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Titel |
Numerical simulation of the Adriatic Sea principal tidal constituents |
VerfasserIn |
I. Janeković, M. Kuzmić |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
0992-7689
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Digitales Dokument |
URL |
Erschienen |
In: Annales Geophysicae ; 23, no. 10 ; Nr. 23, no. 10 (2005-11-30), S.3207-3218 |
Datensatznummer |
250015393
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Publikation (Nr.) |
copernicus.org/angeo-23-3207-2005.pdf |
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Zusammenfassung |
The primary goal of this study was to incorporate data-derived harmonic
constants into a complex dynamic model using a form of variational data
assimilation, with a view to improve the prediction of 7 dominant tidal
constituents in the Adriatic Sea. Firstly, harmonic-constant data for
6 Adriatic stations were fed into a steady-state, 3-D, forward/inverse model to
furnish optimal boundary conditions (OBCs). Calculated OBCs were then used
to derive individual constituent responses, as well as to synthesise
seven-constituent boundary conditions for the time stepping, 3-D model. A
separate set of 25 stations provided control harmonic constant data. In
validating the model output particular attention has been given to
the often-ignored tidal currents. To that end 14 current meter data records were
processed into tidal current ellipse parameters and used to examine the
comparable model output. Comparison to gauge data has shown that the present
solution is better than our own previous one, and shows an improvement over
recent solutions by other authors. The model accurately reproduces available
data with individual station amplitude differences rarely exceeding 1cm,
and with the phase error commonly staying well below 10°. For all tidal
constituents individual station differences result in RMSE in the
0.33-0.71-cm range for amplitude, and the 5.6°-19.2° range for phase.
Semidiurnal currents appear to be modelled better than the diurnal ones
(generally over-predicted). High eccentricity of both data and
model-derived ellipses often impaired calculating the proper sense of
rotation; inclination of the ellipses proved to be the most robust
parameter, successfully predicted for most constituents at all depths. |
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