An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean - NAC13v1
An internally consistent dataset of δ13C-DIC in the North Atlantic Ocean - NAC13v1
The stable carbon isotope composition of dissolved inorganic carbon (δ13C-DIC) can be used to quantify fluxes within the carbon system. For example, knowing the δ13C 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 δ13C-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 ‰.
559-570
Becker, Meike
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Andersen, Nils
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Erlenkeuser, Helmut
6032ced0-29ec-4d3b-a393-29e3a879c5b4
Humphreys, Matthew P.
40cb219a-c2dd-4581-94d0-52fb1c992498
Tanhua, Toste
b2f4af95-17a8-4aab-a2c9-047c162b9f2c
Körtzinger, Arne
2b4c4029-55bd-4379-b808-ca6736e04027
Becker, Meike
ea6454aa-ae70-41fc-8d5d-c55f89ec3fef
Andersen, Nils
f684697e-a916-4b7b-8f3f-e0e505e35da0
Erlenkeuser, Helmut
6032ced0-29ec-4d3b-a393-29e3a879c5b4
Humphreys, Matthew P.
40cb219a-c2dd-4581-94d0-52fb1c992498
Tanhua, Toste
b2f4af95-17a8-4aab-a2c9-047c162b9f2c
Körtzinger, Arne
2b4c4029-55bd-4379-b808-ca6736e04027
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), .
(doi:10.5194/essd-8-559-2016).
Abstract
The stable carbon isotope composition of dissolved inorganic carbon (δ13C-DIC) can be used to quantify fluxes within the carbon system. For example, knowing the δ13C 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 δ13C-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 ‰.
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Accepted/In Press date: 15 August 2016
e-pub ahead of print date: 26 October 2016
Organisations:
Marine Biogeochemistry
Identifiers
Local EPrints ID: 406243
URI: http://eprints.soton.ac.uk/id/eprint/406243
ISSN: 1866-3508
PURE UUID: eb735f55-692a-44cb-8eef-9c8242efd27c
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Date deposited: 10 Mar 2017 10:43
Last modified: 05 Jun 2024 19:01
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Contributors
Author:
Meike Becker
Author:
Nils Andersen
Author:
Helmut Erlenkeuser
Author:
Matthew P. Humphreys
Author:
Toste Tanhua
Author:
Arne Körtzinger
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