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Authors
Advisor(s)
Abstract(s)
In order to oceanographically map a given area, deterministic models
of oceanographic processes have been coupled with statistical interpolation
tools, to overcome the sparsity of oceanographic measurements.
These tools assume some prescribed model for the inter-correlation between
physical quantities. One characteristic model –a modified Gaussin
with space-time dependence–, is here fitted to temperature data correlations
from the MREA ’03 sea trial. The model is parameterized by four
correlation lengths and a scaling factor. The model was fitted to two
differently originated data correlations: one, from data measured by a
spatially fixed single instrument or by CTD casts in the area; the other,
from stacked data measured by all temperature monitoring instruments.
The results show that the actual temperature perturbation field is not
homogeneous, nor stationary, what was expected. The determination of
the horizontal correlation lags was possible only via the combination of
multiple-instrument data.
Description
Rep 02/06 - SiPLAB
14/Mar/2006