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Tracking tropical cyclones using a new probabilistic tool to improve risk assessment

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HR Wallingford scientists have developed a method to allow for much more precise modelling of likely future cyclone events. We set out to develop tools to extract, analyse and quality control historical cyclone track data. We then investigated methods to simulate cyclone wind fields, and to investigate and validate the modelling of cyclone induced surge and waves. Cyclones were modelled using TELEMAC-2D and SWAN open-source software to predict surge and wave conditions at the site for each cyclone. This new Probabilistic Cyclone Modelling Tool which uses statistical models, in combination with surge and wave modelling, will improve the assessment of cyclone risk at specific locations. This can then be used to inform the design of coastal infrastructure such as seawalls and breakwaters to match the conditions of a specific site, and thus avoid the risks of either under or overdesign. More at: bit.ly/2zU2J6Y

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