An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1

The stable carbon isotope composition of dissolved inorganic carbon ( δ 13 C-DIC) can be used to quantify fluxes within the carbon system. For example, knowing the δ 13 C signature of the inorganic carbon pool can help in describing the amount of anthropogenic carbon in the water column. The measure...

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Published in:Earth System Science Data
Main Authors: Becker, Meike, Andersen, Nils, Erlenkeuser, Helmut, Humphreys, Matthew P., Tanhua, Toste, Körtzinger, Arne
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/essd-8-559-2016
https://essd.copernicus.org/articles/8/559/2016/
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spelling ftcopernicus:oai:publications.copernicus.org:essd49877 2023-05-15T17:31:07+02:00 An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1 Becker, Meike Andersen, Nils Erlenkeuser, Helmut Humphreys, Matthew P. Tanhua, Toste Körtzinger, Arne 2018-09-27 application/pdf https://doi.org/10.5194/essd-8-559-2016 https://essd.copernicus.org/articles/8/559/2016/ eng eng doi:10.5194/essd-8-559-2016 https://essd.copernicus.org/articles/8/559/2016/ eISSN: 1866-3516 Text 2018 ftcopernicus https://doi.org/10.5194/essd-8-559-2016 2020-07-20T16:23:56Z The stable carbon isotope composition of dissolved inorganic carbon ( δ 13 C-DIC) can be used to quantify fluxes within the carbon system. For example, knowing the δ 13 C signature of the inorganic carbon pool can help in describing the amount of anthropogenic carbon in the water column. The measurements can also be used for evaluating modeled carbon fluxes, for making basin-wide estimates of anthropogenic carbon, and for studying seasonal and interannual variability or decadal trends in interior ocean biogeochemistry. For all these purposes, it is not only important to have a sufficient amount of data, but these data must also be internally consistent and of high quality. In this study, we present a δ 13 C-DIC dataset for the North Atlantic which has undergone secondary quality control. The data originate from oceanographic research cruises between 1981 and 2014. During a primary quality control step based on simple range tests, obviously bad data were flagged. In a second quality control step, biases between measurements from different cruises were quantified through a crossover analysis using nearby data of the respective cruises, and values of biased cruises were adjusted in the data product. The crossover analysis was possible for 24 of the 32 cruises in our dataset, and adjustments were applied to 11 cruises. The internal accuracy of this dataset is 0.017 ‰. The dataset is available via the Carbon Dioxide Information Analysis Center (CDIAC) at http://cdiac.ornl.gov/oceans/ndp_096/NAC13v1.html , doi:10.3334/CDIAC/OTG.NAC13v1 . Text North Atlantic Copernicus Publications: E-Journals Earth System Science Data 8 2 559 570
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description The stable carbon isotope composition of dissolved inorganic carbon ( δ 13 C-DIC) can be used to quantify fluxes within the carbon system. For example, knowing the δ 13 C signature of the inorganic carbon pool can help in describing the amount of anthropogenic carbon in the water column. The measurements can also be used for evaluating modeled carbon fluxes, for making basin-wide estimates of anthropogenic carbon, and for studying seasonal and interannual variability or decadal trends in interior ocean biogeochemistry. For all these purposes, it is not only important to have a sufficient amount of data, but these data must also be internally consistent and of high quality. In this study, we present a δ 13 C-DIC dataset for the North Atlantic which has undergone secondary quality control. The data originate from oceanographic research cruises between 1981 and 2014. During a primary quality control step based on simple range tests, obviously bad data were flagged. In a second quality control step, biases between measurements from different cruises were quantified through a crossover analysis using nearby data of the respective cruises, and values of biased cruises were adjusted in the data product. The crossover analysis was possible for 24 of the 32 cruises in our dataset, and adjustments were applied to 11 cruises. The internal accuracy of this dataset is 0.017 ‰. The dataset is available via the Carbon Dioxide Information Analysis Center (CDIAC) at http://cdiac.ornl.gov/oceans/ndp_096/NAC13v1.html , doi:10.3334/CDIAC/OTG.NAC13v1 .
format Text
author Becker, Meike
Andersen, Nils
Erlenkeuser, Helmut
Humphreys, Matthew P.
Tanhua, Toste
Körtzinger, Arne
spellingShingle Becker, Meike
Andersen, Nils
Erlenkeuser, Helmut
Humphreys, Matthew P.
Tanhua, Toste
Körtzinger, Arne
An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
author_facet Becker, Meike
Andersen, Nils
Erlenkeuser, Helmut
Humphreys, Matthew P.
Tanhua, Toste
Körtzinger, Arne
author_sort Becker, Meike
title An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
title_short An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
title_full An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
title_fullStr An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
title_full_unstemmed An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean – NAC13v1
title_sort internally consistent dataset of δ13c-dic in the north atlantic ocean – nac13v1
publishDate 2018
url https://doi.org/10.5194/essd-8-559-2016
https://essd.copernicus.org/articles/8/559/2016/
genre North Atlantic
genre_facet North Atlantic
op_source eISSN: 1866-3516
op_relation doi:10.5194/essd-8-559-2016
https://essd.copernicus.org/articles/8/559/2016/
op_doi https://doi.org/10.5194/essd-8-559-2016
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container_issue 2
container_start_page 559
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