Open AccessA review of methods to calculate extreme wind speeds
Author(s) -
Palutikof J P,
Brabson B B,
Lister D H,
Adcock S T
Publication year - 1999
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1017/s1350482799001103
Subject(s) - extreme value theory , generalized pareto distribution , quantile , maxima , generalized extreme value distribution , independent and identically distributed random variables , computer science , wind speed , order statistic , wind power , meteorology , pareto principle , storm , econometrics , statistics , mathematics , geography , random variable , engineering , electrical engineering , art history , performance art , art
Methods to calculate extreme wind speeds are described and reviewed, including ‘classical’ methods based on the generalized extreme value (GEV) distribution and the generalized Pareto distribution (GPD), and approaches designed specifically to deal with short data sets. The emphasis is very much on the needs of users who seek an accurate method to derive extreme wind speeds but are not fully conversant with up‐to‐date developments in this complex subject area. First, ‘standard’ methods are reviewed: annual maxima, independent storms, r‐largest extremes with the GEV distribution, and peak‐over‐threshold extremes with the GPD. Techniques for calculating the distribution parameters and quantiles are described. There follows a discussion of the factors which must be considered in order to fulfil the criterion that the data should be independent and identically distributed, and in order to minimize standard errors. It is commonplace in studies of extreme wind speeds that the time series available for analysis are very short. Finally, therefore, the paper deals with techniques applicable to data sets as short as two years, including simulation modelling and methods based on the parameters of the parent distribution. Copyright © 1999 Royal Meteorological Society