Articles | Volume 21, issue 4
Nat. Hazards Earth Syst. Sci., 21, 1313–1322, 2021
https://doi.org/10.5194/nhess-21-1313-2021
Nat. Hazards Earth Syst. Sci., 21, 1313–1322, 2021
https://doi.org/10.5194/nhess-21-1313-2021
Research article
29 Apr 2021
Research article | 29 Apr 2021

Extreme wind return periods from tropical cyclones in Bangladesh: insights from a high-resolution convection-permitting numerical model

Hamish Steptoe and Theodoros Economou

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Cited articles

Alam, A., Sammonds, P., and Ahmed, B.: Cyclone risk assessment of the Cox's Bazar district and Rohingya refugee camps in southeast Bangladesh, Sci. Total Environ., 704, 135360, https://doi.org/10.1016/j.scitotenv.2019.135360, 2020. 
Alam, E. and Dominey-Howes, D.: A new catalogue of tropical cyclones of the northern Bay of Bengal and the distribution and effects of selected landfalling events in Bangladesh, Int. J. Climatol., 35, 801–835, https://doi.org/10.1002/joc.4035, 2015. 
Alam, M. M., Hossain, M. A., and Shafee, S.: Frequency of Bay of Bengal cyclonic storms and depressions crossing different coastal zones, Int. J. Climatol., 23, 1119–1125, https://doi.org/10.1002/joc.927, 2003. 
Augustin, N. H., Sauleau, E.-A., and Wood, S. N.: On quantile quantile plots for generalized linear models, Comput. Stat. Data An., 56, 2404–2409, https://doi.org/10.1016/j.csda.2012.01.026, 2012. 
Balaguru, K., Taraphdar, S., Leung, L. R., and Foltz, G. R.: Increase in the intensity of postmonsoon Bay of Bengal tropical cyclones, Geophys. Res. Lett., 41, 3594–3601, https://doi.org/10.1002/2014GL060197, 2014. 
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Short summary
We use high-resolution computer simulations of tropical cyclones to investigate extreme wind speeds over Bangladesh. We show that some northern provinces, up to 200 km inland, may experience conditions equal to or exceeding a very severe cyclonic storm event with a likelihood equal to coastal regions less than 50 km inland. We hope that these kilometre-scale hazard maps facilitate one part of the risk assessment chain to improve local ability to make effective risk management decisions.
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