The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project
Open accessAbstract
Abstract. The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the Coupled Model Intercomparison Project Phase 6 (CMIP6). OMIP addresses CMIP6 science questions, investigating the origins and consequences of systematic model biases. It does so by providing a framework for evaluating (including assessment of systematic biases), understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate and earth system models contributing to CMIP6. Among the WCRP Grand Challenges in climate science (GCs), OMIP primarily contributes to the regional sea level change and near-term (climate/decadal) prediction GCs.OMIP provides (a) an experimental protocol for global ocean/sea-ice models run with a prescribed atmospheric forcing; and (b) a protocol for ocean diagnostics to be saved as part of CMIP6. We focus here on the physical component of OMIP, with a companion paper (Orr et al., 2016) detailing methods for the inert chemistry and interactive biogeochemistry. The physical portion of the OMIP experimental protocol follows the interannual Coordinated Ocean-ice Reference Experiments (CORE-II). Since 2009, CORE-I (Normal Year Forcing) and CORE-II (Interannual Forcing) have become the standard methods to evaluate global ocean/sea-ice simulations and to examine mechanisms for forced ocean climate variability. The OMIP diagnostic protocol is relevant for any ocean model component of CMIP6, including the DECK (Diagnostic, Evaluation and Characterization of Klima experiments), historical simulations, FAFMIP (Flux Anomaly Forced MIP), C4MIP (Coupled Carbon Cycle Climate MIP), DAMIP (Detection and Attribution MIP), DCPP (Decadal Climate Prediction Project), ScenarioMIP, HighResMIP (High Resolution MIP), as well as the ocean/sea-ice OMIP simulations.
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Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Self-citationEyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
Self-citationOceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization
Large, W. G., McWilliams, J. C., & Doney, S. C. (1994) · Reviews of Geophysics · doi:10.1029/94rg01872 · Cited by 4,443
Self-citationThe global climatology of an interannually varying air-sea flux data set.
Large, W. G., & Yeager, S. G. (2009) · Climate Dynamics · doi:10.1007/s00382-008-0441-3 · Cited by 1,636
Self-citationOcean salinities reveal strong global water cycle intensification during 1950 to 2000.
Durack, P. J., Wijffels, S. E., & Matear, R. J. (2012) · Science · doi:10.1126/science.1212222 · Cited by 1,070
Self-citation(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.026 · Cited by 342
Cited by
Lagrangian ocean analysis: Fundamentals and practices
van Sebille, E., Griffies, S. M., Abernathey, R., Adams, T. P., Berloff, P., Biastoch, A., Blanke, B., Chassignet, E. P., Cheng, Y., Cotter, C. J., et al. (2018) · Ocean Modelling · doi:10.1016/j.ocemod.2017.11.008 · Cited by 601
Self-citationJones, C. D., Arora, V., Friedlingstein, P., Bopp, L., Brovkin, V., Dunne, J., Graven, H., Hoffman, F., Ilyina, T., John, J. G., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-2853-2016 · Cited by 365
Self-citationJungclaus, J. H., Bard, E., Baroni, M., Braconnot, P., Cao, J., Chini, L. P., Egorova, T., Evans, M., González-Rouco, J. F., Goosse, H., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-4005-2017 · Cited by 320
“PMIP will provide input to and benefit from diagnostic projects performed within the framework of the Ocean Model Intercomparison Project (OMIP, Griffies et al., 2016) and its biogeochemical component (OCMIP, Orr et al., 2016), the Sea-Ice MIP (SIMIP, Notz et al., 2016), the Fluxanomaly-forced MIP…”
MethodSelf-citationModelling considerations for research on ocean alkalinity enhancement (OAE)
Fennel, K., Long, M. C., Algar, C., Carter, B., Keller, D., Laurent, A., Mattern, J. P., Musgrave, R., Oschlies, A., Ostiguy, J., et al. (2023) · State of the Planet · doi:10.5194/sp-2-oae2023-9-2023 · Cited by 64
The Tuning Strategy of IPSL‐CM6A‐LR
Mignot, J., Hourdin, F., Deshayes, J., Boucher, O., Gastineau, G., Musat, I., Vancoppenolle, M., Servonnat, J., Caubel, A., Chéruy, F., et al. (2021) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2020ms002340 · Cited by 36
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Metadata
- Authors
- Griffies, S. M., Danabasoglu, G., Durack, P. J., Adcroft, A. J., Balaji, V., Böning, C. W., Chassignet, E. P., Curchitser, E., Deshayes, J., Drange, H., Fox-Kemper, B., Gleckler, P. J., Gregory, J. M., Haak, H., Hallberg, R. W., Heimbach, P., Hewitt, H. T., Holland, D. M., Ilyina, T., Jungclaus, J. H., Komuro, Y., Krasting, J. P., Large, W. G., Marsland, S. J., Masina, S., McDougall, T. J., Nurser, A. J. G., Orr, J. C., Pirani, A., Qiao, F., Stouffer, R. J., Taylor, K. E., Treguier, A. M., Tsujino, H., Uotila, P., Valdivieso, M., Wang, Q., Winton, M., & Yeager, S. G.
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2016-09-19
- Volume
- 9
- Issue
- 9
- Pages
- 3231-3296
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2522562021
- Cited by
- 450
- References
- 6
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Griffies, S. M., Danabasoglu, G., Durack, P. J., Adcroft, A. J., Balaji, V., Böning, C. W., Chassignet, E. P., Curchitser, E., Deshayes, J., Drange, H., Fox-Kemper, B., Gleckler, P. J., Gregory, J. M., Haak, H., Hallberg, R. W., Heimbach, P., Hewitt, H. T., Holland, D. M., Ilyina, T., . . . Yeager, S. G. (2016). OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project. Geoscientific Model Development. https://doi.org/10.5194/gmd-9-3231-2016
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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.
