Application of a synthetic cyclone method for assessment of tropical cyclone storm tides in Samoa
Autor: | Ron Hoeke, Kathleen L. McInnes, Graeme D. Hubbert, Julian O'Grady, Kevin Walsh |
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Rok vydání: | 2015 |
Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Storm surge 020206 networking & telecommunications Storm 02 engineering and technology Tropical cyclone scales 01 natural sciences Climatology Kona storm 0202 electrical engineering electronic engineering information engineering Earth and Planetary Sciences (miscellaneous) Extratropical cyclone Environmental science Cyclone Tropical cyclone 0105 earth and related environmental sciences Water Science and Technology Post-tropical cyclone |
Zdroj: | Natural Hazards. 80:425-444 |
ISSN: | 1573-0840 0921-030X |
DOI: | 10.1007/s11069-015-1975-4 |
Popis: | Tropical cyclone-induced storm surges cause damaging impacts in coastal regions. The present study uses a stochastic cyclone modelling approach to evaluate the likelihoods of storm tides, the combination of storm surges and astronomical tides, for Samoa. Cyclones that occurred in the vicinity of Samoa from 1969 to 2009 are used to build a stochastic tropical cyclone data set, and an analytic cyclone model and hydrodynamic model are used to model storm tides under average, La Nina and El Nino cyclone and sea level conditions for present climate conditions as well as cyclone and sea level conditions relevant for 2055, and storm tide return periods are estimated. We find that extreme storm tides exhibit relatively modest variation around the coastline of Samoa owing to the uniform width of the shelf surrounding the coastlines of two main islands of Savai’i and Upolu. The frequency of cyclones and hence storm tides during El Nino conditions is similar to the frequency for all seasons, but is considerably lower in La Nina conditions. For the future, tropical cyclones are assumed to undergo decreased frequency and increased intensity. This is found to lower the storm tide height for return periods |
Databáze: | OpenAIRE |
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