In this paper some results of a collaborative research project are shown, dealing with extreme storm surges and determination of decisive design parameters at the German Baltic Sea coastline. Starting from meteorological analyses, weather situations were identified that are able to cause severe storm floods. With these data hydrodynamical models were run to calculate maximum water levels. One main objective within the analyses was to improve the estimation of occurrence probabilities of extreme events. This was done by using an integrated approach, where observed data, historical information and modelled extreme values were taken into account. The results are shown by the example of the gauge Travemunde (Southern Baltic Sea). The overall analyses show, that an improvement of understanding of extreme floods at the German Baltic Sea coastline can be achieved by looking at meteorology, oceanography, observed and historical water levels. The statistical extreme value analysis based on observed, historical and modelled data leads to authoritative estimations of occurrence probabilities of extreme events.
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