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The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate
Open accessAbstract
A new climate model, HadGEM3 N96ORCA1, is presented that is part of the GC3.1 configuration of HadGEM3. N96ORCA1 has a horizontal resolution of ~135 km in the atmosphere and 1° in the ocean and requires an order of magnitude less computing power than its medium‐resolution counterpart, N216ORCA025, while retaining a high degree of performance traceability. Scientific performance is compared to both observations and the N216ORCA025 model. N96ORCA1 reproduces observed climate mean and variability almost as well as N216ORCA025. Patterns of biases are similar across the two models. In the northwest Atlantic, N96ORCA1 shows a cold surface bias of up to 6 K, typical of ocean models of this resolution. The strength of the Atlantic meridional overturning circulation (16 to 17 Sv) matches observations. In the Southern Ocean, a warm surface bias (up to 2 K) is smaller than in N216ORCA025 and linked to improved ocean circulation. Model El Niño/Southern Oscillation and Atlantic Multidecadal Variability are close to observations. Both the cold bias in the Northern Hemisphere (N96ORCA1) and the warm bias in the Southern Hemisphere (N216ORCA025) develop in the first few decades of the simulations. As in many comparable climate models, simulated interhemispheric gradients of top‐of‐atmosphere radiation are larger than observations suggest, with contributions from both hemispheres. HadGEM3 GC3.1 N96ORCA1 constitutes the physical core of the UK Earth System Model (UKESM1) and will be used extensively in the Coupled Model Intercomparison Project 6 (CMIP6), both as part of the UK Earth System Model and as a stand‐alone coupled climate model.
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The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
Eyring, 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
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., & Kaplan, A. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002670 · Cited by 10,991
Adler, R. F., Huffman, G. J., Chang, A. T. C., Ferraro, R. R., Xie, P., Janowiak, J. E., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D. T., et al. (2003) · Journal of Hydrometeorology · doi:10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2 · Cited by 5,425
Xie, P., & Arkin, P. A. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<2539:gpayma>2.0.co;2 · Cited by 4,307
de Boyer Montégut, C., Madec, G., Fischer, A. S., Lazar, A., & Iudicone, D. (2004) · Journal of Geophysical Research: Oceans · doi:10.1029/2004jc002378 · Cited by 3,182
Good, S. A., Martin, M. J., & Rayner, N. A. (2013) · Journal of Geophysical Research: Oceans · doi:10.1002/2013jc009067 · Cited by 1,861
Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., et al. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.07.001 · Cited by 1,521
A model for the global variation in oceanic depth and heat flow with lithospheric age
Stein, C. A., & Stein, S. (1992) · Nature · doi:10.1038/359123a0 · Cited by 1,515
Jung, M., Reichstein, M., Margolis, H. A., Cescatti, A., Richardson, A. D., Arain, M. A., Arneth, A., Bernhofer, C., Bonal, D., Chen, J., et al. (2011) · Journal of Geophysical Research · doi:10.1029/2010jg001566 · Cited by 1,392
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Allan, R. P., Barlow, M., Byrne, M. P., Cherchi, A., Douville, H., Fowler, H. J., Gan, T. Y., Pendergrass, A. G., Rosenfeld, D., Swann, A. L. S., et al. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14337 · Cited by 687
Historical Simulations With HadGEM3‐GC3.1 for CMIP6
Andrews, M. B., Ridley, J. K., Wood, R. A., Andrews, T., Blockley, E. W., Booth, B., Burke, E., Dittus, A. J., Florek, P., Gray, L. J., et al. (2020) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001995 · Cited by 253
Self-citationEmergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?
Schlund, M., Lauer, A., Gentine, P., Sherwood, S. C., & Eyring, V. (2020) · Earth System Dynamics · doi:10.5194/esd-11-1233-2020 · Cited by 178
Visioni, D., Bednarz, E. M., Lee, W. R., Kravitz, B., Jones, A., Haywood, J. M., & MacMartin, D. G. (2023) · Atmospheric Chemistry and Physics · doi:10.5194/acp-23-663-2023 · Cited by 69
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
Metadata
- Authors
- Kuhlbrodt, T., Jones, C. G., Sellar, A., Storkey, D., Blockley, E., Stringer, M., Hill, R., Graham, T., Ridley, J., Blaker, A., Calvert, D., Copsey, D., Ellis, R., Hewitt, H., Hyder, P., Ineson, S., Mulcahy, J., Siahaan, A., & Walton, J.
- Venue
- Journal of Advances in Modeling Earth Systems
- Publisher
- American Geophysical Union (AGU)
- Published
- 2018-11
- Volume
- 10
- Issue
- 11
- Pages
- 2865-2888
- ISSN
- 1942-2466 (ISSN-L)
- OpenAlex
- W2899086334
- Cited by
- 331
- References
- 66
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kuhlbrodt, T., Jones, C. G., Sellar, A., Storkey, D., Blockley, E., Stringer, M., Hill, R., Graham, T., Ridley, J., Blaker, A., Calvert, D., Copsey, D., Ellis, R., Hewitt, H., Hyder, P., Ineson, S., Mulcahy, J., Siahaan, A., & Walton, J. (2018). The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2018ms001370
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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.
