Modeling Scientist, Contractor from Deltares
Science and Products
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
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
Wave model results of the central Beaufort Sea coast, Alaska
A three-level SWAN (version 41.31) nesting grid has been developed for the central Beaufort Sea coast to simulate waves over the hindcast period 1979 - 2019. The model includes the implementations of sea ice by Rogers (2019) and includes both 1) a dissipation source term and 2) a scaling of wind input source as functions by sea ice. The bathymetric dataset used for the model is the International
Hydrodynamic model of the San Francisco Bay and Delta, California
A two-dimensional hydrodynamic model of the San Francisco Bay and Delta was constructed using the Delft3D Flexible Mesh (DFM) modeling suite (www.deltares.nl/en/software/delft3d-flexible-mesh-suite/) to simulate water levels. Required model input files are provided to run the model for the time period from October 1, 2018, to April 30, 2019. This data release describes the construction and validat
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, Kees Nederhoff, Patrick L. Barnard, Sanne Muis
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, Kees 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
Numerical model characterization of sediment transport potentials pre- and post-construction of an artificial island in Foggy Island Bay, Alaska
The anticipated construction of the Liberty Development Island near Prudhoe Bay, Alaska, has created a need to understand how the island may influence sediment transport patterns and deposition on the nearby Boulder Patch ecosystem. This study uses a numerical model to characterize sediment transport pathways in Foggy Island Bay with and without the artificial island in place. We present the Delft
Authors
Kees Nederhoff, Li H. Erikson, Anita C Engelstad, Stuart Pearson
The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast
Diminishing sea ice is impacting the wave field across the Arctic region. Recent observation- and model-based studies highlight the spatiotemporal influence of sea ice on offshore wave climatologies, but effects within the nearshore region are still poorly described. This study characterizes the wave climate in the central Beaufort Sea coast from 1979 to 2019 by utilizing a wave hindcast model tha
Authors
Kees Nederhoff, Li H. Erikson, Anita C Engelstad, Peter A. Bieniek, Jeremy L. Kasper
Drivers of extreme water levels in a large, urban, high-energy coastal estuary – A case study of the San Francisco Bay
Reliable and long-term hindcast data of water levels are essential in quantifying return period and values of extreme water levels. In order to inform design decisions on a local flood control district level, process-based numerical modeling has proven an essential tool to provide the needed temporal and spatial coverage for different extreme value analysis methods. To determine the importance of
Authors
Kees Nederhoff, Rohin Saleh, Babak Tehranirad, Liv M. Herdman, Li H. Erikson, Patrick L. Barnard, Mick Van der Wegen
Science and Products
- Data
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 plannFuture 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 theWave model results of the central Beaufort Sea coast, Alaska
A three-level SWAN (version 41.31) nesting grid has been developed for the central Beaufort Sea coast to simulate waves over the hindcast period 1979 - 2019. The model includes the implementations of sea ice by Rogers (2019) and includes both 1) a dissipation source term and 2) a scaling of wind input source as functions by sea ice. The bathymetric dataset used for the model is the InternationalHydrodynamic model of the San Francisco Bay and Delta, California
A two-dimensional hydrodynamic model of the San Francisco Bay and Delta was constructed using the Delft3D Flexible Mesh (DFM) modeling suite (www.deltares.nl/en/software/delft3d-flexible-mesh-suite/) to simulate water levels. Required model input files are provided to run the model for the time period from October 1, 2018, to April 30, 2019. This data release describes the construction and validat - Publications
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 correctiAuthorsKai Alexander Parker, Li H. Erikson, Jennifer Anne Thomas, Kees Nederhoff, Patrick L. Barnard, Sanne MuisRapid 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 inteAuthorsTim Leijnse, Kees 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. BarnardNumerical model characterization of sediment transport potentials pre- and post-construction of an artificial island in Foggy Island Bay, Alaska
The anticipated construction of the Liberty Development Island near Prudhoe Bay, Alaska, has created a need to understand how the island may influence sediment transport patterns and deposition on the nearby Boulder Patch ecosystem. This study uses a numerical model to characterize sediment transport pathways in Foggy Island Bay with and without the artificial island in place. We present the DelftAuthorsKees Nederhoff, Li H. Erikson, Anita C Engelstad, Stuart PearsonThe effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast
Diminishing sea ice is impacting the wave field across the Arctic region. Recent observation- and model-based studies highlight the spatiotemporal influence of sea ice on offshore wave climatologies, but effects within the nearshore region are still poorly described. This study characterizes the wave climate in the central Beaufort Sea coast from 1979 to 2019 by utilizing a wave hindcast model thaAuthorsKees Nederhoff, Li H. Erikson, Anita C Engelstad, Peter A. Bieniek, Jeremy L. KasperDrivers of extreme water levels in a large, urban, high-energy coastal estuary – A case study of the San Francisco Bay
Reliable and long-term hindcast data of water levels are essential in quantifying return period and values of extreme water levels. In order to inform design decisions on a local flood control district level, process-based numerical modeling has proven an essential tool to provide the needed temporal and spatial coverage for different extreme value analysis methods. To determine the importance ofAuthorsKees Nederhoff, Rohin Saleh, Babak Tehranirad, Liv M. Herdman, Li H. Erikson, Patrick L. Barnard, Mick Van der Wegen