Scientia Marina, Vol 69, No 4 (2005)

Using routine hydrographic sections for estimating the parameters needed for Optimal Statistical Interpolation. Application to the northern Alboran Sea


https://doi.org/10.3989/scimar.2005.69n4435

Manuel Vargas-Yáñez
Instituto Español de Oceanografía, Spain

Florian Garivier
Instituto Español de Oceanografía, Spain

Olivier Pirra
Instituto Español de Oceanografía, Spain

M. García-Martínez
Instituto Español de Oceanografía, Spain

Abstract


Optimal Statistical Interpolation is widely applied in the analysis of oceanographic data. This technique requires knowing some statistics of the analysed fields such as the covariance function and the noise to signal ratio. The different parameters needed should be obtained from historical data sets, but, in contrast with the case of meteorology, these data sets are not frequently available for oceanographic purposes. Here we show that using routine hydrographic samplings can provide a good estimate of the statistics needed to perform an Optimal Statistical Interpolation. These data sets allow the covariance function to be estimated between two points with different horizontal and vertical coordinates taking into account the possible lack of homogeneity and isotropy which is rarely considered. This also allows us to accomplish a three-dimensional analysis of hydrographic data, which yields smaller analysis errors than a traditional two-dimensional analysis would.

Keywords


Optimal Statistical Interpolation; time series; routine sampling; Alboran Sea; covariance

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