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...

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Published in:Progress in Oceanography
Main Authors: Castro, Carmen G., Pérez, Fiz F., Holley, S., Ríos, Aida F.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 1998
Subjects:
Online Access:http://hdl.handle.net/10261/297009
https://doi.org/10.1016/S0079-6611(98)00021-4
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spelling ftcsic:oai:digital.csic.es:10261/297009 2024-02-11T10:06:59+01:00 Chemical characterisation and modelling of water masses in the Northeast Atlantic Castro, Carmen G. Pérez, Fiz F. Holley, S. Ríos, Aida F. 1998 http://hdl.handle.net/10261/297009 https://doi.org/10.1016/S0079-6611(98)00021-4 en eng Elsevier https://doi.org/10.1016/S0079-6611(98)00021-4 Sí Progress in Oceanography 41(3): 249-279 (1997) 0079-6611 http://hdl.handle.net/10261/297009 doi:10.1016/S0079-6611(98)00021-4 1873-4472 none artículo 1998 ftcsic https://doi.org/10.1016/S0079-6611(98)00021-4 2024-01-16T11:38:32Z 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 Article in Journal/Newspaper Northeast Atlantic Digital.CSIC (Spanish National Research Council) Progress in Oceanography 41 3 249 279
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language English
description 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
format Article in Journal/Newspaper
author Castro, Carmen G.
Pérez, Fiz F.
Holley, S.
Ríos, Aida F.
spellingShingle Castro, Carmen G.
Pérez, Fiz F.
Holley, S.
Ríos, Aida F.
Chemical characterisation and modelling of water masses in the Northeast Atlantic
author_facet Castro, Carmen G.
Pérez, Fiz F.
Holley, S.
Ríos, Aida F.
author_sort Castro, Carmen G.
title Chemical characterisation and modelling of water masses in the Northeast Atlantic
title_short Chemical characterisation and modelling of water masses in the Northeast Atlantic
title_full Chemical characterisation and modelling of water masses in the Northeast Atlantic
title_fullStr Chemical characterisation and modelling of water masses in the Northeast Atlantic
title_full_unstemmed Chemical characterisation and modelling of water masses in the Northeast Atlantic
title_sort chemical characterisation and modelling of water masses in the northeast atlantic
publisher Elsevier
publishDate 1998
url http://hdl.handle.net/10261/297009
https://doi.org/10.1016/S0079-6611(98)00021-4
genre Northeast Atlantic
genre_facet Northeast Atlantic
op_relation https://doi.org/10.1016/S0079-6611(98)00021-4

Progress in Oceanography 41(3): 249-279 (1997)
0079-6611
http://hdl.handle.net/10261/297009
doi:10.1016/S0079-6611(98)00021-4
1873-4472
op_rights none
op_doi https://doi.org/10.1016/S0079-6611(98)00021-4
container_title Progress in Oceanography
container_volume 41
container_issue 3
container_start_page 249
op_container_end_page 279
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