View source for Characteristic Numbers of Tidal Energy Transport

[[de:Tideunabhängige Kennwerte des Tide-Energietransports]]
[[category:Characteristic Numbers (independent of the presence of tides)]]

==Motivation==

Computation as well as visualization of the tide independent characteristic numbers of water transport (volume fluxes) gives some insight into the
* local (rate of change) of water volume, 
* mean (horizontal) water transport (volume flux), 
* significance of rainfall and evaporation, as well as the
* strength of sources and sinks
within the period of data analysis.

From these, conclusions can be drawn on the mean (residual) transport of water. For estuaries, fresh water flow, bathymetry, as well as wind shear are considered to be the main influencing factors. Beyond that, the following non-linearities are also of some significance: nonlinear propagation speed of the tidal wave, bottom friction and advection.

==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).<br /> 
''No example graphics available yet''. <br />
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).<br /> 
''No example graphics available yet''. <br />
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).<br /> 
''No example graphics available yet''. <br />
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).<br /> 
''No example graphics available yet''. <br />
Data analysis: [[NCANALYSE]].

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