Chemical characterisation and modelling of water masses in the Northeast Atlantic
31 pages, 11 figures, 4 tables We develop a simple model to provide information about the thermohaline and biological control of nutrients and inorganic carbon in the Northeast Atlantic (39–48°N, 11–27°W). Using data collected during the Vivaldi survey (Charles Darwin cruise 58) in May, 1991 togethe...
Published in: | Progress in Oceanography |
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Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
1998
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Subjects: | |
Online Access: | http://hdl.handle.net/10261/297009 https://doi.org/10.1016/S0079-6611(98)00021-4 |
Summary: | 31 pages, 11 figures, 4 tables We develop a simple model to provide information about the thermohaline and biological control of nutrients and inorganic carbon in the Northeast Atlantic (39–48°N, 11–27°W). Using data collected during the Vivaldi survey (Charles Darwin cruise 58) in May, 1991 together with published thermohaline characteristics for the source waters of the Northeast Atlantic, we have deduced triangular mixing percentages for every sample collected during the Vivaldi survey. Subsequently, we devised an inverse method correlated to the mixing percentages to model nutrient, oxygen and inorganic carbon concentrations. This enables us to explain more than 95% of the nutrient variability on the basis of correlation with thermohaline properties. The difference between `real' nutrient and `modelled' nutrient represents, in part, the biological activity not correlated to the thermohaline properties. From the modelled nutrient it is possible to gain information about preformed nutrient and an idea of the biological aging undergone by water masses. There is a covariance between oxygen consumption and nutrient and inorganic carbon anomalies which is related to areas of greater remineralization and ventilation. Such areas have been identified. The subsequent application of our model to TTO data explained about 90% of the nutrient variability. The modelling work was supported by EC projects MAST-CT900017 and MAS3-CT96-0060. Peer reviewed |
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