FN Archimer Export Format
PT J
TI Improved winter data coverage of the Southern Ocean CO2 sink from extrapolation of summertime observations
BT 
AF Mackay, Neill
   Watson, Andrew J.
   Suntharalingam, Parvada
   Chen, Zhaohui
   Landschützer, Peter
AS 1:1;2:1;3:2;4:2;5:3,4;
FF 1:;2:;3:;4:;5:;
C1 Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK
   School of Environmental Sciences, University of East Anglia, Norwich, UK
   Max Planck Institute for Meteorology, 20146, Hamburg, Germany
   Flanders Marine Institute (VLIZ), InnovOceanSite, 8400, Ostend, Belgium
C2 UNIV EXETER, UK
   UNIV E ANGLIA, UK
   MAX PLANCK INST METEOROL, GERMANY
   FLANDERS MARINE INSTITUTE (VLIZ), BELGIUM
IN DOAJ
IF 7.9
TC 2
UR https://archimer.ifremer.fr/doc/00801/91322/97132.pdf
   https://archimer.ifremer.fr/doc/00801/91322/97133.pdf
   https://archimer.ifremer.fr/doc/00801/91322/97134.pdf
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
AB The Southern Ocean is an important sink of anthropogenic CO2, but it is among the least well-observed ocean basins, and consequentially substantial uncertainties in the CO2 flux reconstruction exist. A recent attempt to address historically sparse wintertime sampling produced ‘pseudo’ wintertime observations of surface pCO2 using subsurface summertime observations south of the Antarctic Polar Front. Here, we present an estimate of the Southern Ocean CO2 sink that combines a machine learning-based mapping method with an updated set of pseudo observations that increases regional wintertime data coverage by 68% compared with the historical dataset. Our results confirm the suggestion that improved winter coverage has a modest impact on the reconstruction, slightly strengthening the uptake trend in the 2000s. After also adjusting for surface boundary layer temperature effects, we find a 2004-2018 mean sink of −0.16 ± 0.07 PgC yr−1 south of the Polar Front and −1.27 ± 0.23 PgC yr−1 south of 35°S, consistent with independent estimates from atmospheric data. 
PY 2022
PD NOV
SO Communications Earth & Environment
SN 2662-4435
PU Springer Science and Business Media LLC
VL 3
IS 1
UT 000879037400002
DI 10.1038/s43247-022-00592-6
ID 91322
ER

EF