The data used for the journal paper submitted to the Journal of Geophysical Research: Oceans. This data can be used under the GNU license. The data are divided as follows: 1) The hurricane parameters (central pressure (mbar), radius of maximum wind (nm) and hurricane's forward velocity (km/hr)) data, 2) The peak storm surge height in meters (maxele) at the shoreline for the Mont Carlo (MC) and Polynomial Chaos Exapnsion (PCE) data sets, 3) The peak storm surge height in meters (maxele) at the shoreline for MC and PCE data sets, and 4) The maximum current speed in m/sec (maxvel) just before the shoreline for MC and PCE data sets. In order to use this data, please cite the pape
Damage due to hurricane storm surges remains a serious concern for coastal zones. As the world’s coa...
This dataset contains the probabilistic reanalysis of storm surge extremes presented in the paper: ...
The drag coefficient parameterization of wind stress is investigated for tropical storm conditions u...
The data used for the journal paper submitted to the Journal of Geophysical Research: Oceans. This ...
This archive corresponds to the data described in Alford et al. (2018) to be published in Geophysica...
Observational wave data and modeled wind data to accompany the article "Saturation of ocean surface ...
Development and simulation of synthetic hurricane tracks is a common methodology used to estimate h...
A study was made using wave height data collected during hurricane Camille. The objectives were to (...
The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) performs an annual review o...
Previous version contained the return levels of coastal significant wave height and sea surface elev...
The data are made available as part of the paper "Determining the sensitive parameters of WRF model ...
Previous version contained the return levels of coastal significant wave height and sea surface elev...
The database of the HWind project sponsored by the National Oceanic and Atmospheric Administration (...
Projecting losses associated with hurricanes is a complex and difficult undertaking that is fraught ...
Projecting losses associated with hurricanes is a complex and difficult undertaking that is fraught ...
Damage due to hurricane storm surges remains a serious concern for coastal zones. As the world’s coa...
This dataset contains the probabilistic reanalysis of storm surge extremes presented in the paper: ...
The drag coefficient parameterization of wind stress is investigated for tropical storm conditions u...
The data used for the journal paper submitted to the Journal of Geophysical Research: Oceans. This ...
This archive corresponds to the data described in Alford et al. (2018) to be published in Geophysica...
Observational wave data and modeled wind data to accompany the article "Saturation of ocean surface ...
Development and simulation of synthetic hurricane tracks is a common methodology used to estimate h...
A study was made using wave height data collected during hurricane Camille. The objectives were to (...
The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) performs an annual review o...
Previous version contained the return levels of coastal significant wave height and sea surface elev...
The data are made available as part of the paper "Determining the sensitive parameters of WRF model ...
Previous version contained the return levels of coastal significant wave height and sea surface elev...
The database of the HWind project sponsored by the National Oceanic and Atmospheric Administration (...
Projecting losses associated with hurricanes is a complex and difficult undertaking that is fraught ...
Projecting losses associated with hurricanes is a complex and difficult undertaking that is fraught ...
Damage due to hurricane storm surges remains a serious concern for coastal zones. As the world’s coa...
This dataset contains the probabilistic reanalysis of storm surge extremes presented in the paper: ...
The drag coefficient parameterization of wind stress is investigated for tropical storm conditions u...