The DOI matches its Crossref record.
The Role of Mesoscale Tracer Transports in the Global Ocean Circulation
Abstract
Ocean models routinely used in simulations of the Earth's climate do not resolve mesoscale eddies because of the immense computational cost. A new parameterization of the effects of these eddies has been implemented in a widely used model. A comparison of its solution with that of the conventional parameterization shows significant improvements in the global temperature distribution, the poleward and surface heat fluxes, and the locations of deep-water formation.
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Citations
Cited by
Weaver, A. J., Eby, M., Wiebe, E. C., Bitz, C. M., Duffy, P. B., Ewen, T. L., Fanning, A. F., Holland, M. M., MacFadyen, A., Matthews, H. D., et al. (2001) · Atmosphere-Ocean · doi:10.1080/07055900.2001.9649686 · Cited by 734
Oceanic mass transport by mesoscale eddies
Zhang, Z., Wang, W., & Qiu, B. (2014) · Science · doi:10.1126/science.1252418 · Cited by 632
Data‐Driven Equation Discovery of Ocean Mesoscale Closures
Zanna, L., & Bolton, T. (2020) · Geophysical Research Letters · doi:10.1029/2020gl088376 · Cited by 259
Metadata
- Authors
- Danabasoglu, G., McWilliams, J. C., & Gent, P. R.
- Venue
- Science
- Published
- 1994-05-20
- Volume
- 264
- Issue
- 5162
- Pages
- 1123-1126
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2052837945
- Cited by
- 283
- References
- 0
- FWCI
- 12.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Role of Mesoscale Tracer Transports in the Global Ocean Circulation. https://app.cochat.ai/papers/10.1126/science.264.5162.1123
- The paper
- Danabasoglu, G., McWilliams, J. C., & Gent, P. R. (1994). The Role of Mesoscale Tracer Transports in the Global Ocean Circulation. Science. https://doi.org/10.1126/science.264.5162.1123
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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.
