An internally consistent dataset of δ 13 C-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 measurem...

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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: Article in Journal/Newspaper
Language:English
Published: 2016
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Online Access:https://eprints.soton.ac.uk/406243/
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spelling ftsouthampton:oai:eprints.soton.ac.uk:406243 2023-07-30T04:05:19+02:00 An internally consistent dataset of δ 13 C-DIC in the North Atlantic Ocean - NAC13v1 Becker, Meike Andersen, Nils Erlenkeuser, Helmut Humphreys, Matthew P. Tanhua, Toste Körtzinger, Arne 2016-10-26 https://eprints.soton.ac.uk/406243/ English eng Becker, Meike, Andersen, Nils, Erlenkeuser, Helmut, Humphreys, Matthew P., Tanhua, Toste and Körtzinger, Arne (2016) An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean - NAC13v1. Earth System Science Data, 8 (2), 559-570. (doi:10.5194/essd-8-559-2016 <http://dx.doi.org/10.5194/essd-8-559-2016>). Article PeerReviewed 2016 ftsouthampton https://doi.org/10.5194/essd-8-559-2016 2023-07-09T22:13:31Z 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 ‰. Article in Journal/Newspaper North Atlantic University of Southampton: e-Prints Soton Earth System Science Data 8 2 559 570
institution Open Polar
collection University of Southampton: e-Prints Soton
op_collection_id ftsouthampton
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 ‰.
format Article in Journal/Newspaper
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 δ 13 C-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 δ 13 C-DIC in the North Atlantic Ocean - NAC13v1
title_short An internally consistent dataset of δ 13 C-DIC in the North Atlantic Ocean - NAC13v1
title_full An internally consistent dataset of δ 13 C-DIC in the North Atlantic Ocean - NAC13v1
title_fullStr An internally consistent dataset of δ 13 C-DIC in the North Atlantic Ocean - NAC13v1
title_full_unstemmed An internally consistent dataset of δ 13 C-DIC in the North Atlantic Ocean - NAC13v1
title_sort internally consistent dataset of δ 13 c-dic in the north atlantic ocean - nac13v1
publishDate 2016
url https://eprints.soton.ac.uk/406243/
genre North Atlantic
genre_facet North Atlantic
op_relation Becker, Meike, Andersen, Nils, Erlenkeuser, Helmut, Humphreys, Matthew P., Tanhua, Toste and Körtzinger, Arne (2016) An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean - NAC13v1. Earth System Science Data, 8 (2), 559-570. (doi:10.5194/essd-8-559-2016 <http://dx.doi.org/10.5194/essd-8-559-2016>).
op_doi https://doi.org/10.5194/essd-8-559-2016
container_title Earth System Science Data
container_volume 8
container_issue 2
container_start_page 559
op_container_end_page 570
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