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Possible atmospheric CO 2 extremes of the Middle Cretaceous (late Albian–Turonian)
Author(s) -
Bice Karen L.,
Norris Richard D.
Publication year - 2002
Publication title -
paleoceanography
Language(s) - English
Resource type - Journals
eISSN - 1944-9186
pISSN - 0883-8305
DOI - 10.1029/2002pa000778
Subject(s) - foraminifera , geology , southern hemisphere , northern hemisphere , cretaceous , latitude , carbon dioxide in earth's atmosphere , atmospheric sciences , plankton , forcing (mathematics) , climatology , paleoceanography , ocean general circulation model , oceanography , benthic zone , climate change , general circulation model , paleontology , geodesy
Atmospheric carbon dioxide (CO 2 ) estimates for the Middle Cretaceous (MK) have a range of >4000 ppm, which presents considerable uncertainty in understanding the possible causes of warmth for this interval. This paper examines the problem of MK greenhouse forcing from an inverse perspective: we estimate upper ocean water temperatures from oxygen isotope measurements of well‐preserved late Albian–Turonian planktonic foraminifera and compare these against temperatures predicted by general circulation model (GCM) experiments with CO 2 concentrations of 500–7500 ppm. At least 4500 ppm CO 2 is required to match maximum temperatures inferred from well‐preserved planktonic foraminifera. Approximately 900 ppm CO 2 produces a good match between the model and the minimum temperature estimates for the MK. An ocean model forced by these two extremes in surface conditions brackets nearly all available bottom water temperature estimates for this interval. The climate model results support nearly the entire range of MK CO 2 estimates from proxy data. The ocean model suggests possible MK oceanographic changes from deep water formation in the high latitude region of one hemisphere to the other hemisphere in response to changes in atmospheric temperatures and hydrologic cycle strength. We suggest that, rather than contradicting one another, the various proxy CO 2 techniques (especially those with high temporal resolution) may capture true variability in CO 2 concentrations and that MK CO 2 could have varied by several thousand ppm through this interval.

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