Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>

We describe the design and evaluation of a large ensemble of coupled climate–carbon cycle simulations with the Earth system model of intermediate complexity GENIE. This ensemble has been designed for application to a range of carbon cycle questions, including the causes of late-Quaternary fluctuatio...

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Main Authors: P. B. Holden, N. R. Edwards, S. A. Müller, K. I. C. Oliver, R. M. Death, A. Ridgwell
Format: Article
Language:English
Published: Copernicus Publications 2013-03-01
Series:Biogeosciences
Online Access:http://www.biogeosciences.net/10/1815/2013/bg-10-1815-2013.pdf
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author P. B. Holden
N. R. Edwards
S. A. Müller
K. I. C. Oliver
R. M. Death
A. Ridgwell
author_facet P. B. Holden
N. R. Edwards
S. A. Müller
K. I. C. Oliver
R. M. Death
A. Ridgwell
author_sort P. B. Holden
collection DOAJ
description We describe the design and evaluation of a large ensemble of coupled climate–carbon cycle simulations with the Earth system model of intermediate complexity GENIE. This ensemble has been designed for application to a range of carbon cycle questions, including the causes of late-Quaternary fluctuations in atmospheric CO<sub>2</sub>. Here we evaluate the ensemble by applying it to a transient experiment over the recent industrial era (1858 to 2008 AD). We employ singular vector decomposition and principal component emulation to investigate the spatial modes of ensemble variability of oceanic dissolved inorganic carbon (DIC) &delta;<sup>13</sup>C, considering both the spun-up pre-industrial state and the transient change. These analyses allow us to separate the natural (pre-industrial) and anthropogenic controls on the &delta;<sup>13</sup>C<sub>DIC</sub> distribution. We apply the same dimensionally-reduced emulation techniques to consider the drivers of the spatial uncertainty in anthropogenic DIC. We show that the sources of uncertainty related to the uptake of anthropogenic &delta;<sup>13</sup>C<sub>DIC</sub> and DIC are quite distinct. Uncertainty in anthropogenic &delta;<sup>13</sup>C uptake is controlled by air–sea gas exchange, which explains 63% of modelled variance. This mode of variability is largely absent from the ensemble variability in CO<sub>2</sub> uptake, which is rather driven by uncertainties in thermocline ventilation rates. Although the need to account for air–sea gas exchange is well known, these results suggest that, to leading order, uncertainties in the ocean uptake of anthropogenic <sup>13</sup>C and CO<sub>2</sub> are governed by very different processes. This illustrates the difficulties in reconstructing one from the other, and furthermore highlights the need for careful targeting of both &delta;<sup>13</sup>C<sub>DIC</sub> and DIC observations to better constrain the ocean sink of anthropogenic CO<sub>2</sub>.
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spelling doaj.art-12118beb012a41fab1cc861af41f180b2022-12-21T17:15:44ZengCopernicus PublicationsBiogeosciences1726-41701726-41892013-03-011031815183310.5194/bg-10-1815-2013Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>P. B. HoldenN. R. EdwardsS. A. MüllerK. I. C. OliverR. M. DeathA. RidgwellWe describe the design and evaluation of a large ensemble of coupled climate–carbon cycle simulations with the Earth system model of intermediate complexity GENIE. This ensemble has been designed for application to a range of carbon cycle questions, including the causes of late-Quaternary fluctuations in atmospheric CO<sub>2</sub>. Here we evaluate the ensemble by applying it to a transient experiment over the recent industrial era (1858 to 2008 AD). We employ singular vector decomposition and principal component emulation to investigate the spatial modes of ensemble variability of oceanic dissolved inorganic carbon (DIC) &delta;<sup>13</sup>C, considering both the spun-up pre-industrial state and the transient change. These analyses allow us to separate the natural (pre-industrial) and anthropogenic controls on the &delta;<sup>13</sup>C<sub>DIC</sub> distribution. We apply the same dimensionally-reduced emulation techniques to consider the drivers of the spatial uncertainty in anthropogenic DIC. We show that the sources of uncertainty related to the uptake of anthropogenic &delta;<sup>13</sup>C<sub>DIC</sub> and DIC are quite distinct. Uncertainty in anthropogenic &delta;<sup>13</sup>C uptake is controlled by air–sea gas exchange, which explains 63% of modelled variance. This mode of variability is largely absent from the ensemble variability in CO<sub>2</sub> uptake, which is rather driven by uncertainties in thermocline ventilation rates. Although the need to account for air–sea gas exchange is well known, these results suggest that, to leading order, uncertainties in the ocean uptake of anthropogenic <sup>13</sup>C and CO<sub>2</sub> are governed by very different processes. This illustrates the difficulties in reconstructing one from the other, and furthermore highlights the need for careful targeting of both &delta;<sup>13</sup>C<sub>DIC</sub> and DIC observations to better constrain the ocean sink of anthropogenic CO<sub>2</sub>.http://www.biogeosciences.net/10/1815/2013/bg-10-1815-2013.pdf
spellingShingle P. B. Holden
N. R. Edwards
S. A. Müller
K. I. C. Oliver
R. M. Death
A. Ridgwell
Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
Biogeosciences
title Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
title_full Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
title_fullStr Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
title_full_unstemmed Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
title_short Controls on the spatial distribution of oceanic &delta;<sup>13</sup>C<sub>DIC</sub>
title_sort controls on the spatial distribution of oceanic delta sup 13 sup c sub dic sub
url http://www.biogeosciences.net/10/1815/2013/bg-10-1815-2013.pdf
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