Design of an observational strategy for quantifying the Southern Ocean uptake of CO 2
International audience A sampling strategy to estimate the annual mean CO 2 uptake by the Southern Ocean was developed by applying two-dimensional Fourier transforms and signal-to-noise ratios to the simulated air-sea CO 2 fluxes and ΔpCO 2 from an ocean biogeochemical model driven with NCEP-R1. Obs...
Published in: | Global Biogeochemical Cycles |
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Main Authors: | , , |
Other Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2006
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Subjects: | |
Online Access: | https://hal.archives-ouvertes.fr/hal-00770730 https://hal.archives-ouvertes.fr/hal-00770730/document https://hal.archives-ouvertes.fr/hal-00770730/file/2005GB002620.pdf https://doi.org/10.1029/2005GB002620 |
Summary: | International audience A sampling strategy to estimate the annual mean CO 2 uptake by the Southern Ocean was developed by applying two-dimensional Fourier transforms and signal-to-noise ratios to the simulated air-sea CO 2 fluxes and ΔpCO 2 from an ocean biogeochemical model driven with NCEP-R1. Observations of pCO 2 were used to validate the statistical properties of the model and to estimate the mesoscale variability not captured by the model resolution. Sampling regularly every 3 months, at every 30° in longitude and 3° in latitude is sufficient to determine the net Southern Ocean CO 2 uptake. We applied this sampling strategy to the simulated air-sea fluxes to estimate a net annual mean CO 2 uptake of 0.6 +/- 0.1 PgC/yr (1990-1999). This uncertainty in the estimate was dominated by the simulated interannual variability, and not by errors in the sampling or unresolved mesoscale variability. Therefore sampling at higher resolutions in space and time would not reduce the uncertainty in the Southern Ocean annual mean uptake any further. These results show that a doubling of the current Southern Ocean sampling (in longitude) would be required to constrain the net annual mean air-sea CO 2 fluxes to within the natural variability of the system. |
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