Temporal variations and trends of CFC11 and CFC12 surface and deep water saturations in Antarctic marginal seas: Results of a regional ocean circulation model

The knowledge of chlorofluorocarbon (CFC11, CFC12) concentrations in ocean surface waters is a prerequisite for deriving formation rates of, and water mass ages in, deep and bottom waters on the basis of CFC data. In the Antarctic coastal region, surface-layer data are sparse in time and space, prim...

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Bibliographic Details
Published in:Deep Sea Research Part I: Oceanographic Research Papers
Main Authors: Rodehacke, Christian, Roether, W., Hellmer, Hartmut, Hall, T.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2010
Subjects:
Online Access:https://epic.awi.de/id/eprint/18566/
https://epic.awi.de/id/eprint/18566/1/Rod2008a.pdf
https://doi.org/10.1016/j.dsr.2009.09.008
https://hdl.handle.net/10013/epic.34042
https://hdl.handle.net/10013/epic.34042.d001
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Summary:The knowledge of chlorofluorocarbon (CFC11, CFC12) concentrations in ocean surface waters is a prerequisite for deriving formation rates of, and water mass ages in, deep and bottom waters on the basis of CFC data. In the Antarctic coastal region, surface-layer data are sparse in time and space, primarily due to the limited accessibility of the region. To help filling this gap, we carried out CFC simulations using a regional ocean general circulation model (OGCM) for the Southern Ocean, which includes the ocean-ice shelf interaction. The simulated surface layer saturations, i.e. the actual surface concentrations relative to solubility-equilibrium values, are verified against available observations. The CFC input fluxes driven by concentration gradients between atmosphere and ocean are controlled mainly by the sea ice cover and sea surface temperature and salinity. However, no uniform explanation exists for the controlling mechanisms. Here we present simulated long-term trends and seasonal variations of surface-layer saturation at Southern Ocean deep and bottom water formation sites and other key regions, and we discuss differences between these regions. The amplitudes of the seasonal saturation cycle range from 22% to 66% and their long-term trends amount to rises of 0.1%/year to 0.9%/year. The seasonal saturation maximum lags the ice cover minimum by 2 months. We show that ignoring the trends and using instead the saturations actually observed can lead to systematic errors in deduced inventory-based formation rates by up to 10% and suggest an erroneous decline with time.