A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic
This paper describes the development of a multiparametric interpolation method and its application to anthropogenic carbon (CANT) in the Atlantic, calculated by two estimation methods using the CARINA database. The multiparametric interpolation proposed uses potential temperature (θ), salinity, cons...
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Format: | Article |
Language: | English |
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Consejo Superior de Investigaciones Científicas
2010-12-01
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Series: | Scientia Marina |
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Online Access: | http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1215 |
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author | Anton Velo Marcos Vázquez-Rodríguez Xose A. Padín Miguel Gilcoto Aída F. Ríos Fiz F. Pérez |
author_facet | Anton Velo Marcos Vázquez-Rodríguez Xose A. Padín Miguel Gilcoto Aída F. Ríos Fiz F. Pérez |
author_sort | Anton Velo |
collection | DOAJ |
description | This paper describes the development of a multiparametric interpolation method and its application to anthropogenic carbon (CANT) in the Atlantic, calculated by two estimation methods using the CARINA database. The multiparametric interpolation proposed uses potential temperature (θ), salinity, conservative ‘NO’ and ‘PO’ as conservative parameters for the gridding, and the World Ocean Atlas (WOA05) as a reference for the grid structure and the indicated parameters. We thus complement CARINA data with WOA05 database in an attempt to obtain better gridded values by keeping the physical-biogeochemical sea structures. The algorithms developed here also have the prerequisite of being simple and easy to implement. To test the improvements achieved, a comparison between the proposed multiparametric method and a pure spatial interpolation for an independent parameter (O2) was made. As an application case study, CANT estimations by two methods (φCTº and TrOCA) were performed on the CARINA database and then gridded by both interpolation methods (spatial and multiparametric). Finally, a calculation of CANT inventories for the whole Atlantic Ocean was performed with the gridded values and using ETOPO2v2 as the sea bottom. Thus, the inventories were between 55.1 and 55.2 Pg-C with the φCTº method and between 57.9 and 57.6 Pg-C with the TrOCA method. |
first_indexed | 2024-12-16T23:42:49Z |
format | Article |
id | doaj.art-ff8931b36fb6489db38a289abb59029f |
institution | Directory Open Access Journal |
issn | 0214-8358 1886-8134 |
language | English |
last_indexed | 2024-12-16T23:42:49Z |
publishDate | 2010-12-01 |
publisher | Consejo Superior de Investigaciones Científicas |
record_format | Article |
series | Scientia Marina |
spelling | doaj.art-ff8931b36fb6489db38a289abb59029f2022-12-21T22:11:34ZengConsejo Superior de Investigaciones CientíficasScientia Marina0214-83581886-81342010-12-0174S1213210.3989/scimar.2010.74s10211204A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the AtlanticAnton Velo0Marcos Vázquez-Rodríguez1Xose A. Padín2Miguel Gilcoto3Aída F. Ríos4Fiz F. Pérez5Instituto de Investigacións Mariñas (CSIC)Instituto de Investigacións Mariñas (CSIC)Instituto de Investigacións Mariñas (CSIC)Instituto de Investigacións Mariñas (CSIC)Instituto de Investigacións Mariñas (CSIC)Instituto de Investigacións Mariñas (CSIC)This paper describes the development of a multiparametric interpolation method and its application to anthropogenic carbon (CANT) in the Atlantic, calculated by two estimation methods using the CARINA database. The multiparametric interpolation proposed uses potential temperature (θ), salinity, conservative ‘NO’ and ‘PO’ as conservative parameters for the gridding, and the World Ocean Atlas (WOA05) as a reference for the grid structure and the indicated parameters. We thus complement CARINA data with WOA05 database in an attempt to obtain better gridded values by keeping the physical-biogeochemical sea structures. The algorithms developed here also have the prerequisite of being simple and easy to implement. To test the improvements achieved, a comparison between the proposed multiparametric method and a pure spatial interpolation for an independent parameter (O2) was made. As an application case study, CANT estimations by two methods (φCTº and TrOCA) were performed on the CARINA database and then gridded by both interpolation methods (spatial and multiparametric). Finally, a calculation of CANT inventories for the whole Atlantic Ocean was performed with the gridded values and using ETOPO2v2 as the sea bottom. Thus, the inventories were between 55.1 and 55.2 Pg-C with the φCTº method and between 57.9 and 57.6 Pg-C with the TrOCA method.http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1215carinawoa05co2interpolationmultiparametricanthropogenic carbonback calculation |
spellingShingle | Anton Velo Marcos Vázquez-Rodríguez Xose A. Padín Miguel Gilcoto Aída F. Ríos Fiz F. Pérez A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic Scientia Marina carina woa05 co2 interpolation multiparametric anthropogenic carbon back calculation |
title | A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic |
title_full | A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic |
title_fullStr | A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic |
title_full_unstemmed | A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic |
title_short | A multiparametric method of interpolation using WOA05 applied to anthropogenic CO2 in the Atlantic |
title_sort | multiparametric method of interpolation using woa05 applied to anthropogenic co2 in the atlantic |
topic | carina woa05 co2 interpolation multiparametric anthropogenic carbon back calculation |
url | http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1215 |
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