Abstract
Ever since the first fishermen ventured into the sea, tides have been the subject of intense human observation. As a result, computational models and ‘tide predicting machines’, mechanical computers for predicting tides have been developed over 100 years ago. In this work we propose a statistical model for short-term prediction of sea levels at high tide in the tide influenced part of the Weser at Vegesack. The predictions made are based on water level measurements taken at different locations downriver and in the German Bight. The system has been integrated tightly into the decision making process at the Bremen Dike Association on the Right Bank of the Weser.
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Hasler, N., Hasler, KP. (2007). Short-Term Tide Prediction. In: Hamprecht, F.A., Schnörr, C., Jähne, B. (eds) Pattern Recognition. DAGM 2007. Lecture Notes in Computer Science, vol 4713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74936-3_38
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DOI: https://doi.org/10.1007/978-3-540-74936-3_38
Publisher Name: Springer, Berlin, Heidelberg
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