Articles | Volume 16, issue 10
https://doi.org/10.5194/nhess-16-2195-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2195-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Sep 2016
Research article |
| 30 Sep 2016
Parameter sensitivity and uncertainty analysis for a storm surge and wave model
Luis A. Bastidas
CORRESPONDING AUTHOR
ENERCON Services Inc., Pittsburgh,
Pennsylvania, USA
James Knighton
ENERCON Services Inc., Pittsburgh,
Pennsylvania, USA
now at: Cornell University, Ithaca, New
York, USA
Shaun W. Kline
ENERCON Services Inc., Pittsburgh,
Pennsylvania, USA
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- Uncertainty in estuarine extreme water level predictions due to surge-tide interaction C. Lyddon et al. 10.1371/journal.pone.0206200
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- Numerical Modeling of Historical Storm Tides and Waves and Their Interactions Along the U.S. East and Gulf Coasts R. Marsooli & N. Lin 10.1029/2017JC013434
- A high-resolution coupled circulation-wave model for regional dynamic downscaling of water levels and wind waves in the western North Atlantic ocean A. Al Azad & R. Marsooli 10.1016/j.oceaneng.2024.118869
- Influence of wave setup and tide-surge interaction on storm surges in the Bay of Bengal V. Adithyan et al. 10.1007/s11069-024-07038-6
- Model Sensitivity during Extreme Positive and Negative Surges in the Río de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System M. Dinápoli et al. 10.1175/WAF-D-19-0171.1
- Development and validation of a coupled storm surge and wave model for the coast of Shanghai X. Zhang et al. 10.5004/dwt.2023.29685
- Wind forcing effect on hindcasting of typhoon-driven extreme waves W. Chen et al. 10.1016/j.oceaneng.2019.106260
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20 citations as recorded by crossref.
- Wave condition prediction and uncertainty quantification based on SG-MCMC and deep learning model M. Yu et al. 10.1016/j.ocemod.2025.102547
- Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan S. Hsiao et al. 10.3390/jmse8030217
- Storm-surge modelling for cyclone Mora in the northern Bay of Bengal A. Tanim & A. Akter 10.1680/jmaen.2019.1
- Tracking historical storm records from high-barrier lagoon deposits on the southeastern coast of Hainan Island, China L. Zhou et al. 10.1007/s13131-021-1833-z
- Evaluation of different breakwater designs of a new port at Al-Max, Egypt A. Hamouda et al. 10.1016/j.ejar.2024.09.004
- Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts T. Chen et al. 10.3390/jmse13020354
- Increased coastal wave hazard generated by differential wind and wave direction in hyper-tidal estuaries C. Lyddon et al. 10.1016/j.ecss.2019.02.042
- Uncertainty in estuarine extreme water level predictions due to surge-tide interaction C. Lyddon et al. 10.1371/journal.pone.0206200
- Effective design of managed realignment schemes can reduce coastal flood risks J. Kiesel et al. 10.1016/j.ecss.2020.106844
- Storm Surge and Wave Impact of Low-Probability Hurricanes on the Lower Delaware Bay—Calibration and Application M. Salehi 10.3390/jmse6020054
- Numerical Modeling of Historical Storm Tides and Waves and Their Interactions Along the U.S. East and Gulf Coasts R. Marsooli & N. Lin 10.1029/2017JC013434
- A high-resolution coupled circulation-wave model for regional dynamic downscaling of water levels and wind waves in the western North Atlantic ocean A. Al Azad & R. Marsooli 10.1016/j.oceaneng.2024.118869
- Influence of wave setup and tide-surge interaction on storm surges in the Bay of Bengal V. Adithyan et al. 10.1007/s11069-024-07038-6
- Model Sensitivity during Extreme Positive and Negative Surges in the Río de la Plata Estuary: Highlighting the Need for an Appropriate Hindcast/Forecast System M. Dinápoli et al. 10.1175/WAF-D-19-0171.1
- Development and validation of a coupled storm surge and wave model for the coast of Shanghai X. Zhang et al. 10.5004/dwt.2023.29685
- Wind forcing effect on hindcasting of typhoon-driven extreme waves W. Chen et al. 10.1016/j.oceaneng.2019.106260
- Numerical modelling of storm tides in the Estuarine System of Santos, São Vicente and Bertioga (SP, Brazil) M. Ruiz et al. 10.1016/j.rsma.2021.101791
- Parameter Estimation and Sensitivity Analysis of an Optimal Control Model for Capital Asset Management T. Latunde & O. Bamigbola 10.1155/2018/4756520
- Impacts of Hurricane Winds and Precipitation on Hydrodynamics in a Back‐Barrier Estuary A. Rey et al. 10.1029/2020JC016483
- Investigating the interaction of waves and river discharge during compound flooding at Breede Estuary, South Africa S. Kupfer et al. 10.5194/nhess-22-187-2022
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Short summary
We present a model parameter sensitivity and uncertainty analysis of the Delft3D model for the simulation of storm hazards. The sensitive model parameters include wind drag, depth-induced breaking, and bottom roughness. Several parameters show no sensitivity and can therefore be excluded to reduce the computational overburden of probabilistic surge hazard estimates. A comparison of the model performance with forcings from three different wind models is also presented.
We present a model parameter sensitivity and uncertainty analysis of the Delft3D model for the...
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