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This dataset consists of physics-based Delft3D model and Delwaq model input files used in modeling sediment deposition and concentrations around the coral reefs of west Maui, Hawaii. The Delft3D models were used to simulate waves and currents under small (SC1) and large (‘SC2’) wave conditions for current stream discharge (‘Alt1’) and stream discharge with watershed restoration (‘Alt3’). Delft3D model results were subsequently used as forcing conditions for Delwaq models to simulate sediment transport and dispersion. The Delwaq models were used to simulate sediment transport and concentrations under the same two wave and stream discharge scenarios. The Delwaq models were run using forcing conditions generated by...
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This data release includes representative cluster profiles (RCPs) from a large (>24,000) selection of coral reef topobathymetric cross-shore profiles (Scott and others, 2020). We used statistics, machine learning, and numerical modelling to develop the set of RCPs, which can be used to accurately represent the shoreline hydrodynamics of a large variety of coral reef-lined coasts around the globe. In two stages, the data were reduced by clustering cross-shore profiles based on morphology and hydrodynamic response to typical wind and swell wave conditions. By representing a large variety of coral reef morphologies with a reduced number of RCPs, a computationally feasible number of numerical model simulations can be...
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Here we present surface current results from a physics-based, 3-dimensional coupled ocean-atmosphere numerical model that was generated to understand coral larval dispersal patterns in Maui Nui, Hawaii, USA. The model was used to simulate coral larval dispersal patterns from a number of existing State-managed reefs and large tracks of reefs with high coral coverage that might be good candidates for marine-protected areas (MPAs) during 8 spawning events during 2010-2013. The goal of this effort is to provide geophysical data to help provide guidance to sustain coral health in Maui Nui, Hawaii, USA. Each model output run is available as a netCDF file with self-contained attribute information. Each file name is appended...
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A set of physics-based XBeach Non-hydrostatic hydrodynamic model simulations (with input files here included) were used to evaluate how varying carbonate budgets, and thus coral reef accretion and degradation, affect alongshore variations in wave-driven water levels along the adjacent shoreline of Buck Island Reef National Monument (BUIS) for a number of sea-level rise scenarios, specifically during extreme wave conditions when the risk for coastal flooding and the resulting impact to coastal communities is greatest. These input files accompany the modeling conducted for the following publication: Toth, L.T., Storlazzi, C.D., Kuffner, I.B., Quataert, E., Reyns, J., McCall, R.T., Stathakopoulos, A., Hillis-Starr,...
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Simulatations of water levels in the Salish Sea for a continuous hindcast of the period October 1, 1985, to September 30, 2015 were conducted to evaluate the utility and skill of a sea-level anomaly predictor and to develop extreme water level estimates accounting for decadal climate variability. The model accounts for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Comparison of modeled and measured water levels showed the model predicts extreme water levels at NOAA tide gage stations within 0.15 m. Model inputs and outputs of time-series water levels along the -5 m depth isobath are presented. In addition, extreme water level recurrence...
A process-based wave-resolving hydrodynamic model (XBeach Non-Hydrostatic, ‘XBNH’) was used to create a large synthetic database for use in a “Bayesian Estimator for Wave Attack in Reef Environments” (BEWARE), relating incident hydrodynamics and coral reef geomorphology to coastal flooding hazards on reef-lined coasts. Building on previous work, BEWARE improves system understanding of reef hydrodynamics by examining the intrinsic reef and extrinsic forcing factors controlling runup and flooding on reef-lined coasts. The Bayesian estimator has high predictive skill for the XBNH model outputs that are flooding indicators, and was validated for a number of available field cases. BEWARE is a potentially powerful tool...
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This data release contains gridded bathymetry data from repeated multibeam sonar surveys and input files for a hydrodynamic and sediment transport model application of the mouth of the Columbia River (MCR), Oregon and Washington. The bathymetry data were collected by the U.S. Army Corps of Engineers Portland District Surveys Section between September 9, 2020, and March 10, 2021, to characterize the morphology and dispersal of a nearshore berm composed of 216,000 m3 of sand-sized sediment that was dredged from the MCR navigation channel and placed on the northern flank of the ebb-tidal delta in water depths between 12 and 15 m. Observations of berm morphology were compared with predictions from a three-dimensional...
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Simulations of water levels in the Salish Sea over the period October 1, 2016 to September 30, 2020 were conducted to validate the Salish Sea hydrodynamic model. The model accounts for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Comparison of modeled and measured water levels showed the model predicts extreme water levels at NOAA and USGS tide gage stations within 0.15 m. Model inputs and outputs of time-series forcing and water levels, respectively, are presented.
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This data set consists of physics-based Delft3D-FLOW and WAVE hydrodynamic models input files used for Coastal Storm Modeling System (CoSMoS) Tier 1 simulations. Tier 1 simulations cover the Northern California open-coast region, from the Golden Gate Bridge to the California/Oregon state border, and they provide boundary conditions to higher-resolution simulations. Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level rise (SLR) scenarios.
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Simulations of the period 2016-2099 were conducted using the Salish Sea hydrodynamic model to evaluate extreme water levels associated with anticipated changes in sea level and climate forcing. The model projections accounting for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Dynamically downscaled Weather Research and Forecasting (WRF) CMIP5 GFDL wind and atmospheric pressure fields were prescribed over the model open boundary and used to compute sea-level anomaly prescribed at the model ocean boundary. Simulations were made for eight different Sea-Level Rise (SLR) conditions, 0, 0.25, 0.5, 1, 1.5, 2, 3, and 5 meters relative to...
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A two-dimensional hydrodynamic model of the Salish Sea was constructed using the Delft3D Flexible Mesh Suite (Deltares, 2020) to simulate still water levels in the past and future and evaluate extreme recurrence water level events accounting for sea level rise and climate change. Three sets of model simulations were performed following Grossman and others (2023). The first simulated the water years (October 1 – September 30) of 2017 to 2020 to validate the model and assess model error. The second simulation used the validated model to evaluate the period 1985-2015, the utility of a computed “remote sea level anomaly predictor” important to understanding of extreme water levels inside the Salish Sea, and to quantify...
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Projected future wave-driven flooding depths on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands for a range of climate-change scenarios. This study utilized field data to calibrate oceanographic and hydrogeologic models, which were then used with climate-change and sea-level rise projections to explore the effects of sea-level rise and wave-driven flooding on atoll islands and their freshwater resources. The overall objective of this effort, due to the large uncertainty in future emissions (and thus climate change scenarios) that is largely irreducible, was to reduce risk and increase island resiliency by providing model simulations across a range of plausible future conditions. This...
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This dataset consists of physics-based Delft3D-FLOW and WAVE hydrodynamic models input files used for Coastal Storm Modeling System (CoSMoS) tier 2 simulations. These sub-regional simulations cover portions of the Northern California open-coast region; boundary conditions are derived from regional Tier 1 simulations. These Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level rise (SLR) scenarios.


    map background search result map search result map Physics-based numerical circulation model outputs of ocean surface circulation during the 2010-2013 summer coral-spawning seasons in Maui Nui, Hawaii, USA Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument Model parameter input files to compare effects of stream discharge scenarios on sediment deposition and concentrations around coral reefs off west Maui, Hawaii CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files Salish Sea Hydrodynamic Model Salish Sea water level validation simulations: 2017-2020 Salish Sea water level hindcast simulations: 1985-2015 Salish Sea water level simulation projections: 2016-2099 CoSMoS 3.2 Northern California sub-regional tier 2 FLOW-WAVE model input files Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument Model parameter input files to compare effects of stream discharge scenarios on sediment deposition and concentrations around coral reefs off west Maui, Hawaii Physics-based numerical circulation model outputs of ocean surface circulation during the 2010-2013 summer coral-spawning seasons in Maui Nui, Hawaii, USA CoSMoS 3.2 Northern California sub-regional tier 2 FLOW-WAVE model input files Salish Sea Hydrodynamic Model Salish Sea water level validation simulations: 2017-2020 Salish Sea water level hindcast simulations: 1985-2015 Salish Sea water level simulation projections: 2016-2099 CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files