Author(s): M. Sztobryn; B. Kowalska

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Keywords: No Keywords

Abstract: The authors aimed to reconstruct the ice conditions in the Gulf of Gdansk from XVI to XIX century by Neural Network. Regular observations of sea-ice in this region reach as far back as the beginnings of: XX century. For the time previous to XX century reliable information can be also derived from written sources, especially on the extremely cold or extremely warm winters. Reconstruction of ice conditions in the Gulf of Gdansk was done in terms of three typical winter characteristics - mild, moderate and severe. The Neural Network was applied to two lime series: the one consisting of the nwnbers estimating the maximwn extent of ice cover in the Baltic Sea and the second one - the accumulated areal ice volwne calculated for western Baltic Sea.

DOI:

Year: 2000