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Dynamics of Coastal Models - Manejo Costero

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Theory <strong>of</strong> mixing 231initial height <strong>of</strong> warm particlefinal height <strong>of</strong> cold particlecoldwarmheightwarmcoldfinal height <strong>of</strong> warm particleinitial height <strong>of</strong> cold particletemperatureFigure 7.2 Schematic <strong>of</strong> the vertical mixing <strong>of</strong> heat due to particles interchanging position in thewater column. The vertical temperature pr<strong>of</strong>ile is shown by thicker full line at some initial time.Two hypothetical particles are shown: one warm and the other cold, with the warm particleinitially near the top <strong>of</strong> the water column and the cold particle initially near the bottom <strong>of</strong> thewater column. The particles then interchange positions and the temperature pr<strong>of</strong>ile changes tothat represented by the thinner line.7.2.2 Fluctuations and diffusionFluids consist <strong>of</strong> a very large number <strong>of</strong> particles which have the ability to moverelative to one another in an almost infinity <strong>of</strong> ways. We say a fluid has a very largenumber <strong>of</strong> degrees <strong>of</strong> freedom. So, to describe properly the motion <strong>of</strong> a fluid we wouldneed to divide it into a huge number <strong>of</strong> small volumes, or masses, and assign a velocityvector in three dimensions at every time to each <strong>of</strong> these small masses. In a sense, this isexactly what we would do if we set up a grid for a numerical model <strong>of</strong> a coastal basinthat had infinitesimally small cells and time steps. In reality, we can only use finite cellsand finite time steps. Within each <strong>of</strong> these cells and time steps, our model is essentiallyperforming an average over the space in each cell, and over the time that elapses duringa time step. Let us start with the example <strong>of</strong> the component <strong>of</strong> velocity in the xdirection (and suppose that we have a one-dimensional world). Our assumption isthat there exists a function u(x, t) which exactly describes the variation <strong>of</strong> u with x and t.Our model performs an average <strong>of</strong> u over both x (over a cell) and t (over a time step).This average means an integral over a small volume <strong>of</strong> space and time and is indicatedby the multiple integral

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