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Publication Citation: Meteorological extremes

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Author(s): Franklin T. Lombardo; Adam L. Pintar; Antonio M. Possolo; Emil Simiu; Dong Hun Yeo;
Title: Meteorological extremes
Published: December 28, 2012
Abstract: This entry reviews basic principles of the statistical analysis of large extreme values (EVs), the role of simulations for the development of relevant meteorological data sets, the interaction between the extreme value modeling process and its application to engineering, and specific issues pertaining to wind, snow, ice, storm surge, and ocean waves.
Citation: the Encyclopedia of Environmetrics
Issue: Encyclopedia of Environmetrics 2nd ed
Pages: 3 pp.
Keywords: Extreme value analysis, wind, generalized Pareto distribution, Generalized extreme value distribution
Research Areas: Wind Engineering