Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-893-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-21-893-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A statistical–parametric model of tropical cyclones for hazard assessment
William C. Arthur
CORRESPONDING AUTHOR
Geoscience Australia, Canberra, ACT, 2601, Australia
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Cited
22 citations as recorded by crossref.
- Modeling on the trajectory and impacts of tropical cyclones highlighting the Hurricane Katrina 2005 J. Neto et al. https://doi.org/10.1007/s40808-023-01852-w
- Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive E. Asbridge et al. https://doi.org/10.1017/cft.2024.19
- Wave-driven sediment transport potential on a tropical coast: Implications for the northeastern Australian sediment budget D. Cowley & D. Harris https://doi.org/10.1016/j.margeo.2023.107104
- Tropical cyclone multi-hazard risk mapping for Queensland, Australia C. Do & Y. Kuleshov https://doi.org/10.1007/s11069-023-05833-1
- Relationship between Early-Stage Features and Lifetime Maximum Intensity of Tropical Cyclones over the Western North Pacific R. Lu & X. Tang https://doi.org/10.3390/atmos12070815
- Conversion of the Knutson et al. (2020) Tropical Cyclone Climate Change Projections to Risk Model Baselines S. Jewson https://doi.org/10.1175/JAMC-D-21-0102.1
- The interpretation and implications of the Knutsonet al. 2020 projections of changes in the frequency and intensity of tropical cyclones under climate change S. Jewson https://doi.org/10.1002/qj.4299
- 50-year wind speed maps for tropical-cyclone-affected regions using best track data K. Chapman-Smith et al. https://doi.org/10.5194/wes-11-1889-2026
- A geographically weighted regression full-track model of tropical cyclones for typhoon hazard assessment in coastal regions of China D. Zeng et al. https://doi.org/10.1016/j.jweia.2024.105660
- Investigation of Maxima Assumptions in Modelling Tropical Cyclone-Induced Hazards in the South China Sea Z. Wen et al. https://doi.org/10.1007/s13344-024-0038-6
- Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia W. Jian et al. https://doi.org/10.1016/j.wace.2023.100599
- 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
- Future projections of storm surges and associated coastal inundation along the east coast of India M. PLN & S. Kolukula https://doi.org/10.2166/wcc.2023.358
- Statistical Models for Storm Genesis Simulations Considering Intensity Variations in the Eastern North Pacific D. Hong & T. Vinh https://doi.org/10.1007/s41748-023-00356-y
- Fully coupled, high-resolution atmosphere–ocean–wave simulations of the offshore wind energy environment during Hurricane Henri (2021) C. Jung et al. https://doi.org/10.5194/wes-11-1321-2026
- Conversion of the Knutson et al. Tropical Cyclone Frequency Projections to North Atlantic Landfall S. Jewson https://doi.org/10.1175/JAMC-D-22-0056.1
- ComHazAsTC-RRE: Compound Hazard Assessment of Tropical Cyclones within Repeatable, Reproducible, and Expandable Framework Z. Zhou et al. https://doi.org/10.1016/j.jag.2024.104314
- Reask UTC: a machine learning modeling framework to generate climate-connected tropical cyclone event sets globally T. Loridan & N. Bruneau https://doi.org/10.5194/nhess-25-2863-2025
- Transformer-based full-track simulation of tropical cyclones B. Tong et al. https://doi.org/10.1016/j.jweia.2025.106176
- Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data T. Le Guenedal et al. https://doi.org/10.5194/gmd-15-8001-2022
- Applying historical records to extend the tropical cyclone climatology in southwestern Australia, 1830–2023 J. Aldridge & J. Christensen https://doi.org/10.1016/j.gloplacha.2025.104830
- An overview of tropical cyclone boundary layer (TCBL) modeling: From meteorological perspectives to wind engineering applications L. Hu & A. Kareem https://doi.org/10.1016/j.awe.2025.100097
22 citations as recorded by crossref.
- Modeling on the trajectory and impacts of tropical cyclones highlighting the Hurricane Katrina 2005 J. Neto et al. https://doi.org/10.1007/s40808-023-01852-w
- Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive E. Asbridge et al. https://doi.org/10.1017/cft.2024.19
- Wave-driven sediment transport potential on a tropical coast: Implications for the northeastern Australian sediment budget D. Cowley & D. Harris https://doi.org/10.1016/j.margeo.2023.107104
- Tropical cyclone multi-hazard risk mapping for Queensland, Australia C. Do & Y. Kuleshov https://doi.org/10.1007/s11069-023-05833-1
- Relationship between Early-Stage Features and Lifetime Maximum Intensity of Tropical Cyclones over the Western North Pacific R. Lu & X. Tang https://doi.org/10.3390/atmos12070815
- Conversion of the Knutson et al. (2020) Tropical Cyclone Climate Change Projections to Risk Model Baselines S. Jewson https://doi.org/10.1175/JAMC-D-21-0102.1
- The interpretation and implications of the Knutsonet al. 2020 projections of changes in the frequency and intensity of tropical cyclones under climate change S. Jewson https://doi.org/10.1002/qj.4299
- 50-year wind speed maps for tropical-cyclone-affected regions using best track data K. Chapman-Smith et al. https://doi.org/10.5194/wes-11-1889-2026
- A geographically weighted regression full-track model of tropical cyclones for typhoon hazard assessment in coastal regions of China D. Zeng et al. https://doi.org/10.1016/j.jweia.2024.105660
- Investigation of Maxima Assumptions in Modelling Tropical Cyclone-Induced Hazards in the South China Sea Z. Wen et al. https://doi.org/10.1007/s13344-024-0038-6
- Quantifying uncertainties in tropical cyclone wind hazard assessment due to synthetic track stochastic variability for Southeast Asia W. Jian et al. https://doi.org/10.1016/j.wace.2023.100599
- 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
- Future projections of storm surges and associated coastal inundation along the east coast of India M. PLN & S. Kolukula https://doi.org/10.2166/wcc.2023.358
- Statistical Models for Storm Genesis Simulations Considering Intensity Variations in the Eastern North Pacific D. Hong & T. Vinh https://doi.org/10.1007/s41748-023-00356-y
- Fully coupled, high-resolution atmosphere–ocean–wave simulations of the offshore wind energy environment during Hurricane Henri (2021) C. Jung et al. https://doi.org/10.5194/wes-11-1321-2026
- Conversion of the Knutson et al. Tropical Cyclone Frequency Projections to North Atlantic Landfall S. Jewson https://doi.org/10.1175/JAMC-D-22-0056.1
- ComHazAsTC-RRE: Compound Hazard Assessment of Tropical Cyclones within Repeatable, Reproducible, and Expandable Framework Z. Zhou et al. https://doi.org/10.1016/j.jag.2024.104314
- Reask UTC: a machine learning modeling framework to generate climate-connected tropical cyclone event sets globally T. Loridan & N. Bruneau https://doi.org/10.5194/nhess-25-2863-2025
- Transformer-based full-track simulation of tropical cyclones B. Tong et al. https://doi.org/10.1016/j.jweia.2025.106176
- Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data T. Le Guenedal et al. https://doi.org/10.5194/gmd-15-8001-2022
- Applying historical records to extend the tropical cyclone climatology in southwestern Australia, 1830–2023 J. Aldridge & J. Christensen https://doi.org/10.1016/j.gloplacha.2025.104830
- An overview of tropical cyclone boundary layer (TCBL) modeling: From meteorological perspectives to wind engineering applications L. Hu & A. Kareem https://doi.org/10.1016/j.awe.2025.100097
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We have developed a statistical–parametric model of tropical cyclones (TCs), to undertake hazard and risk assessments at continental scales. The model enables users to build an understanding of the likelihood and magnitude of TC-related wind speeds across full ocean basins but at a fine spatial resolution. The model can also be applied to single events, either scenarios or forecast events, to inform detailed impact assessments.
We have developed a statistical–parametric model of tropical cyclones (TCs), to undertake hazard...
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