Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-567-2020
© Author(s) 2020. 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-20-567-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
25 Feb 2020
Research article | Highlight paper |
| 25 Feb 2020
| 25 Feb 2020
Modelling global tropical cyclone wind footprints
James M. Done
CORRESPONDING AUTHOR
National Center for Atmospheric Research, 3090 Center Green Drive, Boulder, CO 80301, USA
Willis Research Network, 51 Lime St, London, EC3M 7DQ, UK
Ming Ge
National Center for Atmospheric Research, 3090 Center Green Drive, Boulder, CO 80301, USA
Greg J. Holland
National Center for Atmospheric Research, 3090 Center Green Drive, Boulder, CO 80301, USA
Willis Research Network, 51 Lime St, London, EC3M 7DQ, UK
Ioana Dima-West
Willis Towers Watson, 51 Lime St, London, EC3M 7DQ, UK
Samuel Phibbs
Willis Towers Watson, 51 Lime St, London, EC3M 7DQ, UK
Geoffrey R. Saville
Willis Towers Watson, 51 Lime St, London, EC3M 7DQ, UK
Yuqing Wang
International Pacific Research Center and Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawai`i at Mānoa, Honolulu, HI 96822, USA
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- Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations K. Nederhoff et al. 10.5194/nhess-21-861-2021
- The relationship between pre-landfall intensity change and post-landfall weakening of tropical cyclones over China W. Han et al. 10.3389/feart.2022.1082181
- Regional tropical cyclone impact functions for globally consistent risk assessments S. Eberenz et al. 10.5194/nhess-21-393-2021
- Impacts of Hurricane Dorian on the Bahamas: field observations of hazard intensity and performance of the built environment T. Kijewski-Correa et al. 10.1080/21664250.2021.1958613
- Machine Learning–Based Hurricane Wind Reconstruction Q. Yang et al. 10.1175/WAF-D-21-0077.1
- North Atlantic Tropical Cyclone Size and Storm Surge Reconstructions From 1950‐Present A. Gori et al. 10.1029/2022JD037312
- A high-fidelity parametric model for tropical cyclone boundary layer wind field by considering effects of land cover and terrain J. Yang et al. 10.1016/j.atmosres.2021.105701
- Exposure Assessment for Tropical Cyclone Epidemiology G. Anderson et al. 10.1007/s40572-022-00333-z
- Intercomparison of regional loss estimates from global synthetic tropical cyclone models S. Meiler et al. 10.1038/s41467-022-33918-1
- A new method to compile global multi-hazard event sets J. Claassen et al. 10.1038/s41598-023-40400-5
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- Extreme wind return periods from tropical cyclones in Bangladesh: insights from a high-resolution convection-permitting numerical model H. Steptoe & T. Economou 10.5194/nhess-21-1313-2021
- Observed Surface Wind Field Structure of Severe Tropical Cyclones and Associated Precipitation R. Du et al. 10.3390/rs15112808
- A 30 m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles R. Cécé et al. 10.5194/nhess-21-129-2021
20 citations as recorded by crossref.
- Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding K. Nederhoff et al. 10.5194/gmd-17-1789-2024
- Estimation of global tropical cyclone wind speed probabilities using the STORM dataset N. Bloemendaal et al. 10.1038/s41597-020-00720-x
- A globally consistent local-scale assessment of future tropical cyclone risk N. Bloemendaal et al. 10.1126/sciadv.abm8438
- Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations K. Nederhoff et al. 10.5194/nhess-21-861-2021
- The relationship between pre-landfall intensity change and post-landfall weakening of tropical cyclones over China W. Han et al. 10.3389/feart.2022.1082181
- Regional tropical cyclone impact functions for globally consistent risk assessments S. Eberenz et al. 10.5194/nhess-21-393-2021
- Impacts of Hurricane Dorian on the Bahamas: field observations of hazard intensity and performance of the built environment T. Kijewski-Correa et al. 10.1080/21664250.2021.1958613
- Machine Learning–Based Hurricane Wind Reconstruction Q. Yang et al. 10.1175/WAF-D-21-0077.1
- North Atlantic Tropical Cyclone Size and Storm Surge Reconstructions From 1950‐Present A. Gori et al. 10.1029/2022JD037312
- A high-fidelity parametric model for tropical cyclone boundary layer wind field by considering effects of land cover and terrain J. Yang et al. 10.1016/j.atmosres.2021.105701
- Exposure Assessment for Tropical Cyclone Epidemiology G. Anderson et al. 10.1007/s40572-022-00333-z
- Intercomparison of regional loss estimates from global synthetic tropical cyclone models S. Meiler et al. 10.1038/s41467-022-33918-1
- A new method to compile global multi-hazard event sets J. Claassen et al. 10.1038/s41598-023-40400-5
- Nearshore Hurricane Intensity Change and Post‐Landfall Dissipation Along The United States Gulf and East Coasts Y. Zhu et al. 10.1029/2021GL094680
- 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
- Estimation of tropical cyclone wind hazards in coastal regions of China G. Fang et al. 10.5194/nhess-20-1617-2020
- Forecasting tropical cyclone wind hazards and impacts: Summary from the Tenth International Workshop on Tropical Cyclones (IWTC-10) C. Earl-Spurr et al. 10.1016/j.tcrr.2023.06.002
- Extreme wind return periods from tropical cyclones in Bangladesh: insights from a high-resolution convection-permitting numerical model H. Steptoe & T. Economou 10.5194/nhess-21-1313-2021
- Observed Surface Wind Field Structure of Severe Tropical Cyclones and Associated Precipitation R. Du et al. 10.3390/rs15112808
- A 30 m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles R. Cécé et al. 10.5194/nhess-21-129-2021
Latest update: 19 Apr 2024
Short summary
Assessing tropical cyclone (TC) wind risk is challenging due to a lack of historical TC wind data. This paper presents a novel approach to simulating landfalling TC winds anywhere on Earth. It captures local features such as high winds over coastal hills and lulls over rough terrain. A dataset of over 700 global historical wind footprints has been generated to provide new views of historical events. This dataset can be used to advance our understanding of overland TC wind risk.
Assessing tropical cyclone (TC) wind risk is challenging due to a lack of historical TC wind...
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