{"refrec":{"BRefID":220480,"RR":"<b>Galiatsatou, P.; Prinos, P.; Valchev, N.; Trifonova, E.</b> (2012). Analysis of extreme marine events causing flooding in Varna region. <i>TrJFAS 12</i>: 523-531. <a href=\"http://dx.doi.org/10.4194/1303-2712-v12_2_44\" target=\"_blank\">http://dx.doi.org/10.4194/1303-2712-v12_2_44</a>","BEntID":212213,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":null,"RefStringPartII":". <i>TrJFAS 12</i>: 523-531. <a href=\"http://dx.doi.org/10.4194/1303-2712-v12_2_44\" target=\"_blank\">http://dx.doi.org/10.4194/1303-2712-v12_2_44</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Galiatsatou, P.; Prinos, P.; Valchev, N.; Trifonova, E.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Galiatsatou, P. <i>et al.</i>","Englishabstract":"In the present paper extreme wave height, wave period and storm surge events in the marine area of the Varna region are analyzed using Extreme Value Theory (EVT) to estimate return levels of the aforementioned variables corresponding to selected return periods. Both univariate and multivariate techniques are utilized. The GEV (Generalized Extreme Value) distribution is implemented to extrapolate the marine variables to levels more extreme than those observed. Joint probability analysis is also conducted. A bivariate extreme value model is used to produce estimates of joint probabilities of extreme wave heights and storm surges. For wave period extremes, a conditional distribution on extreme wave height is utilized. Joint estimates of wave height, storm surge and wave period are compared to the respective estimates of the univariate analysis, for selected return periods. 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