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deviation of the temperature uctuations, and a single, constant length scale, L, associated<br />

with the vertical scale or wave-length of the intrusions. Equation (3.9) has a simple exponential<br />

solution of the form 〈θ ′2 〉 = C exp (−(t − t 0 )/τ), where C denotes the variance at t = t 0 ,<br />

and τ = L 2 /(2κ θ ) is the time scale of decay of temperature variance.<br />

Clearly, in realistic applications, temperature variance does not only decay. The most important<br />

additional eects not accounted for in (3.9) in our application are (a) advection of temperature<br />

variance from neighbouring regions that may either increase or decrease the locally observed<br />

variance, and (b) the local generation of temperature variance due to advective eects, i.e.<br />

the interleaving of newly generated intrusions.<br />

In view of our limited data, we estimated θ ′ for individual temperature proles by computing<br />

the dierence between unltered and ltered temperature proles, where the cut-o length (50<br />

m here) was subjectively chosen such that essentially all variance associated with the intrusions<br />

was removed. The variance of θ ′ was then computed over the depth range 90-170 m, where<br />

the strongest intrusive activity was observed. Our estimates are based on the CTD proles<br />

near the central monitoring station BMP271 already discussed above, and a few additional<br />

proles from the standard monitoring program in order to study the late-stage of evolution of<br />

the intrusions. The additional proles were taken on 12 May, 16 May, 17 May, 19 May, and<br />

8 August 1998, and two proles on 7 November 1998. An example illustrating the ltering<br />

procedure for the θ prole from 27 March 1998 is given in Fig. 3.11 a.<br />

A times series of 〈θ ′2 〉 for all available proles near the central station is depicted in Fig. 3.11 b.<br />

This time series illustrates that variance is quickly generated during the inow event, reaches<br />

a maximum on 27 March 1998, and then rapidly decays. During later times, the temperature<br />

variance is seen to increase intermittently, most likely due to advection into the measuring<br />

site and some small additional intrusions, but values are generally much lower than during the<br />

time of the inow. Fitting the exponential solution to (3.9) to the period of decaying tracer<br />

variance, estimates for the decay time, τ, and thus for the diusivity, κ θ , may be obtained. To<br />

capture the initial period of strongest decay, we used the point of maximum variance and the<br />

following point (Fig. 3.11 b) for the t, resulting in a decay time scale of τ = 13.7 days. The<br />

diusivity then follows from κ θ = L 2 /(2τ). The quantity that is probably the least well-known<br />

in this analysis is the vertical intrusion scale, L. We have therefore plotted κ θ for a range of<br />

plausible scales (Fig. 3.11 c); the result suggesting that κ θ is of the order of a few times 10 −5<br />

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