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
Viewed
Total article views: 4,523 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Oct 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,897 | 2,447 | 179 | 4,523 | 178 | 185 |
- HTML: 1,897
- PDF: 2,447
- XML: 179
- Total: 4,523
- BibTeX: 178
- EndNote: 185
Total article views: 3,594 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,645 | 1,791 | 158 | 3,594 | 162 | 170 |
- HTML: 1,645
- PDF: 1,791
- XML: 158
- Total: 3,594
- BibTeX: 162
- EndNote: 170
Total article views: 929 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Oct 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 252 | 656 | 21 | 929 | 16 | 15 |
- HTML: 252
- PDF: 656
- XML: 21
- Total: 929
- BibTeX: 16
- EndNote: 15
Cited
29 citations as recorded by crossref.
- Probabilistic assessment of tropical cyclone-induced storm surge hazards along the Bay of Bengal coast V. Adithyan et al. https://doi.org/10.1007/s11069-026-08196-5
- Wave condition prediction and uncertainty quantification based on SG-MCMC and deep learning model M. Yu et al. https://doi.org/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. https://doi.org/10.3390/jmse8030217
- Storm-surge modelling for cyclone Mora in the northern Bay of Bengal A. Tanim & A. Akter https://doi.org/10.1680/jmaen.2019.1
- Evaluation of a 3D unstructured grid model for the New York-New Jersey Harbor under different forcing sources K. Park et al. https://doi.org/10.1016/j.ocemod.2025.102598
- An operational storm surge numerical forecasting system for the Yangtze River Estuary (YRE-SURGE): model development and validation W. Guo et al. https://doi.org/10.1080/1755876X.2026.2698152
- Estimation of wave overtopping using integrated Delft3D and XBeach NH numerical Models: Case study of the Malecón, Havana, Cuba D. Córdova de Horta et al. https://doi.org/10.1016/j.oceaneng.2025.122460
- Sensitivity Analysis Of Hydrodynamic Modelling In Coastal Areas Using Sobol Method M. Rahardian https://doi.org/10.1088/1755-1315/1551/1/012058
- Quantum machine learning framework a novel approach for storm surge height estimation over the Bay of Bengal A. Amasarao et al. https://doi.org/10.1007/s00477-026-03237-8
- Increased coastal wave hazard generated by differential wind and wave direction in hyper-tidal estuaries C. Lyddon et al. https://doi.org/10.1016/j.ecss.2019.02.042
- Uncertainty in estuarine extreme water level predictions due to surge-tide interaction C. Lyddon et al. https://doi.org/10.1371/journal.pone.0206200
- Numerical Modeling of Historical Storm Tides and Waves and Their Interactions Along the U.S. East and Gulf Coasts R. Marsooli & N. Lin https://doi.org/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 https://doi.org/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. https://doi.org/10.1007/s11069-024-07038-6
- Modeling the effects of mangrove hybrid infrastructure for coastal flood protection M. Kramer et al. https://doi.org/10.1016/j.jenvman.2026.129594
- Wind forcing effect on hindcasting of typhoon-driven extreme waves W. Chen et al. https://doi.org/10.1016/j.oceaneng.2019.106260
- Parameter Estimation and Sensitivity Analysis of an Optimal Control Model for Capital Asset Management T. Latunde & O. Bamigbola https://doi.org/10.1155/2018/4756520
- Tracking historical storm records from high-barrier lagoon deposits on the southeastern coast of Hainan Island, China L. Zhou et al. https://doi.org/10.1007/s13131-021-1833-z
- Evaluation of different breakwater designs of a new port at Al-Max, Egypt A. Hamouda et al. https://doi.org/10.1016/j.ejar.2024.09.004
- Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts T. Chen et al. https://doi.org/10.3390/jmse13020354
- Bayesian Optimization for reanalysis and calibration of highly energetic sea state events simulated with a spectral third-generation wave model C. Goeury et al. https://doi.org/10.1016/j.apor.2026.105144
- Effective design of managed realignment schemes can reduce coastal flood risks J. Kiesel et al. https://doi.org/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 https://doi.org/10.3390/jmse6020054
- Hypothesis-driven sensitivity analysis of Delft3D flexible mesh hydrodynamic model: insights into coastal processes in the monsoonal tropical Goa Coast, India L. Okon et al. https://doi.org/10.1007/s10236-025-01724-0
- 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. https://doi.org/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. https://doi.org/10.5004/dwt.2023.29685
- Numerical modelling of storm tides in the Estuarine System of Santos, São Vicente and Bertioga (SP, Brazil) M. Ruiz et al. https://doi.org/10.1016/j.rsma.2021.101791
- Impacts of Hurricane Winds and Precipitation on Hydrodynamics in a Back‐Barrier Estuary A. Rey et al. https://doi.org/10.1029/2020JC016483
- Investigating the interaction of waves and river discharge during compound flooding at Breede Estuary, South Africa S. Kupfer et al. https://doi.org/10.5194/nhess-22-187-2022
29 citations as recorded by crossref.
- Probabilistic assessment of tropical cyclone-induced storm surge hazards along the Bay of Bengal coast V. Adithyan et al. https://doi.org/10.1007/s11069-026-08196-5
- Wave condition prediction and uncertainty quantification based on SG-MCMC and deep learning model M. Yu et al. https://doi.org/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. https://doi.org/10.3390/jmse8030217
- Storm-surge modelling for cyclone Mora in the northern Bay of Bengal A. Tanim & A. Akter https://doi.org/10.1680/jmaen.2019.1
- Evaluation of a 3D unstructured grid model for the New York-New Jersey Harbor under different forcing sources K. Park et al. https://doi.org/10.1016/j.ocemod.2025.102598
- An operational storm surge numerical forecasting system for the Yangtze River Estuary (YRE-SURGE): model development and validation W. Guo et al. https://doi.org/10.1080/1755876X.2026.2698152
- Estimation of wave overtopping using integrated Delft3D and XBeach NH numerical Models: Case study of the Malecón, Havana, Cuba D. Córdova de Horta et al. https://doi.org/10.1016/j.oceaneng.2025.122460
- Sensitivity Analysis Of Hydrodynamic Modelling In Coastal Areas Using Sobol Method M. Rahardian https://doi.org/10.1088/1755-1315/1551/1/012058
- Quantum machine learning framework a novel approach for storm surge height estimation over the Bay of Bengal A. Amasarao et al. https://doi.org/10.1007/s00477-026-03237-8
- Increased coastal wave hazard generated by differential wind and wave direction in hyper-tidal estuaries C. Lyddon et al. https://doi.org/10.1016/j.ecss.2019.02.042
- Uncertainty in estuarine extreme water level predictions due to surge-tide interaction C. Lyddon et al. https://doi.org/10.1371/journal.pone.0206200
- Numerical Modeling of Historical Storm Tides and Waves and Their Interactions Along the U.S. East and Gulf Coasts R. Marsooli & N. Lin https://doi.org/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 https://doi.org/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. https://doi.org/10.1007/s11069-024-07038-6
- Modeling the effects of mangrove hybrid infrastructure for coastal flood protection M. Kramer et al. https://doi.org/10.1016/j.jenvman.2026.129594
- Wind forcing effect on hindcasting of typhoon-driven extreme waves W. Chen et al. https://doi.org/10.1016/j.oceaneng.2019.106260
- Parameter Estimation and Sensitivity Analysis of an Optimal Control Model for Capital Asset Management T. Latunde & O. Bamigbola https://doi.org/10.1155/2018/4756520
- Tracking historical storm records from high-barrier lagoon deposits on the southeastern coast of Hainan Island, China L. Zhou et al. https://doi.org/10.1007/s13131-021-1833-z
- Evaluation of different breakwater designs of a new port at Al-Max, Egypt A. Hamouda et al. https://doi.org/10.1016/j.ejar.2024.09.004
- Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts T. Chen et al. https://doi.org/10.3390/jmse13020354
- Bayesian Optimization for reanalysis and calibration of highly energetic sea state events simulated with a spectral third-generation wave model C. Goeury et al. https://doi.org/10.1016/j.apor.2026.105144
- Effective design of managed realignment schemes can reduce coastal flood risks J. Kiesel et al. https://doi.org/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 https://doi.org/10.3390/jmse6020054
- Hypothesis-driven sensitivity analysis of Delft3D flexible mesh hydrodynamic model: insights into coastal processes in the monsoonal tropical Goa Coast, India L. Okon et al. https://doi.org/10.1007/s10236-025-01724-0
- 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. https://doi.org/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. https://doi.org/10.5004/dwt.2023.29685
- Numerical modelling of storm tides in the Estuarine System of Santos, São Vicente and Bertioga (SP, Brazil) M. Ruiz et al. https://doi.org/10.1016/j.rsma.2021.101791
- Impacts of Hurricane Winds and Precipitation on Hydrodynamics in a Back‐Barrier Estuary A. Rey et al. https://doi.org/10.1029/2020JC016483
- Investigating the interaction of waves and river discharge during compound flooding at Breede Estuary, South Africa S. Kupfer et al. https://doi.org/10.5194/nhess-22-187-2022
Saved (final revised paper)
Latest update: 22 Jul 2026
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...
Altmetrics
Final-revised paper
Preprint