Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...

Optimum Multiparameter Model in Matlab code to solve the mixing of water masses in the North and South Atlantic ocean based on GOSHIP cruises with available Dissolved Organic Carbon (DOC) data. Data below 250 dbar and colder than 14ºC are considered. The scripts solve the mixing of central, intermed...

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Bibliographic Details
Main Authors: Álvarez, Marta, Alvarez-Salgado, Xose Anton, Romera-Castillo, Cristina, Hansell, Dennis A, Pelegri, Jose L
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.904326
https://doi.pangaea.de/10.1594/PANGAEA.904326
id ftdatacite:10.1594/pangaea.904326
record_format openpolar
spelling ftdatacite:10.1594/pangaea.904326 2024-04-28T08:38:15+00:00 Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ... Álvarez, Marta Alvarez-Salgado, Xose Anton Romera-Castillo, Cristina Hansell, Dennis A Pelegri, Jose L 2019 application/zip https://dx.doi.org/10.1594/pangaea.904326 https://doi.pangaea.de/10.1594/PANGAEA.904326 en eng PANGAEA https://dx.doi.org/10.1029/2018gb006162 https://dx.doi.org/10.1594/pangaea.904297 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 apparent ages Atlantic Ocean Dissolved Organic Carbon water masses dataset Supplementary Dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.90432610.1029/2018gb00616210.1594/pangaea.904297 2024-04-02T11:33:47Z Optimum Multiparameter Model in Matlab code to solve the mixing of water masses in the North and South Atlantic ocean based on GOSHIP cruises with available Dissolved Organic Carbon (DOC) data. Data below 250 dbar and colder than 14ºC are considered. The scripts solve the mixing of central, intermediate, deep and bottom waters crossed by the GOSHIP lines (A22-2012, A20-2012, A13.5-2010, A16N-2013, A16S-2013). INPUT variables are the comprised within a matlab file (OMP_ATL_DOM.mat) containing hydrographic and biogeochemical data as provided in the OCADS repository for Repeat Hydrography. The OUTPUT is generated in the file OMP_RESULTS.xlsx containing self explaining names of the output variables. A detailed explanation of the OMP settings, constraints and results to analyse and check is given in the linked Global Biogeochemical Cycles manuscript. To inititate the OMP analysis just run "Megaprograma.m", the analysis will start and when ending the results will appear in the xlsx file. ... : Supplement to: Romera-Castillo, Cristina; Álvarez, Marta; Pelegrí, Josep L; Hansell, Dennis A; Alvarez-Salgado, Xose Anton (2019): Net Additions of Recalcitrant Dissolved Organic Carbon in the Deep Atlantic Ocean. Global Biogeochemical Cycles, 33(9), 1162-1173 ... Dataset South Atlantic Ocean DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic apparent ages
Atlantic Ocean
Dissolved Organic Carbon
water masses
spellingShingle apparent ages
Atlantic Ocean
Dissolved Organic Carbon
water masses
Álvarez, Marta
Alvarez-Salgado, Xose Anton
Romera-Castillo, Cristina
Hansell, Dennis A
Pelegri, Jose L
Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
topic_facet apparent ages
Atlantic Ocean
Dissolved Organic Carbon
water masses
description Optimum Multiparameter Model in Matlab code to solve the mixing of water masses in the North and South Atlantic ocean based on GOSHIP cruises with available Dissolved Organic Carbon (DOC) data. Data below 250 dbar and colder than 14ºC are considered. The scripts solve the mixing of central, intermediate, deep and bottom waters crossed by the GOSHIP lines (A22-2012, A20-2012, A13.5-2010, A16N-2013, A16S-2013). INPUT variables are the comprised within a matlab file (OMP_ATL_DOM.mat) containing hydrographic and biogeochemical data as provided in the OCADS repository for Repeat Hydrography. The OUTPUT is generated in the file OMP_RESULTS.xlsx containing self explaining names of the output variables. A detailed explanation of the OMP settings, constraints and results to analyse and check is given in the linked Global Biogeochemical Cycles manuscript. To inititate the OMP analysis just run "Megaprograma.m", the analysis will start and when ending the results will appear in the xlsx file. ... : Supplement to: Romera-Castillo, Cristina; Álvarez, Marta; Pelegrí, Josep L; Hansell, Dennis A; Alvarez-Salgado, Xose Anton (2019): Net Additions of Recalcitrant Dissolved Organic Carbon in the Deep Atlantic Ocean. Global Biogeochemical Cycles, 33(9), 1162-1173 ...
format Dataset
author Álvarez, Marta
Alvarez-Salgado, Xose Anton
Romera-Castillo, Cristina
Hansell, Dennis A
Pelegri, Jose L
author_facet Álvarez, Marta
Alvarez-Salgado, Xose Anton
Romera-Castillo, Cristina
Hansell, Dennis A
Pelegri, Jose L
author_sort Álvarez, Marta
title Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
title_short Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
title_full Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
title_fullStr Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
title_full_unstemmed Optimum Multiparameter Analysis for the Atlantic Ocean focused on dissolved organic carbon ...
title_sort optimum multiparameter analysis for the atlantic ocean focused on dissolved organic carbon ...
publisher PANGAEA
publishDate 2019
url https://dx.doi.org/10.1594/pangaea.904326
https://doi.pangaea.de/10.1594/PANGAEA.904326
genre South Atlantic Ocean
genre_facet South Atlantic Ocean
op_relation https://dx.doi.org/10.1029/2018gb006162
https://dx.doi.org/10.1594/pangaea.904297
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.90432610.1029/2018gb00616210.1594/pangaea.904297
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