A framework for the probabilistic analysis of meteotsunamis
MetadataShow full item record
KeywordMeteotsunami; Probabilistic analysis; Squall line; Derecho; Shallow-water wave; Linear long wave
A probabilistic technique is developed to assess the hazard from meteotsunamis. Meteotsunamis are unusual sea-level events, generated when the speed of an atmospheric pressure or wind disturbance is comparable to the phase speed of long waves in the ocean. A general aggregation equation is proposed for the probabilistic analysis, based on previous frameworks established for both tsunamis and storm surges, incorporating different sources and source parameters of meteotsunamis. Parameterization of atmospheric disturbances and numerical modeling is performed for the computation of maximum meteotsunami wave amplitudes near the coast. A historical record of pressure disturbances is used to establish a continuous analytic distribution of each parameter as well as the overall Poisson rate of occurrence. A demonstration study is presented for the northeast U.S. in which only isolated atmospheric pressure disturbances from squall lines and derechos are considered. For this study, Automated Surface Observing System stations are used to determine the historical parameters of squall lines from 2000 to 2013. The probabilistic equations are implemented using a Monte Carlo scheme, where a synthetic catalog of squall lines is compiled by sampling the parameter distributions. For each entry in the catalog, ocean wave amplitudes are computed using a numerical hydrodynamic model. Aggregation of the results from the Monte Carlo scheme results in a meteotsunami hazard curve that plots the annualized rate of exceedance with respect to maximum event amplitude for a particular location along the coast. Results from using multiple synthetic catalogs, resampled from the parent parameter distributions, yield mean and quantile hazard curves. Further refinements and improvements for probabilistic analysis of meteotsunamis are discussed.
This paper is not subject to U.S. copyright. The definitive version was published in Natural Hazards 74 (2014): 123-142, doi:10.1007/s11069-014-1294-1.
Suggested CitationArticle: Geist, Eric L., ten Brink, Uri S., Gove, Matthew, "A framework for the probabilistic analysis of meteotsunamis", Natural Hazards 74 (2014): 123-142, DOI:10.1007/s11069-014-1294-1, https://hdl.handle.net/1912/6933
Showing items related by title, author, creator and subject.
Crake, Kurtis W. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1998-06)An analytical method for precidicting the extent of damage in ship collisions is developed. The method calculates both the longitudinal and transverse extents of damage for the struck ship as a function of collision ...
Zhu, Wenlu; Montesi, Laurent G. J.; Wong, Teng-fong (American Geophysical Union, 2007-10-20)A fundamental understanding of the effect of stress on permeability evolution is important for many fault mechanics and reservoir engineering problems. Recent laboratory measurements demonstrate that in the cataclastic ...
Probabilistic forecast for twenty-first-century climate based on uncertainties in emissions (without policy) and climate parameters Sokolov, Andrei P.; Stone, P. H.; Forest, C. E.; Prinn, Ronald G.; Sarofim, Marcus C.; Webster, M.; Paltsev, Sergey; Schlosser, C. Adam; Kicklighter, David W.; Dutkiewicz, Stephanie; Reilly, John M.; Wang, C.; Felzer, Benjamin S.; Melillo, Jerry M.; Jacoby, Henry D. (American Meteorological Society, 2009-10-01)The Massachusetts Institute of Technology (MIT) Integrated Global System Model is used to make probabilistic projections of climate change from 1861 to 2100. Since the model’s first projections were published in 2003, ...