Forecast of storm surge by means of artificial neural network
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
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| 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 |
| 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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