01430nas a2200169   4500000000100000000000100001008004100002260001200043100002100055700002300076700001900099245010000118300001400218490000800232520100600240022001401246       2014                            d  c07/20141 aKrzysztof Domino1 aTomasz Błachowicz1 aMaurycy Ciupak00aThe use of copula functions for predictive analysis of correlations between extreme storm tides  a489–4970 v4133 a<p>In this paper we present a method used in quantitative description of weakly predictable hydrological, extreme events at inland sea. Investigations for correlations between variations of individual measuring points, employing combined statistical methods, were carried out. As a main tool for this analysis we used a two-dimensional copula function sensitive for correlated extreme effects. Additionally, a new proposed methodology, based on Detrended Fluctuations Analysis (DFA) and Anomalous Diffusion (AD), was used for the prediction of negative and positive auto-correlations and associated optimum choice of copula functions. As a practical example we analysed maximum storm tides data recorded at five spatially separated places at the Baltic Sea. For the analysis we used Gumbel, Clayton, and Frank copula functions and introduced the reversed Clayton copula. The application of our research model is associated with modelling the risk of high storm tides and possible storm flooding.</p>
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