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Interannual variability in oceanic biogeochemical processes inferred by inversion of atmospheric O2/N2 and CO2 data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons62529

Rödenbeck,  C.
Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons62461

Le Quéré,  C.
Department Biogeochemical Synthesis, Prof. C. Prentice, Max Planck Institute for Biogeochemistry, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons62402

Heimann,  M.
Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Zitation

Rödenbeck, C., Le Quéré, C., Heimann, M., & Keeling, R. F. (2008). Interannual variability in oceanic biogeochemical processes inferred by inversion of atmospheric O2/N2 and CO2 data. Tellus, Series B - Chemical and Physical Meteorology, 60(5), 685-705. doi:10.1111/j.1600-0889.2008.00375.x.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-000E-D749-F
Zusammenfassung
Atmospheric measurements of O-2/N-2 and CO2 at up to nine sites have been used to infer the interannual variations in oceanic O-2 exchange with an inverse method. The method distinguishes the regional contributions of three latitudinal bands, partly the individual contributions of the North Pacific and the North Atlantic also. The interannual variations of the inferred O-2 fluxes in the tropical band correlate significantly with the El Nino/Southern Oscillation. Tropical O-2 variations appear to be dominated by the ventilation of the O-2 minimum zone from variations in Pacific equatorial upwelling. The interannual variations of the northern and southern extratropical bands are of similar amplitude, though the attribution to mechanisms is less clear. The interannual variations estimated by the inverse method are larger than those estimated by the current generation of global ocean biogeochemistry models, especially in the North Atlantic, suggesting that the representation of biological processes plays a role. The comparison further suggests that O-2 variability is a more stringent test to validate models than CO2 variability, because the processes driving O-2 variability combine in the same direction and amplify the underlying climatic signal.