Despite improvements in our understanding of the Southern Ocean air-sea flux of CO2, discrepancies still exist between a variety of differing ocean/atmosphere methodologies. Here we employ an independent method to estimate the Southern Ocean air-sea flux of CO2 that exploits all available surface ocean measurements for dissolved inorganic carbon ( DIC) and total alkalinity ( ALK) beyond 1986. The DIC concentrations were normalized to the year 1995 using coinciding CFC measurements in order to account for the anthropogenic CO2 signal. We show that independent of season, surface-normalized DIC and ALK can be empirically predicted to within similar to 8 mu mol/kg using standard hydrographic properties. The predictive equations were used in conjunction with World Ocean Atlas ( 2001) climatologies to give a first estimate of the annual cycle of DIC and ALK in the surface Southern Ocean. These seasonal distributions will be very useful in both validating biogeochemistry in general circulation models and for use in situ biological studies within the Southern Ocean. Using optimal CO2 dissociation constants, we then estimate an annual cycle of pCO(2) and associated net air-sea CO2 flux. Including the effects of sea ice, we estimate a Southern Ocean (> 50 degrees S) CO2 sink of 0.4 +/- 0.25 Pg C/yr. Our analysis also indicates a substantial CO2 sink of 1.1 +/- 0.6 Pg C/yr within the sub-Antarctic zone ( 40 degrees S - 50 degrees S), associated with strong cooling and high winds. Our results imply the Southern Ocean CO2 flux south of 50 degrees S to be very similar to those found by Takahashi et al. ( 2002), but on the higher end of a range of atmospheric/oceanic CO2 inversion methodologies. This paper estimates for the first time basic seasonal carbon cycle parameters within the circumpolar Southern Ocean, which have up to now been extremely difficult to measure and sparse. The application of such an empirical technique using more widely available hydrographic parameters in the Southern Ocean provides an important independent estimate to not only CO2 uptake, but also for other future biogeochemical studies. Refining and testing these empirical methods with new carbon measurements will be important to further reduce uncertainties and extend our understanding of Southern Ocean CO2 dynamics.
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Univ Paris 06, LOCEAN, UMR 7159, IRD,CNRS,MNHN, F-75252 Paris 05, France
Univ Abidjan Cocody, Lab Phys Atmosphere & Mecan Fluides, Abidjan 01, Cote IvoireUniv Paris 06, LOCEAN, UMR 7159, IRD,CNRS,MNHN, F-75252 Paris 05, France
Koffi, Urbain
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Lefevre, Nathalie
Kouadio, Georges
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Univ Abidjan Cocody, Lab Phys Atmosphere & Mecan Fluides, Abidjan 01, Cote IvoireUniv Paris 06, LOCEAN, UMR 7159, IRD,CNRS,MNHN, F-75252 Paris 05, France
Kouadio, Georges
Boutin, Jacqueline
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Univ Paris 06, LOCEAN, UMR 7159, IRD,CNRS,MNHN, F-75252 Paris 05, FranceUniv Paris 06, LOCEAN, UMR 7159, IRD,CNRS,MNHN, F-75252 Paris 05, France
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Annamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Shanthi, R.
Poornima, D.
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Annamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Poornima, D.
Naveen, M.
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Annamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Naveen, M.
Thangaradjou, T.
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Annamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Sci & Engn Res Board, New Delhi, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Thangaradjou, T.
Choudhury, S. B.
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Natl Remote Sensing Ctr, Ocean Sci Grp, Ocean Colour Applicat & Measurement Div, Hyderabad 500625, Andhra Pradesh, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Choudhury, S. B.
Rao, K. H.
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Natl Remote Sensing Ctr, Ocean Sci Grp, Ocean Colour Applicat & Measurement Div, Hyderabad 500625, Andhra Pradesh, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
Rao, K. H.
Dadhwal, V. K.
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Natl Remote Sensing Ctr, Ocean Sci Grp, Ocean Colour Applicat & Measurement Div, Hyderabad 500625, Andhra Pradesh, IndiaAnnamalai Univ, Fac Marine Sci, Ctr Adv Study Marine Biol, Parangipettai 608502, Tamil Nadu, India
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Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Jiangxi Acad Forestry, Nanchang, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Zhang, Gong
Yang, Qinghua
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Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Guangdong Prov Data Ctr Terr & Marine Ecosyst Carb, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Yang, Qinghua
Han, Bo
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Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Guangdong Prov Data Ctr Terr & Marine Ecosyst Carb, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Han, Bo
Prytherch, John
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Uppsala Univ, Dept Earth Sci, Uppsala, SwedenSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Prytherch, John
Thornton, Brett F.
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Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden
Stockholm Univ, Dept Geol Sci, Stockholm, SwedenSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
Thornton, Brett F.
Chen, Dake
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Sun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China