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Cited by 397

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Geochemical cycles in an ocean general circulation model. Preindustrial tracer distributions

Maier‐Reimer, Ernst·1993·Global Biogeochemical Cycles

Abstract

A state‐of‐the‐art report is given of the Hamburg model of the oceanic carbon cycle. The model advects geochemical tracers important to the carbon cycle by the currents of a general circulation model. The geochemical cycling is driven by a Michaelis‐Menten type production kinetics. The model is an extension of the Bacastow and Maier‐Reimer (1990) model. It is based on a more realistic current field and includes a mechanism of lysocline‐sediment interaction. Principal variables are ∑CO 2, alkalinity, phosphate, oxygen, and silicate. The carbon variables are defined for 12 C, 13 C, and 14 C separately. In addition to these carbon isotopes, 39 A and δ 18 O of dissolved oxygen are predicted. The model predicts realistic global patterns of tracer distribution. In the equatorial eastern Pacific, however, the structures are exaggerated due to a strong upwelling which is a common feature of coarse resolution models of the general circulation of the ocean.

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Metadata

Authors
Maier‐Reimer, E.
Venue
Global Biogeochemical Cycles
Published
1993-09
Volume
7
Issue
3
Pages
645-677
ISSN
  • 0886-6236 (ISSN-L)
  • 1944-9224
OpenAlex
W2000753477
Cited by
397
References
3
FWCI
12.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Geochemical cycles in an ocean general circulation model. Preindustrial tracer distributions. https://app.cochat.ai/papers/10.1029/93gb01355
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Maier‐Reimer, E. (1993). Geochemical cycles in an ocean general circulation model. Preindustrial tracer distributions. Global Biogeochemical Cycles. https://doi.org/10.1029/93gb01355

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.