Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1863-2022
https://doi.org/10.5194/nhess-22-1863-2022
Research article
 | 
07 Jun 2022
Research article |  | 07 Jun 2022

Generating reliable estimates of tropical-cyclone-induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks

Tim Willem Bart Leijnse, Alessio Giardino, Kees Nederhoff, and Sofia Caires

Related authors

A subgrid method for the linear inertial equations of a compound flood model
Maarten van Ormondt, Tim Leijnse, Roel de Goede, Kees Nederhoff, and Ap van Dongeren
EGUsphere, https://doi.org/10.5194/egusphere-2024-1839,https://doi.org/10.5194/egusphere-2024-1839, 2024
Short summary
Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
Kees Nederhoff, Maarten van Ormondt, Jay Veeramony, Ap van Dongeren, José Antonio Álvarez Antolínez, Tim Leijnse, and Dano Roelvink
Geosci. Model Dev., 17, 1789–1811, https://doi.org/10.5194/gmd-17-1789-2024,https://doi.org/10.5194/gmd-17-1789-2024, 2024
Short summary
A globally applicable framework for compound flood hazard modeling
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023,https://doi.org/10.5194/nhess-23-823-2023, 2023
Short summary
Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding
Mariana C. A. Clare, Tim W. B. Leijnse, Robert T. McCall, Ferdinand L. M. Diermanse, Colin J. Cotter, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 22, 2491–2515, https://doi.org/10.5194/nhess-22-2491-2022,https://doi.org/10.5194/nhess-22-2491-2022, 2022
Short summary
Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations
Kees Nederhoff, Jasper Hoek, Tim Leijnse, Maarten van Ormondt, Sofia Caires, and Alessio Giardino
Nat. Hazards Earth Syst. Sci., 21, 861–878, https://doi.org/10.5194/nhess-21-861-2021,https://doi.org/10.5194/nhess-21-861-2021, 2021
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
Brief communication: From modelling to reality – flood modelling gaps highlighted by a recent severe storm surge event along the German Baltic Sea coast
Joshua Kiesel, Claudia Wolff, and Marvin Lorenz
Nat. Hazards Earth Syst. Sci., 24, 3841–3849, https://doi.org/10.5194/nhess-24-3841-2024,https://doi.org/10.5194/nhess-24-3841-2024, 2024
Short summary
Inundation and evacuation of shoreline populations during landslide-triggered tsunamis: an integrated numerical and statistical hazard assessment
Emmie Malika Bonilauri, Catherine Aaron, Matteo Cerminara, Raphaël Paris, Tomaso Esposti Ongaro, Benedetta Calusi, Domenico Mangione, and Andrew John Lang Harris
Nat. Hazards Earth Syst. Sci., 24, 3789–3813, https://doi.org/10.5194/nhess-24-3789-2024,https://doi.org/10.5194/nhess-24-3789-2024, 2024
Short summary
Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model
Robert McCall, Curt Storlazzi, Floortje Roelvink, Stuart G. Pearson, Roel de Goede, and José A. Á. Antolínez
Nat. Hazards Earth Syst. Sci., 24, 3597–3625, https://doi.org/10.5194/nhess-24-3597-2024,https://doi.org/10.5194/nhess-24-3597-2024, 2024
Short summary
A brief history of tsunamis in the Vanuatu Arc
Jean H. M. Roger and Bernard Pelletier
Nat. Hazards Earth Syst. Sci., 24, 3461–3478, https://doi.org/10.5194/nhess-24-3461-2024,https://doi.org/10.5194/nhess-24-3461-2024, 2024
Short summary
Tsunami inundation and vulnerability analysis on the Makran coast, Pakistan
Rashid Haider, Sajid Ali, Gösta Hoffmann, and Klaus Reicherter
Nat. Hazards Earth Syst. Sci., 24, 3279–3290, https://doi.org/10.5194/nhess-24-3279-2024,https://doi.org/10.5194/nhess-24-3279-2024, 2024
Short summary

Cited articles

Alam, M. M., Hossain, M. A., and Shafee, S.: Frequency of Bay of Bengal cyclonic storms and depressions crossing different coastal zones, Int. J. Climatol., 23, 1119–1125, https://doi.org/10.1002/joc.927, 2003. 
Appendini, C. M., Pedrozo-Acuña, A., Meza-Padilla, R., Torres-Freyermuth, A., Cerezo-Mota, R., López-González, J., and Ruiz-Salcines, P.: On the Role of Climate Change on Wind Waves Generated by Tropical Cyclones in the Gulf of Mexico, Coast. Eng. J., 59, 1740001-1–1740001-32, https://doi.org/10.1142/S0578563417400010, 2017. 
Bloemendaal, N., Haigh, I. D., Moel, H. De, Muis, S., Haarsma, R. J., and Aerts, J. C. J. H.: Generation of a global synthetic tropical cyclone hazard dataset using STORM, Sci. Data, 7, 40, https://doi.org/10.1038/s41597-020-0381-2, 2020. 
Booij, N., Ris, R. C., and Holthuijsen, L. H.: A third-generation wave model for coastal regions: 1. Model description and validation, J. Geophys. Res., 104, 7649–7666, https://doi.org/10.1029/98JC02622, 1999. 
Short summary
Deriving reliable estimates of design conditions resulting from tropical cyclones is a challenge of high relevance to coastal engineering. Here, having few historical observations is overcome by using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) to create thousands of synthetic realizations, representative of 1000 years of tropical cyclone activity for the Bay of Bengal. The use of synthetic tracks is shown to provide more reliable wind speed, storm surge and wave estimates.
Altmetrics
Final-revised paper
Preprint