Articles | Volume 19, issue 11
https://doi.org/10.5194/nhess-19-2359-2019
© Author(s) 2019. 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-19-2359-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimates of tropical cyclone geometry parameters based on best-track data
Kees Nederhoff
CORRESPONDING AUTHOR
Deltares USA, 8601 Georgia Ave., Silver Spring, MD 20910, USA
Alessio Giardino
Deltares, Marine and Coastal Systems, Boussinesqweg 1, 2629 HV Delft, the Netherlands
Maarten van Ormondt
Deltares, Marine and Coastal Systems, Boussinesqweg 1, 2629 HV Delft, the Netherlands
Deepak Vatvani
Deltares, Marine and Coastal Systems, Boussinesqweg 1, 2629 HV Delft, the Netherlands
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Cited
23 citations as recorded by crossref.
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- Process safety risk assessment against natural disasters: A cross-system scenario analysis perspective K. Shen et al. https://doi.org/10.1016/j.jlp.2025.105905
- Spatiotemporal changes in hurricane-force wind risk assessment in the Yucatan Peninsula, Mexico D. Romero & J. León-Cruz https://doi.org/10.1007/s11069-023-06397-w
- A semi-empirical method for computing storm surges on open coasts during tropical cyclones M. van Ormondt et al. https://doi.org/10.1016/j.coastaleng.2020.103839
- Assessing future coastal hazards due to Mediterranean hurricanes under sea-level rise and storm intensification A. Kushabaha et al. https://doi.org/10.1016/j.ijdrr.2026.106247
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- 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. https://doi.org/10.5194/nhess-22-1863-2022
- PyFlood: Rapid high-resolution coastal flood mapping with digital elevation model, land cover and water level data A. Santos Cruz et al. https://doi.org/10.1016/j.envsoft.2026.107010
- Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K. Nederhoff et al. https://doi.org/10.5194/gmd-17-1789-2024
- Assessing cyclone-induced flood risk in the Sundarbans using Delft3D and multicriteria analysis T. Zim & G. Hasan https://doi.org/10.2166/wcc.2026.480
- Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks T. Bakker et al. https://doi.org/10.1016/j.coastaleng.2022.104154
- Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS A. Sebastian et al. https://doi.org/10.1007/s11069-021-04922-3
- Cyclone modelling in the Western Indian Ocean – an application to the Comoros Islands J. Saulnier et al. https://doi.org/10.1080/27678490.2024.2439093
- Coastal vulnerability assessment of the western coastal zone of Bangladesh using a coupled surge-wave-hydrodynamic model M. Nujhat et al. https://doi.org/10.1016/j.ocecoaman.2025.107720
- Comparative study of typhoon wind hazard estimation in coastal region of China using different wind field parameter models M. Wei et al. https://doi.org/10.1016/j.jweia.2023.105398
- Role of Waves in Forecasting Extreme Coastal Flooding under a Warming Climate: Insights from Norfolk, Virginia C. Lashley et al. https://doi.org/10.1061/JWPED5.WWENG-2169
- Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts T. Chen et al. https://doi.org/10.3390/jmse13020354
- Impact of climate change on tropical cyclone wind and wave hazards and structural reliability of offshore wind turbines along the southeast coast of China C. Sheng et al. https://doi.org/10.1016/j.coastaleng.2025.104810
- Probabilistic storm surge and flood-inundation modeling of the Texas gulf coast using super-fast INundation of CoastS (SFINCS) W. Lee et al. https://doi.org/10.1016/j.coastaleng.2025.104721
- Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations C. Xu et al. https://doi.org/10.1007/s13753-023-00524-8
23 citations as recorded by crossref.
- Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding J. Dullaart et al. https://doi.org/10.1038/s43247-021-00204-9
- Graph-theoretical investigation of trajectory dynamics and size characteristics in tropical cyclones Y. Wang et al. https://doi.org/10.1007/s11069-025-07268-2
- Process safety risk assessment against natural disasters: A cross-system scenario analysis perspective K. Shen et al. https://doi.org/10.1016/j.jlp.2025.105905
- Spatiotemporal changes in hurricane-force wind risk assessment in the Yucatan Peninsula, Mexico D. Romero & J. León-Cruz https://doi.org/10.1007/s11069-023-06397-w
- A semi-empirical method for computing storm surges on open coasts during tropical cyclones M. van Ormondt et al. https://doi.org/10.1016/j.coastaleng.2020.103839
- Assessing future coastal hazards due to Mediterranean hurricanes under sea-level rise and storm intensification A. Kushabaha et al. https://doi.org/10.1016/j.ijdrr.2026.106247
- Estimation of tropical cyclone wind hazards in coastal regions of China G. Fang et al. https://doi.org/10.5194/nhess-20-1617-2020
- Scenario dynamics-informed enhancement of power grid resilience to typhoons K. Shen et al. https://doi.org/10.1016/j.ress.2026.112680
- Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations K. Nederhoff et al. https://doi.org/10.5194/nhess-21-861-2021
- 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. https://doi.org/10.5194/nhess-22-1863-2022
- PyFlood: Rapid high-resolution coastal flood mapping with digital elevation model, land cover and water level data A. Santos Cruz et al. https://doi.org/10.1016/j.envsoft.2026.107010
- Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K. Nederhoff et al. https://doi.org/10.5194/gmd-17-1789-2024
- Assessing cyclone-induced flood risk in the Sundarbans using Delft3D and multicriteria analysis T. Zim & G. Hasan https://doi.org/10.2166/wcc.2026.480
- Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks T. Bakker et al. https://doi.org/10.1016/j.coastaleng.2022.104154
- Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS A. Sebastian et al. https://doi.org/10.1007/s11069-021-04922-3
- Cyclone modelling in the Western Indian Ocean – an application to the Comoros Islands J. Saulnier et al. https://doi.org/10.1080/27678490.2024.2439093
- Coastal vulnerability assessment of the western coastal zone of Bangladesh using a coupled surge-wave-hydrodynamic model M. Nujhat et al. https://doi.org/10.1016/j.ocecoaman.2025.107720
- Comparative study of typhoon wind hazard estimation in coastal region of China using different wind field parameter models M. Wei et al. https://doi.org/10.1016/j.jweia.2023.105398
- Role of Waves in Forecasting Extreme Coastal Flooding under a Warming Climate: Insights from Norfolk, Virginia C. Lashley et al. https://doi.org/10.1061/JWPED5.WWENG-2169
- Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts T. Chen et al. https://doi.org/10.3390/jmse13020354
- Impact of climate change on tropical cyclone wind and wave hazards and structural reliability of offshore wind turbines along the southeast coast of China C. Sheng et al. https://doi.org/10.1016/j.coastaleng.2025.104810
- Probabilistic storm surge and flood-inundation modeling of the Texas gulf coast using super-fast INundation of CoastS (SFINCS) W. Lee et al. https://doi.org/10.1016/j.coastaleng.2025.104721
- Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations C. Xu et al. https://doi.org/10.1007/s13753-023-00524-8
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
Tropical cyclone wind models are often used in engineering applications. However, these models lack the required accuracy when the size of the tropical cyclone is not known. In this paper, new relationships are derived to describe parameters affecting the size. These relationships are formulated using observed data and make it possible to estimate tropical cyclone size and to use this information in tropical cyclone wind models to obtain more reliable estimates of the tropical cyclone winds.
Tropical cyclone wind models are often used in engineering applications. However, these models...
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