Articles | Volume 16, issue 3
https://doi.org/10.5194/nhess-16-705-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-705-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
11 Mar 2016
Research article | Highlight paper |
| 11 Mar 2016
Maximum wind radius estimated by the 50 kt radius: improvement of storm surge forecasting over the western North Pacific
Hiroshi Takagi
CORRESPONDING AUTHOR
Tokyo Institute of Technology, Graduate School of Science and Engineering, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Wenjie Wu
Tokyo Institute of Technology, Graduate School of Science and Engineering, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
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40 citations as recorded by crossref.
- Structural characteristics of North Indian Ocean tropical cyclones during 1999–2017: a scatterometer observation-based analysis S. Kumar et al. 10.1007/s00704-020-03431-w
- Comparative analysis of parametric cyclone models and relations for radius of maximum winds for storm surge simulations: case of Typhoon Meranti 2016 M. David & E. Cruz 10.1080/21664250.2021.1971451
- Development of a coupled genetic algorithm and empirical typhoon wind model and its application Y. Gong et al. 10.1016/j.oceaneng.2022.110723
- STORM SURGE AND HIGH WAVES DUE TO 1997 TYPHOON LINDA: UNINVESTIGATED WORST STORM EVENT IN SOUTHERN VIETNAM L. ANH et al. 10.2208/jscejoe.75.I_73
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- A novel deep learning approach for typhoon-induced storm surge modeling through efficient emulation of wind and pressure fields I. Mulia et al. 10.1038/s41598-023-35093-9
- Changes of tropical cyclone size in three oceanic basins of the northern hemisphere from 2001 to 2021 B. Zhang et al. 10.1007/s11707-022-1064-4
- Statistics on typhoon landfalls in Vietnam: Can recent increases in economic damage be attributed to storm trends? H. Takagi 10.1016/j.uclim.2019.100506
- Short-fetch high waves during the passage of 2019 Typhoon Faxai over Tokyo Bay H. Takagi & A. Takahashi 10.1007/s11707-021-0872-2
- Error Features in Predicting Typhoon Winds: A Case Study Comparing Simulated and Measured Data S. Peng et al. 10.3390/atmos13020158
- Typhoon parameter sensitivity of storm surge in the semi-enclosed Tokyo Bay M. Islam & H. Takagi 10.1007/s11707-020-0817-1
- Storm surge prediction improvement using high resolution meso-scale model products over the Bay of Bengal S. Mohanty et al. 10.1007/s11069-023-06160-1
- Characterizing Tropical Cyclones in the Energy Exascale Earth System Model Version 1 K. Balaguru et al. 10.1029/2019MS002024
- Hypoxic Bottom Waters as a Carbon Source to Atmosphere During a Typhoon Passage Over the East China Sea D. Li et al. 10.1029/2019GL083933
- Estimating Maximum Significant Wave Height and Dominant Wave Period inside Tropical Cyclones P. Hwang & E. Walsh 10.1175/WAF-D-17-0186.1
- Comparative climatology of outer tropical cyclone size using radial wind profiles A. Pérez-Alarcón et al. 10.1016/j.wace.2021.100366
- Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai H. Xu et al. 10.5194/nhess-22-2347-2022
- A Numerical Study on Storm Surge Dynamics Caused by Tropical Depression 29W in the Pahang Region N. Mohd Anuar et al. 10.3390/jmse11122223
- Future changes in typhoons and storm surges along the Pacific coast in Japan: proposal of an empirical pseudo-global-warming downscaling M. Toyoda et al. 10.1080/21664250.2021.2002060
- Research on and application of the operational storm surge ensemble forecast model in the Bay of Bengal Q. Liu et al. 10.1016/j.apor.2022.103413
- Advancing global storm surge modelling using the new ERA5 climate reanalysis J. Dullaart et al. 10.1007/s00382-019-05044-0
- Bias Correction of Tropical Cyclone Parameters in the ECMWF Ensemble Prediction System in Australia S. Aijaz et al. 10.1175/MWR-D-18-0377.1
- Field surveys and numerical modeling of the August 2016 Typhoon Lionrock along the northeastern coast of Japan: the first typhoon making landfall in Tohoku region M. Heidarzadeh et al. 10.1007/s11069-020-04112-7
- A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information M. Islam et al. 10.1038/s41598-021-95825-7
- Simulation of Storm Surge Heights Based on Reconstructed Historical Typhoon Best Tracks Using Expanded Wind Field Information S. Suh 10.3390/atmos14091461
- Track analysis and storm surge investigation of 2017 Typhoon Hato: were the warning signals issued in Macau and Hong Kong timed appropriately? H. Takagi et al. 10.1080/17499518.2018.1465573
- Typhoon track simulations in the North West Pacific: Informing a new wind map for Vietnam C. Nguyen et al. 10.1016/j.jweia.2020.104441
- A simple spatial model for extreme tropical cyclone seas R. Wada et al. 10.1016/j.oceaneng.2018.09.036
- An Efficient Tide-Surge Interaction Model for the Coast of Bangladesh M. Rahman et al. 10.1007/s13344-020-0006-8
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- Comparing cost-effectiveness of paddy fields and seawalls for coastal protection to reduce economic damage of typhoons in China R. Geng et al. 10.1016/j.ecoser.2020.101232
- Techno-Economic Assessment of Offshore Wind Energy in the Philippines G. Maandal et al. 10.3390/jmse9070758
- Feasibility of a self-powered movable seawall using microtidal energy in Japan H. Takagi et al. 10.1016/j.renene.2023.119563
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- Vulnerability of the Maritime Network to Tropical Cyclones in the Northwest Pacific and the Northern Indian Ocean Z. Shen et al. 10.3390/su11216176
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Latest update: 22 Apr 2024
Short summary
We proposed an Rmax estimation method based on the radius of the 50 knot wind (R50). The data obtained during the passage of strong typhoons by a meteorological station network in the Japanese archipelago enabled us to derive the following simple formula, Rmax = 0.23 R50. The proposed method is expected to increase the reliability of storm surge prediction and contribute to disaster risk management, particularly in the western North Pacific.
We proposed an Rmax estimation method based on the radius of the 50 knot wind (R50). The data...
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