Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme

A temporally and spatially resolved estimate of the global surface-ocean CO<sub>2</sub> partial pressure field and the sea–air CO<sub>2</sub> flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO&...

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Main Authors: C. Rödenbeck, R. F. Keeling, D. C. E. Bakker, N. Metzl, A. Olsen, C. Sabine, M. Heimann
Format: Article
Language:English
Published: Copernicus Publications 2013-03-01
Series:Ocean Science
Online Access:http://www.ocean-sci.net/9/193/2013/os-9-193-2013.pdf
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spelling doaj-fe46cd6752fe4c0eaa1c84902d77dee42020-11-25T02:26:57ZengCopernicus PublicationsOcean Science1812-07841812-07922013-03-019219321610.5194/os-9-193-2013Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer schemeC. RödenbeckR. F. KeelingD. C. E. BakkerN. MetzlA. OlsenC. SabineM. HeimannA temporally and spatially resolved estimate of the global surface-ocean CO<sub>2</sub> partial pressure field and the sea–air CO<sub>2</sub> flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO<sub>2</sub> partial pressure data from the SOCAT v1.5 database. Results include seasonal, interannual, and short-term (daily) variations. In most regions, estimated seasonality is well constrained from the data, and compares well to the widely used monthly climatology by Takahashi et al. (2009). Comparison to independent data tentatively supports the slightly higher seasonal variations in our estimates in some areas. We also fitted the diagnostic model to atmospheric CO<sub>2</sub> data. The results of this are less robust, but in those areas where atmospheric signals are not strongly influenced by land flux variability, their seasonality is nevertheless consistent with the results based on surface-ocean data. From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration, the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well. Estimated interannual variations will be presented and discussed in a companion paper.http://www.ocean-sci.net/9/193/2013/os-9-193-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. Rödenbeck
R. F. Keeling
D. C. E. Bakker
N. Metzl
A. Olsen
C. Sabine
M. Heimann
spellingShingle C. Rödenbeck
R. F. Keeling
D. C. E. Bakker
N. Metzl
A. Olsen
C. Sabine
M. Heimann
Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
Ocean Science
author_facet C. Rödenbeck
R. F. Keeling
D. C. E. Bakker
N. Metzl
A. Olsen
C. Sabine
M. Heimann
author_sort C. Rödenbeck
title Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
title_short Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
title_full Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
title_fullStr Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
title_full_unstemmed Global surface-ocean <i>p</i><sup>CO<sub>2</sub></sup> and sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
title_sort global surface-ocean <i>p</i><sup>co<sub>2</sub></sup> and sea–air co<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme
publisher Copernicus Publications
series Ocean Science
issn 1812-0784
1812-0792
publishDate 2013-03-01
description A temporally and spatially resolved estimate of the global surface-ocean CO<sub>2</sub> partial pressure field and the sea–air CO<sub>2</sub> flux is presented, obtained by fitting a simple data-driven diagnostic model of ocean mixed-layer biogeochemistry to surface-ocean CO<sub>2</sub> partial pressure data from the SOCAT v1.5 database. Results include seasonal, interannual, and short-term (daily) variations. In most regions, estimated seasonality is well constrained from the data, and compares well to the widely used monthly climatology by Takahashi et al. (2009). Comparison to independent data tentatively supports the slightly higher seasonal variations in our estimates in some areas. We also fitted the diagnostic model to atmospheric CO<sub>2</sub> data. The results of this are less robust, but in those areas where atmospheric signals are not strongly influenced by land flux variability, their seasonality is nevertheless consistent with the results based on surface-ocean data. From a comparison with an independent seasonal climatology of surface-ocean nutrient concentration, the diagnostic model is shown to capture relevant surface-ocean biogeochemical processes reasonably well. Estimated interannual variations will be presented and discussed in a companion paper.
url http://www.ocean-sci.net/9/193/2013/os-9-193-2013.pdf
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