To quantify the sensitivity of our analysis to the instrument error, we perform a Monte-Carlo simulation on a series of profiles from mooring DN with a synthetic noise added. We use a sub-sample of the entire dataset containing 6000 vertical temperature profiles (
).
In this subsample,
of the profiles contain at least one overturn. The average dissipation for the subsample is
. We added synthetic instrument noise to these profiles by adding a normally distributed random number with a zero mean and a standard deviation equal to the instrument nominal accuracy of 2 millidegree. We infer salinity from the temperature after adding the noise. Averaged over 1000 such profile time-series,
of the profiles contained one or more overturn (up from
), and the average dissipation increased to
(up from
).
For mooring DS, with a subsample of 10000 profiles, the dissipation increases from
to
, and the percentage of profiles showing overturns increases to
from
.
In conclusion, the synthetic instrument noise raised the mean dissipation by
, a
increase at DN and a
increase at DS. The synthetic profiles contain high vertical wavenumber noise that is not a feature of the original profiles. We believe that the error estimate is an upper bound on the effect of instrument noise on the Thorpe scale analysis. We conclude that random instrument noise alone cannot account for the strength of the infered overturns. The uncertainty of the mixing estimates obtained with this analysis is much smaller than the factor 10 difference in the overall average of dissipation between the two moorings.