid statistical dynamical model Projecting climate dependent coastal flood risk with a hybrid statistical dynamical model
Numerical models for tides, storm surge, and wave runup have demonstrated ability to accurately define spatially varying flood surfaces. However these models are typically too computationally expensive to dynamically simulate the full parameter space of future oceanographic, atmospheric, and hydrologic conditions that will constructively compound in the nearshore to cause both extreme...
Authors
D. L. Anderson, P. Ruggiero, F. J. Mendez, Patrick L. Barnard, Li H. Erikson, Andrea C. O'Neill, M. Merrifield, A. Rueda, L. Cagigal, J. M. Marra
Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS) Impacts of sea-level rise on the tidal reach of California coastal rivers using the Coastal Storm Modeling System (CoSMoS)
In coastal rivers, the interactions between tides and fluvial discharge affect local ecology, sedimentation, river dynamics, river mouth configuration, and the flooding potential in adjacent wetlands and low-lying areas. With sea-level rise, the tidal reach within coastal rivers can expand upstream, impacting river dynamics and increasing flood risk across a much greater area. Rivers...
Authors
Andrea C. O'Neill, Li H. Erikson, Patrick L. Barnard
Dynamic flood modeling essential to assess the coastal impacts of climate change Dynamic flood modeling essential to assess the coastal impacts of climate change
Coastal inundation due to sea level rise (SLR) is projected to displace hundreds of millions of people worldwide over the next century, creating significant economic, humanitarian, and national-security challenges. However, the majority of previous efforts to characterize potential coastal impacts of climate change have focused primarily on long-term SLR with a static tide level, and...
Authors
Patrick L. Barnard, Li H. Erikson, Amy C. Foxgrover, Juliette A. Finzi Hart, Patrick W. Limber, Andrea C. O'Neill, Maarten van Ormondt, Sean Vitousek, Nathan J. Wood, Maya K. Hayden, Jeanne M. Jones
Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change Identification of storm events and contiguous coastal sections for deterministic modeling of extreme coastal flood events in response to climate change
Deterministic dynamical modeling of future climate conditions and associated hazards, such as flooding, can be computationally-expensive if century-long time-series of waves, sea level variations, and overland flow patterns are simulated. To alleviate some of the computational costs, local impacts of individual coastal storms can be explored by first identifying particular events or...
Authors
Li H. Erikson, Antonio Espejo, Patrick L. Barnard, Katherine A. Serafin, Christie Hegermiller, Andrea C. O'Neill, Peter Ruggerio, Patrick W. Limber, Fernando J. Mendez
Assessing and communicating the impacts of climate change on the Southern California coast Assessing and communicating the impacts of climate change on the Southern California coast
Over the course of this and the next century, the combination of rising sea levels, severe storms, and coastal erosion will threaten the sustainability of coastal communities, development, and ecosystems as we currently know them. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies for projected increased levels of coastal flooding and erosion...
Authors
Li H. Erikson, Patrick L. Barnard, Andrea C. O'Neill, Patrick Limber, Sean Vitousek, Juliette Finzi Hart, Maya Hayden, Jeanne M. Jones, Nathan J. Wood, Michael Fitzgibbon, Amy C. Foxgrover, Jessica Lovering