Skip to main content
Advanced Search

Filters: Types: NetCDF OPeNDAP Service (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

45 results (8ms)   

Filters
Contacts (Less)
View Results as: JSON ATOM CSV
The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate ocean circulation, waves, and sediment transport to study barrier island breaches that occurred during Hurricane Matthew (2016) near Matazas FL, and Hurricane Sandy (2012) at Fire Island, NY. Hurricane Sandy was a Saffir-Simpson Category 2 hurricane that transited the Western Atlantic Ocean relatively far offshore of the US East Coast for five days until turning west to make landfall in New Jersey on 29 October 2012, causing extreme coastal erosion and flooding with destruction to residences and infrastructure along the East coast, particularly in the New York Bight. Maximum...
thumbnail
We used the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST; Warner and others, 2010) model to simulate ocean circulation, waves, and sediment transport in Barnegat Bay, New Jersey, during Hurricane Sandy. The simulation period was from October 27 to November 4, 2012. Initial conditions for the salinity and temperature fields in the domain were acquired from a 7-month simulation of the same domain (Defne and Ganju, 2018). We used a 2012 digital terrain model (Andrews and others, 2015) to prescribe the prestorm bathymetry. Wetting and drying was enabled, wave-current interaction was modeled with a boundary-layer formulation accounting for the apparent roughness of waves, and the vortex force formulation...
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: CMG_Portal, Earth Science > Human Dimensions > Natural Hazards > Floods, Earth Science > Oceans > Marine Sediments >Sediment Transport, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, All tags...
thumbnail
Marshes may drown if they are unable to accrete sediment at the rate of sea level rise, but predicting the rate of sediment accretion at different marshes is challenging because many processes (e.g. tidal range, wave frequency) and conditions (e.g. available sediment, vegetation density, shape of the marsh edge) impact it. The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST, Warner and others 2019; Warner and others 2010) model was used to simulate three-dimensional hydrodynamics, waves, and sediment transport on a marsh platform in an idealized domain. The computational grid was 400 (20) cells in the cross-shore (along-shore) directions with 10 vertical sigma layers, and a cross-shore horizontal resolution...
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: Earth Science > Oceans > Coastal Processes > Estuaries, Earth Science > Oceans > Coastal Processes > Marshes, Earth Science > Oceans > Coastal Processes > Sediment Transport, Earth Science > Oceans > Coastal Processes > Sedimentation, Hydrology, All tags...
thumbnail
Bias-corrected daily precipitation at 1-kilometer (km) scale is provided for Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to dynamically downscale the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the future projection period 2040–60. Total hourly precipitation data (convective plus non-convective) for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data...
thumbnail
The COAWST (Coupled Ocean-Atmosphere-Wave-Sediment Transport) modeling framework was extended to add two key processes that affect marshes, erosion due to lateral wave thrust (LWT) and vertical accretion due to biomass productivity. The testing of the combined effects of integrating these two processes was done by modeling marsh complexes within Forsythe National Wildlife Refuge and the Barnegat Bay (BB) estuary, New Jersey, USA. The simulations were performed first for the month of May 2015 for the entire Barnegat Bay. The Barnegat Bay estuary solution was used to force the two smaller domains that encompass Reedy and Dinner Creeks and are modeled for the same time period.
Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: CMG_Portal, Earth Science > Human Dimensions > Natural Hazards > Floods, Earth Science > Oceans > Marine Sediments >Sediment Transport, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, All tags...


map background search result map search result map USGS Barnegat Bay hydrodynamic model for Hurricane Sandy without swell, waves and wind (noSWW) COAWST model of Barnegat Bay creeks to demonstrate marsh dynamics Hurricane Sandy at Fire Island, NY using a constant bottom roughness over the barrier island Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the future projection period 2040-60 Idealized COAWST model cases for testing sensitivity of sediment transport and marsh accretion to vegetation, wave, and sediment parameters Hurricane Sandy at Fire Island, NY using a constant bottom roughness over the barrier island Idealized COAWST model cases for testing sensitivity of sediment transport and marsh accretion to vegetation, wave, and sediment parameters USGS Barnegat Bay hydrodynamic model for Hurricane Sandy without swell, waves and wind (noSWW) COAWST model of Barnegat Bay creeks to demonstrate marsh dynamics Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the future projection period 2040-60