Characteristic Numbers of Tidal Energy Transport: Difference between revisions
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==Motivation== | ==Motivation== | ||
Computation as well as visualization of the tide independent characteristic numbers of | Computation as well as visualization of the tide independent characteristic numbers of tidal barotropic energy transport gives some insight into the (mean) | ||
* local | * local dissipation of tidal energy, | ||
* | * transmitted energy (work due to perturbation pressure) by the tidal wave, as well as the | ||
* flux of kinetic energy | |||
* | |||
within the period of data analysis. | within the period of data analysis. | ||
From these, conclusions can be drawn | From these, conclusions can be drawn with respect to the (residual) transport as well as dissipation of (barotropic) tidal energy. The mean energy flux is typically dominated by the perturbation pressure work of the tidal wave. | ||
During computation within [[UNTRIM2007]] and [[UNTRIM2]] only the two most significant terms (processes) are taken into account so far (see above). For this reason dissipation can only be approximately determined. Its magnitude should be correct anyway for estuaries with significant tidal range. | |||
Literature: | |||
# Dujuan Kang and Oliver Fringer, 2012: ''Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area''. Journal of Physical Oceanography, 42, 272–290. doi: [http://dx.doi.org/10.1175/JPO-D-11-039.1 http://dx.doi.org/10.1175/JPO-D-11-039.1]. | |||
==Definitions for the tide-independent characteristic numbers of water transport== | ==Definitions for the tide-independent characteristic numbers of water transport== | ||
Revision as of 09:03, 28 April 2015
Motivation
Computation as well as visualization of the tide independent characteristic numbers of tidal barotropic energy transport gives some insight into the (mean)
- local dissipation of tidal energy,
- transmitted energy (work due to perturbation pressure) by the tidal wave, as well as the
- flux of kinetic energy
within the period of data analysis.
From these, conclusions can be drawn with respect to the (residual) transport as well as dissipation of (barotropic) tidal energy. The mean energy flux is typically dominated by the perturbation pressure work of the tidal wave.
During computation within UNTRIM2007 and UNTRIM2 only the two most significant terms (processes) are taken into account so far (see above). For this reason dissipation can only be approximately determined. Its magnitude should be correct anyway for estuaries with significant tidal range.
Literature:
- Dujuan Kang and Oliver Fringer, 2012: Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area. Journal of Physical Oceanography, 42, 272–290. doi: http://dx.doi.org/10.1175/JPO-D-11-039.1.
Definitions for the tide-independent characteristic numbers of water transport
An automatic analysis is carried through by the computer program NCANALYSE.
Divergence of Horizontal Water Transport
(Mean) divergence (m3 s-1) of the horizontal volume flux within the period of analysis for all computational cells (control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.
Horizontal Volume Flux
(Mean) horizontal volume flux (m3 s-1) for the period of analysis at computational edges (lateral faces of control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.
Rainfall and Evaporation
(Mean) volume flux (m3 s-1) within the period of analysis for computational cells (through surfaces of control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.
Sources and Sinks
(Mean) volume flux (m3 s-1) within the period of analysis due to sources and sinks within computational cells (control volumes).
No example graphics available yet.
Data analysis: NCANALYSE.
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