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Forecast of storm surge by means of artificial neural network
Sztobryn, M. (2003). Forecast of storm surge by means of artificial neural network. J. Sea Res. 49(4): 317-322. https://dx.doi.org/10.1016/s1385-1101(03)00024-8
In: Journal of Sea Research. Elsevier/Netherlands Institute for Sea Research: Amsterdam; Den Burg. ISSN 1385-1101; e-ISSN 1873-1414, more
Also appears in:
Ohlson, M.; Omstedt, A.; Turner, D. (Ed.) (2003). Proceedings of the 22nd Conference of the Baltic Oceanographers (CBO), Stockholm, Sweden, 25-29 November 2001. Journal of Sea Research, 49(4). Elsevier: Amsterdam. 227-374 pp., more
Peer reviewed article  
Available in  Author 
Keywords
    Artificial intelligence
    Artificial neural networks
    Artificial neural networks
    Levels > Water levels > Sea level
    Methodology
    Modelling
    Prediction
    Surges > Surface water waves > Storm surges
    ANE, Baltic [Marine Regions]
    Marine/Coastal
Author keywords
    sea-level forecast; artifical neural network; Baltic Sea
Author  Top 
  • Sztobryn, M.
Abstract
    This study describes the construction and verification of a model of sea level changes during a storm surge, applying artificial neural network (ANN) methodology in hydrological forecasting in a tideless sea where the variation of water level is only wind generated. Some neural networks were tested to create the forecast model. The results of ANN were compared with observed sea-level values, and with the forecasts calculated by different routine methods. The results of verification show that the neural network methodology could be successfully applied in the routine, operational forecast service.
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