Simulation of oxygen isotopes in a global ocean model

Abstract: We incorporate the oxygen isotope composition of seawater δ18Ow into a global ocean model that is based on the Modular Ocean Model (MOM, version 2) of the Geophysical Fluid Dynamics Laboratory (GFDL). In a first experiment, this model is run to equilibrium to simulate the present-day ocean...

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Main Authors: A. Paul, S. Mulitza, J. Pätzold, T. Wolff
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: Springer 1999
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.2306
http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.586.2306 2023-05-15T13:50:09+02:00 Simulation of oxygen isotopes in a global ocean model A. Paul S. Mulitza J. Pätzold T. Wolff The Pennsylvania State University CiteSeerX Archives 1999 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.2306 http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf en eng Springer http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.2306 http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf text 1999 ftciteseerx 2016-01-08T13:16:37Z Abstract: We incorporate the oxygen isotope composition of seawater δ18Ow into a global ocean model that is based on the Modular Ocean Model (MOM, version 2) of the Geophysical Fluid Dynamics Laboratory (GFDL). In a first experiment, this model is run to equilibrium to simulate the present-day ocean; in a second experiment, the oxygen isotope composition of Antarctic Surface Water (AASW) is set to a constant value to indirectly account for the effect of sea-ice. We check the depth distribution of δ18Ow against observations. Furthermore, we computed the equilibrium fractionation of the oxygen isotope composition of calcite δ18Oc from a paleotemperature equation and compared it with benthic foraminiferal δ18O. The simulated δ18Ow distribution compares fairly well with the GEOSECS data. We show that the δ18Ow values can be used to characterize different water masses. However, a warm bias of the global ocean model yields δ18Oc values that are too light by about 0.5 ‰ above 2 km depth and exhibit a false vertical gradient below 2 km depth. Our ultimate goal is to interpret the wealth of foraminiferal δ18O data in terms of water mass changes in the paleocean, e.g. at the Last Glacial Maximum (LGM). This requires the warm bias of the global ocean model to be corrected. Furthermore the model must probably be coupled to simple atmosphere and sea-ice models such that neither sea-surface salinity (SSS) nor surface δ18Ow need to be prescribed and the use of present-day δ18Ow-salinity relationships can be avoided. Text Antarc* Antarctic Sea ice Unknown Antarctic
institution Open Polar
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language English
description Abstract: We incorporate the oxygen isotope composition of seawater δ18Ow into a global ocean model that is based on the Modular Ocean Model (MOM, version 2) of the Geophysical Fluid Dynamics Laboratory (GFDL). In a first experiment, this model is run to equilibrium to simulate the present-day ocean; in a second experiment, the oxygen isotope composition of Antarctic Surface Water (AASW) is set to a constant value to indirectly account for the effect of sea-ice. We check the depth distribution of δ18Ow against observations. Furthermore, we computed the equilibrium fractionation of the oxygen isotope composition of calcite δ18Oc from a paleotemperature equation and compared it with benthic foraminiferal δ18O. The simulated δ18Ow distribution compares fairly well with the GEOSECS data. We show that the δ18Ow values can be used to characterize different water masses. However, a warm bias of the global ocean model yields δ18Oc values that are too light by about 0.5 ‰ above 2 km depth and exhibit a false vertical gradient below 2 km depth. Our ultimate goal is to interpret the wealth of foraminiferal δ18O data in terms of water mass changes in the paleocean, e.g. at the Last Glacial Maximum (LGM). This requires the warm bias of the global ocean model to be corrected. Furthermore the model must probably be coupled to simple atmosphere and sea-ice models such that neither sea-surface salinity (SSS) nor surface δ18Ow need to be prescribed and the use of present-day δ18Ow-salinity relationships can be avoided.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author A. Paul
S. Mulitza
J. Pätzold
T. Wolff
spellingShingle A. Paul
S. Mulitza
J. Pätzold
T. Wolff
Simulation of oxygen isotopes in a global ocean model
author_facet A. Paul
S. Mulitza
J. Pätzold
T. Wolff
author_sort A. Paul
title Simulation of oxygen isotopes in a global ocean model
title_short Simulation of oxygen isotopes in a global ocean model
title_full Simulation of oxygen isotopes in a global ocean model
title_fullStr Simulation of oxygen isotopes in a global ocean model
title_full_unstemmed Simulation of oxygen isotopes in a global ocean model
title_sort simulation of oxygen isotopes in a global ocean model
publisher Springer
publishDate 1999
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.2306
http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
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genre_facet Antarc*
Antarctic
Sea ice
op_source http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf
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http://www.geo.uni-bremen.de/~apau/publications/paul_et_al_1999.pdf
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