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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 2
Ocean Sci., 6, 525-538, 2010
https://doi.org/10.5194/os-6-525-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 6, 525-538, 2010
https://doi.org/10.5194/os-6-525-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

  04 Jun 2010

04 Jun 2010

Statistical trend analysis and extreme distribution of significant wave height from 1958 to 1999 – an application to the Italian Seas

G. Martucci1,*, S. Carniel2, J. Chiggiato2, M. Sclavo2, P. Lionello3, and M. B. Galati3 G. Martucci et al.
  • 1Consorzio Venezia Ricerche, Marghera, Venice, Italy
  • 2CNR-ISMAR, Castello 1364/A, 30122 Venice, Italy
  • 3University of Lecce, Department of Material Sciences, Via Arnesano, 73100 Lecce, Italy
  • *now at: School of Physics, and Centre for Climate and Air Pollution Studies, Environmental Change Institute, National University of Ireland, Galway, Ireland

Abstract. The study is a statistical analysis of sea states timeseries derived using the wave model WAM forced by the ERA-40 dataset in selected areas near the Italian coasts. For the period 1 January 1958 to 31 December 1999 the analysis yields: (i) the existence of a negative trend in the annual- and winter-averaged sea state heights; (ii) the existence of a turning-point in late 80's in the annual-averaged trend of sea state heights at a site in the Northern Adriatic Sea; (iii) the overall absence of a significant trend in the annual-averaged mean durations of sea states over thresholds; (iv) the assessment of the extreme values on a time-scale of thousand years. The analysis uses two methods to obtain samples of extremes from the independent sea states: the r-largest annual maxima and the peak-over-threshold. The two methods show statistical differences in retrieving the return values and more generally in describing the significant wave field. The r-largest annual maxima method provides more reliable predictions of the extreme values especially for small return periods (<100 years). Finally, the study statistically proves the existence of decadal negative trends in the significant wave heights and by this it conveys useful information on the wave climatology of the Italian seas during the second half of the 20th century.

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