Inverse multiparameter modeling of paleoclimate Carbon cycle indices

Heinze, Christoph; Hasselmann, Klaus

doi:10.1006/qres.1993.1082

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Inverse multiparameter modeling of paleoclimate Carbon cycle indices

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Hasselmann, Klaus
MPI for Meteorology, Max Planck Society;

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Heinze, C., & Hasselmann, K. (1993). Inverse multiparameter modeling of paleoclimate Carbon cycle indices. Quaternary Research, 40, 281-296. doi:10.1006/qres.1993.1082.

Cite as: https://hdl.handle.net/21.11116/0000-0008-89A6-2

Abstract

A simple linear response model describing the functional relationship between ocean carbon cycle parameters and paleoclimate tracers (atmospheric p CO2, δ13C, CaCO3 saturation) was derived from a set of sensitivity experiments performed previously using a three-dimensional carbon cycle model. The linear model is optimally fitted to ice and marine sediment core records for the last 120,000 yr to estimate the carbon cycle parameter changes that could have caused the observed reduction of atmospheric CO2 partial pressure during the last glaciation. The analysis indicates that the glacial pCO2 reduction was primarily caused by a strengthening of the biological POC pump and a retardation of the oceanic circulation. An increase in deep-sea alkalinity and a change in the advective pattern of the ocean circulation have a smaller impact on atmospheric CO2 but are necessary to explain the full set of paleoclimate tracers.