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Cited by 270

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Modeling ice shelf cavities in a z coordinate ocean general circulation model

Open access
Losch, M.·2008·Journal of Geophysical Research: Oceans

Abstract

Processes at the ice shelf‐ocean interface and in particular in ice shelf cavities around Antarctica have an observable effect on the solutions of basin scale to global coupled ice‐ocean models. Despite this, these processes are not routinely represented in global ocean and climate models. It is shown that a new ice shelf cavity model for z coordinate models can reproduce results from an intercomparison project of earlier approaches with vertical σ or isopycnic coordinates. As a proof of concept, ice shelves are incorporated in a 100‐year global integration of a z coordinate model. In this simulation, glacial meltwater can be traced as far as north as 15°S. The observed effects of processes in the ice shelf cavities agree with previous results from a σ coordinate model, notably the increase in sea ice thickness. However, melt rates are overestimated probably because the parameterization of basal melting does not suit the low resolution of this configuration.

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Crossref · 10.1029/2007jc004368

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Metadata

Authors
Losch, M.
Venue
Journal of Geophysical Research: Oceans
Published
2008-08
Volume
113
Issue
C8
ISSN
0148-0227 (ISSN-L)
OpenAlex
W1970910879
Cited by
270
References
24
FWCI
1.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Modeling ice shelf cavities in a z coordinate ocean general circulation model. https://app.cochat.ai/papers/10.1029/2007jc004368
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Losch, M. (2008). Modeling ice shelf cavities in a z coordinate ocean general circulation model. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2007jc004368

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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.