Water mass distributions in the Southern Ocean derived from a parametric analysis of mixing water masses.

Anouk Debrauwere, Stephanie Jacquet, Fedor De Ridder, Frank Dehairs, Rik Pintelon, Joannes Schoukens, Willy Baeyens

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12 Citations (Scopus)


An empirical method to reconstruct distributions of mixing water masses is developed and applied to two Southern Ocean (Australian sector) datasets. The method is a parametric extension of the well-known Optimum Multiparameter (OMP) analysis, therefore called POMP (parametric OMP). The main development consists of parameterizing the mixing fraction as a function of position (e.g. latitude and depth) and estimating the parameters of the resulting function, instead of estimating the mixing fraction for every sampling point individually. Because this enables to reduce the total number of unknowns to be estimated, the proposed adjustments result in more robust estimates of the mixing fractions, as illustrated on the Southern Ocean CLIVAR-SR3 dataset (early spring 2001). An additional consequence of the new working scheme is that the mixing distributions are smoothed. It is emphasized that the degree of smoothing should be chosen with care in order not to neglect any significant features. Statistical rules to do this are applied. Application of the POMP method to the second Southern Ocean dataset (SAZ'98, summer 1998) revealed the importance of a careful selection of the mixing source water types. This study was limited to the subantarctic region and upper 1000 m, where variations in water mass characteristics and distributions are most important. Indeed, it seems necessary to redefine the source water characteristics for each dataset. The direction of these changes suggests that interannual variability or long term changes of water masses overwhelm the seasonal variability.
Original languageEnglish
JournalJournal of Geophysical Research: Oceans
Issue numberC02021
Publication statusPublished - 2007


  • Southern Ocean
  • Optimum Multiparameter analysis
  • mixing
  • water masses


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