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  Short-Term Tide Prediction

Hasler, N., & Hasler, K.-P. (2007). Short-Term Tide Prediction. In F. A. Hamprecht, C. Schnörr, & B. Jähne (Eds.), Pattern Recognition: 29th DAGM Symposium (pp. 375-384). Berlin, Germany: Springer.

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 Creators:
Hasler, Nils1, Author           
Hasler, Klaus-Peter, Author
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 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 ma chines', mechanical computers for predicting tides have been developed over 100 year s 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 predic tions are made based on water level measurements taken at different locations downri ver and in the German Bight. The system has been integrated tightly into the decisio n making process at the Bremen Dike Association on the Right Bank of the Weser.

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Language(s): eng - English
 Dates: 2008-03-142007
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356516
DOI: 10.1007/978-3-540-74936-3
Other: Local-ID: C12573CC004A8E26-1C0AB98003413A2CC12573C40040D0D0-HasHas07
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Title: Untitled Event
Place of Event: Heidelberg, Germany
Start-/End Date: 2007-09-12 - 2007-09-14

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Title: Pattern Recognition : 29th DAGM Symposium
Source Genre: Proceedings
 Creator(s):
Hamprecht, Fred A., Editor
Schnörr, Christoph, Editor
Jähne, Bernd, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 375 - 384 Identifier: ISBN: 3-540-74933-2

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 4713 Sequence Number: - Start / End Page: - Identifier: -