2013
DOI: 10.5194/bg-10-4037-2013
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Sea–air CO<sub>2</sub> fluxes in the Southern Ocean for the period 1990–2009

Abstract: Abstract. The Southern Ocean (44–75° S) plays a critical role in the global carbon cycle, yet remains one of the most poorly sampled ocean regions. Different approaches have been used to estimate sea–air CO2 fluxes in this region: synthesis of surface ocean observations, ocean biogeochemical models, and atmospheric and ocean inversions. As part of the RECCAP (REgional Carbon Cycle Assessment and Processes) project, we combine these different approaches to quantify and assess the magnitude and variability in So… Show more

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Cited by 187 publications
(221 citation statements)
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References 78 publications
(105 reference statements)
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“…We have identified a strong bias in the amplitude of carbon uptake simulated by the CMIP5 models for the period 2001-2010 in the Southern Ocean, ranging from a source to the atmosphere to a sink almost 3 times more powerful than has been observed (1.03 ± 0.09 vs. 0.27 ± 0.13 Pg C yr −1 ; Lenton et al, 2013). Inter-model spread in the SO carbon sink arises from variations in the surface pCO 2 seasonality, which is attributed by the bias in the simulated timing and amplitude of primary production and SST.…”
Section: Discussionmentioning
confidence: 76%
See 1 more Smart Citation
“…We have identified a strong bias in the amplitude of carbon uptake simulated by the CMIP5 models for the period 2001-2010 in the Southern Ocean, ranging from a source to the atmosphere to a sink almost 3 times more powerful than has been observed (1.03 ± 0.09 vs. 0.27 ± 0.13 Pg C yr −1 ; Lenton et al, 2013). Inter-model spread in the SO carbon sink arises from variations in the surface pCO 2 seasonality, which is attributed by the bias in the simulated timing and amplitude of primary production and SST.…”
Section: Discussionmentioning
confidence: 76%
“…Figure 4 depicts the inter-model relationships in the SO and eSO domains for R SO mean , R eSO mean , R SO cum , and R eSO cum . In SO, four models (BCC-CSM1.1, NorESM1-ME, MPI-ESM-LR, and CESM1-BGC) overestimate the carbon uptake flux from the atmosphere to the ocean when compared with two independent observationally based estimates of about 0.15 ± 0.12 Pg C yr −1 (Landschützer et al, 2014) and 0.27 ± 0.13 Pg C yr −1 (Lenton et al, 2013); the latter is derived from Takahashi et al (2009) data sets. The highest estimates are simulated by the BCC-CSM1 and NorESM1-ME models at 1.03 ± 0.09 and 0.64 ± 0.11 Pg C yr −1 , respectively.…”
Section: Inter-model Contemporary and Future Co 2 Uptake Relationshipsmentioning
confidence: 93%
“…While the magnitude of the seasonal cycle in the Southern Ocean lies within the upper range of CMIP5 again poor phasing is seen. That the seasonal cycle is out of phase suggests that during the summer the solubility response likely dominates over the NPP response, leading to an outgassing in the summer and uptake in the winter, as discussed in Lenton et al (2013). Consequently, we see that the poor global phasing in global sea-air CO 2 fluxes is likely due to the solubility dominated response of the high latitudes during the summer.…”
Section: Sea-air Co 2 Fluxesmentioning
confidence: 68%
“…This large range in the Tasman Sea likely reflects the variability in the strength of Pacific Western Boundary currents in the ESMs (Hu et al, 2015), which influences the southward extension of the East Australian Current (Ridgway, 2007). In contrast, the differences near southern Australia likely reflect differences in the location of isotherms related to the coarse resolution of current ESMs (Lenton et al, 2013).…”
Section: Assessment Of the Mean Statementioning
confidence: 99%