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dc.contributor.authorBoesch, Andreas
dc.contributor.authorMüller-Navarra, Sylvin
dc.coverage.spatialGerman Bighten_US
dc.coverage.spatialGerman North Sea coasten_US
dc.date.accessioned2021-10-15T20:17:39Z
dc.date.available2021-10-15T20:17:39Z
dc.date.issued2019
dc.identifier.citationBoesch, A. and Müller-Navarra, S. (2019) Reassessment of long-period constituents for tidal predictions. Ocean Science, 15, pp.1363–1379. DOI: https://doi.org/10.5194/os-15-1363-2019en_US
dc.identifier.urihttps://repository.oceanbestpractices.org/handle/11329/1744
dc.description.abstractThe harmonic representation of inequalities (HRoI) is a procedure for tidal analysis and prediction that combines aspects of the non-harmonic and the harmonic method. With this technique, the deviations of heights and lunitidal intervals, especially of high and low waters, from their respective mean values are represented by superpositions of long-period tidal constituents. This article documents the preparation of a constituents list for the operational application of the harmonic representation of inequalities. Frequency analyses of observed heights and lunitidal intervals of high and low water from 111 tide gauges along the German North Sea coast and its tidally influenced rivers have been carried out using the generalized Lomb–Scargle periodogram. One comprehensive list of partial tides is realized by combining the separate frequency analyses and by applying subsequent improvements, e.g. through manual inspections of long time series data. The new set of 39 partial tides largely confirms the previously used set with 43 partial tides. Nine constituents are added and 13 partial tides, mostly in the close neighbourhood of strong spectral components, are removed. The effect of these changes has been studied by comparing predictions with observations from 98 tide gauges. Using the new set of constituents, the standard deviations of the residuals are reduced on average by 2.41% (times) and 2.30% (heights) for the year 2016. The new set of constituents will be used for tidal analyses and predictions starting with the German tide tables for the year 2020.en_US
dc.language.isoenen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherTidal analysisen_US
dc.subject.otherTidal predictionen_US
dc.titleReassessment of long-period constituents for tidal predictions along the German North Sea coast and its tidally influenced rivers.en_US
dc.typeJournal Contributionen_US
dc.description.refereedRefereeden_US
dc.format.pagerangepp.1363–1379en_US
dc.identifier.doihttps://doi.org/10.5194/os-15-1363-2019
dc.subject.parameterDisciplinePhysical oceanographyen_US
dc.subject.instrumentTypeTide gaugesen_US
dc.bibliographicCitation.titleOcean Scienceen_US
dc.bibliographicCitation.volume15en_US
dc.description.sdg14.aen_US
dc.description.eovSea stateen_US
dc.description.adoptionNationalen_US
dc.description.methodologyTypeMethoden_US
dc.description.methodologyTypeSpecification of criteriaen_US
obps.contact.contactnameAndreas Boesch
obps.contact.contactemailandreas.boesch@bsh.de
obps.resourceurl.publisherhttps://os.copernicus.org/articles/15/1363/2019/


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International