Articles | Volume 16, issue 10
https://doi.org/10.5194/nhess-16-2195-2016
https://doi.org/10.5194/nhess-16-2195-2016
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, James Knighton, and Shaun W. Kline

Related authors

Hydrological model parameter dimensionality is a weak measure of prediction uncertainty
S. Pande, L. Arkesteijn, H. Savenije, and L. A. Bastidas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-3945-2015,https://doi.org/10.5194/hessd-12-3945-2015, 2015
Revised manuscript not accepted

Related subject area

Sea, Ocean and Coastal Hazards
Volcano tsunamis and their effects on moored vessel safety: the 2022 Tonga event
Sergio Padilla, Íñigo Aniel-Quiroga, Rachid Omira, Mauricio González, Jihwan Kim, and Maria A. Baptista
Nat. Hazards Earth Syst. Sci., 24, 3095–3113, https://doi.org/10.5194/nhess-24-3095-2024,https://doi.org/10.5194/nhess-24-3095-2024, 2024
Short summary
Modelling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci., 24, 2773–2791, https://doi.org/10.5194/nhess-24-2773-2024,https://doi.org/10.5194/nhess-24-2773-2024, 2024
Short summary
Estuarine hurricane wind can intensify surge-dominated extreme water level in shallow and converging coastal systems
Mithun Deb, James J. Benedict, Ning Sun, Zhaoqing Yang, Robert D. Hetland, David Judi, and Taiping Wang
Nat. Hazards Earth Syst. Sci., 24, 2461–2479, https://doi.org/10.5194/nhess-24-2461-2024,https://doi.org/10.5194/nhess-24-2461-2024, 2024
Short summary
Revisiting regression methods for estimating long-term trends in sea surface temperature
Ming-Huei Chang, Yen-Chen Huang, Yu-Hsin Cheng, Chuen-Teyr Terng, Jinyi Chen, and Jyh Cherng Jan
Nat. Hazards Earth Syst. Sci., 24, 2481–2494, https://doi.org/10.5194/nhess-24-2481-2024,https://doi.org/10.5194/nhess-24-2481-2024, 2024
Short summary
Global application of a regional frequency analysis to extreme sea levels
Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 24, 2403–2423, https://doi.org/10.5194/nhess-24-2403-2024,https://doi.org/10.5194/nhess-24-2403-2024, 2024
Short summary

Cited articles

Adrani, S. and Kaihatu, J.: Uncertainty analysis and parameter estimation for nearshore hydrodynamic models, in AGU Fall Meeting, p. OS21B-1753, San Francisco, CA, 3–7 December 2012.
Akpınar, A., van Vledder, G. P., Kömürcü, M. İ., and Özger, M.: Evaluation of the numerical wave model (SWAN) for wave simulation in the Black Sea, Cont. Shelf Res., 50, 80–99, 2012.
Andreas, E. L., Mahrt, L., and Vickers, D.: A new drag relation for aerodynamically rough flow over the ocean, J. Atmos. Sci., 69, 2520–2537, 2012.
AOML: Atlanic Oceanographic and Meteorological Laboratory: Hurricane Data, available at: http://www.aoml.noaa.gov/hrd/data_sub/hurr.html, last access: May 2015.
Bacopoulos, P., Hagen, S. C., Cox, A. T., Dally, W. R., and Bratos, S.: Observation and simulation of winds and hydrodynamics in St. Johns and Nassau Rivers, Paper 177, US Army Research, 2012.
Download
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.
Altmetrics
Final-revised paper
Preprint