Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Mar 2021
Research article |
| 05 Mar 2021
| 05 Mar 2021
Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations
Kees Nederhoff
CORRESPONDING AUTHOR
Deltares USA, 8601 Georgia Ave, Silver Spring, MD 20910, USA
Jasper Hoek
Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the
Netherlands
Tim Leijnse
Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
Maarten van Ormondt
Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
Sofia Caires
Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
Alessio Giardino
Deltares, Boussinesqweg 1, Delft, 2629 HV, the Netherlands
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Cited
21 citations as recorded by crossref.
- Generating reliable estimates of tropical-cyclone-induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks T. Leijnse et al. 10.5194/nhess-22-1863-2022
- Estimation of tropical cyclone (TC) rainfall risk in South Korea using the integrated TC track and semi‐physical TC rainfall models A. Alcantara & K. Ahn 10.1002/joc.8001
- An improved machine learning-based model to predict estuarine water levels M. Gan et al. 10.1016/j.ocemod.2024.102376
- Improved accuracy of storm surge simulations by incorporating changing along‐track parameters B. Sridharan et al. 10.1002/joc.7620
- An environment-driven basin scale tropical cyclone model F. Hu et al. 10.1016/j.strusafe.2024.102480
- TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics X. Zhong et al. 10.1016/j.jweia.2024.105758
- A semantic notation for comparing global high-resolution coastal flooding studies F. Baart et al. 10.3389/feart.2024.1465040
- Tropical cyclone simulation models for resilience engineering – A review Y. Shi et al. 10.1016/j.ijdrr.2024.105042
- Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K. Nederhoff et al. 10.5194/gmd-17-1789-2024
- Tropical or extratropical cyclones: what drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast? K. Nederhoff et al. 10.1007/s11069-024-06552-x
- High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model M. Ko & N. Lu 10.1007/s00773-025-01060-4
- Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks T. Bakker et al. 10.1016/j.coastaleng.2022.104154
- Modeling and estimation of hurricane wind hazard affecting Mexican coastal regions H. Hong et al. 10.1016/j.jweia.2022.105199
- Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Potential Impacts M. Sohrabi et al. 10.1029/2023EF003731
- Hazard Assessment for Typhoon‐Induced Coastal Flooding and Inundation in Shanghai, China J. Yin et al. 10.1029/2021JC017319
- When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review M. Kuglitsch et al. 10.1088/1748-9326/acf601
- Rapid intensification of tropical cyclones in the Gulf of Mexico is more likely during marine heatwaves S. Radfar et al. 10.1038/s43247-024-01578-2
- HyTCWaves: A Hybrid model for downscaling Tropical Cyclone induced extreme Waves climate S. van Vloten et al. 10.1016/j.ocemod.2022.102100
- TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment W. Jiang et al. 10.1016/j.ress.2024.110350
- Cyclone modelling in the Western Indian Ocean – an application to the Comoros Islands J. Saulnier et al. 10.1080/27678490.2024.2439093
- Assessment of the tropical cyclone-induced risk on offshore wind turbines under climate change Z. Wen et al. 10.1007/s11069-023-06390-3
21 citations as recorded by crossref.
- Generating reliable estimates of tropical-cyclone-induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks T. Leijnse et al. 10.5194/nhess-22-1863-2022
- Estimation of tropical cyclone (TC) rainfall risk in South Korea using the integrated TC track and semi‐physical TC rainfall models A. Alcantara & K. Ahn 10.1002/joc.8001
- An improved machine learning-based model to predict estuarine water levels M. Gan et al. 10.1016/j.ocemod.2024.102376
- Improved accuracy of storm surge simulations by incorporating changing along‐track parameters B. Sridharan et al. 10.1002/joc.7620
- An environment-driven basin scale tropical cyclone model F. Hu et al. 10.1016/j.strusafe.2024.102480
- TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics X. Zhong et al. 10.1016/j.jweia.2024.105758
- A semantic notation for comparing global high-resolution coastal flooding studies F. Baart et al. 10.3389/feart.2024.1465040
- Tropical cyclone simulation models for resilience engineering – A review Y. Shi et al. 10.1016/j.ijdrr.2024.105042
- Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K. Nederhoff et al. 10.5194/gmd-17-1789-2024
- Tropical or extratropical cyclones: what drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast? K. Nederhoff et al. 10.1007/s11069-024-06552-x
- High-fidelity simulation study of real typhoon event in Taiwan using WRF-LES coupled model M. Ko & N. Lu 10.1007/s00773-025-01060-4
- Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks T. Bakker et al. 10.1016/j.coastaleng.2022.104154
- Modeling and estimation of hurricane wind hazard affecting Mexican coastal regions H. Hong et al. 10.1016/j.jweia.2022.105199
- Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Potential Impacts M. Sohrabi et al. 10.1029/2023EF003731
- Hazard Assessment for Typhoon‐Induced Coastal Flooding and Inundation in Shanghai, China J. Yin et al. 10.1029/2021JC017319
- When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review M. Kuglitsch et al. 10.1088/1748-9326/acf601
- Rapid intensification of tropical cyclones in the Gulf of Mexico is more likely during marine heatwaves S. Radfar et al. 10.1038/s43247-024-01578-2
- HyTCWaves: A Hybrid model for downscaling Tropical Cyclone induced extreme Waves climate S. van Vloten et al. 10.1016/j.ocemod.2022.102100
- TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment W. Jiang et al. 10.1016/j.ress.2024.110350
- Cyclone modelling in the Western Indian Ocean – an application to the Comoros Islands J. Saulnier et al. 10.1080/27678490.2024.2439093
- Assessment of the tropical cyclone-induced risk on offshore wind turbines under climate change Z. Wen et al. 10.1007/s11069-023-06390-3
Latest update: 23 Apr 2025
Short summary
The design of coastal protection affected by tropical cyclones is often based solely on the analysis of historical tropical cyclones (TCs). The simulation of numerous synthetic TC tracks based on historical data can overcome this limitation. In this paper, a new method for the generation of synthetic TC tracks is proposed, called the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE). TCWiSE can simulate thousands of tracks and wind fields in any oceanic basin based on any data source.
The design of coastal protection affected by tropical cyclones is often based solely on the...
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