ESTIMATING METEO-TSUNAMI OCCURRENCES FOR THE US EAST COAST
ICCE 2018 Cover Image
PDF (Inglés)

Cómo citar

ESTIMATING METEO-TSUNAMI OCCURRENCES FOR THE US EAST COAST. (2018). Coastal Engineering Proceedings, 1(36), currents.66. https://doi.org/10.9753/icce.v36.currents.66

Resumen

Meteorological tsunamis, also called meteo-tsunamis, are significant ocean surface waves generated by atmospheric forcing. The waves typically result from energy transfer from atmosphere to ocean through the Proudman resonance phenomena, where translation speed of the storm system in the atmosphere coincides with the free wave speed of long surface waves. These tsunami-like waves can be hazardous, either through direct inundation of shorelines or through generation of harbor oscillations and other disruptions to maritime activities. The wide continental shelf bathymetry of the United States (US) East Coast provides a long potential fetch length for the resonant generation process, making the region particularly susceptible to meteo-tsunamis. In this study, we carry out a probabilistic analysis of potential meteo-tsunami hazard on the US East Coast, extending the earlier work of Geist et al. (2014) to include a wider range of storm conditions and additional response types including coastally-trapped edge waves. The work, carried out under the auspices of the National Tsunami Hazard Mitigation Program (NTHMP), extends the previous efforts of Geist et al. to include a representation of inundation and maritime hazards in at-risk areas. The work is conducted using the fully nonlinear Boussinesq wave model FUNWAVE-TVD (Shi et al., 2012), extended to include atmospheric pressure and wind forcing.
PDF (Inglés)

Referencias

NOAA (2014) An Examination of the June 2013 East Coast Meteotsunami Captured By NOAA Observing Systems: NOAA Technical Report https://tidesandcurrents.noaa.gov/publications/NOS_CO OPS_079.pdf

Pasquet, Vilibic (2013) Shelf edge reflection of atmospherically generated long ocean waves along the central U.S. East Coast: Continental Shelf Research, vol. 66 pp. 1-8.

Geist, ten Brink, Gove (2014). A framework for the probabilistic analysis of meteotsunamis: Natural Hazards, vol. 74. pp. 123-142

Authors retain copyright and grant the Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Proceedings.