Evaluation of a near-global eddy-resolving ocean model
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Published:2013-05-03
Issue:3
Volume:6
Page:591-615
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Oke P. R., Griffin D. A., Schiller A.ORCID, Matear R. J., Fiedler R., Mansbridge J., Lenton A., Cahill M., Chamberlain M. A., Ridgway K.
Abstract
Abstract. Analysis of the variability of the last 18 yr (1993–2012) of a 32 yr run of a new near-global, eddy-resolving ocean general circulation model coupled with biogeochemistry is presented. Comparisons between modelled and observed mean sea level (MSL), mixed layer depth (MLD), sea level anomaly (SLA), sea surface temperature (SST), and {\\chla} indicate that the model variability is realistic. We find some systematic errors in the modelled MLD, with the model generally deeper than observations, which results in errors in the {\\chla}, owing to the strong biophysical coupling. We evaluate several other metrics in the model, including the zonally averaged seasonal cycle of SST, meridional overturning, volume transports through key straits and passages, zonally averaged temperature and salinity, and El Niño-related SST indices. We find that the modelled seasonal cycle in SST is 0.5–1.5 °C weaker than observed; volume transports of the Antarctic Circumpolar Current, the East Australian Current, and Indonesian Throughflow are in good agreement with observational estimates; and the correlation between the modelled and observed NINO SST indices exceeds 0.91. Most aspects of the model circulation are realistic. We conclude that the model output is suitable for broader analysis to better understand upper ocean dynamics and ocean variability at mid- and low latitudes. The new model is intended to underpin a future version of Australia's operational short-range ocean forecasting system.
Publisher
Copernicus GmbH
Reference90 articles.
1. Adcroft, A., Hill, C., and Marshall, L.: Representation of topography by shaved cells in a height coordinate ocean model, Mon. Weather Rev., 125, 2293–2315, 1997. 2. Antonov, J. I., Locarnini, R. A., Boyer, T. P., Mishonov, A. V., and Garcia, H. E.: World Ocean Atlas 2005, Volume 2: Salinity, in: NOAA Atlas NESDIS, edited by: Levitus, S., 182 pp., US Government Printing Office, Washington, DC, 2006. 3. Archer, D. E. and Johnson, K.: A Model of the iron cycle in the ocean, Global Biogeochem. Cy., 14, 269–279, 2000. 4. Baird, M. E. and Suthers, I. M.: A size-resolved pelagic ecosystem model, Ecol. Model., 203, 185–203, https://doi.org/10.1016/j.ecolmodel.2006.11.025, 2007. 5. Balmaseda, M. A., Vidard, A., and Anderson, D. L. T.: The ECMWF ocean analysis system: ORA-S3, Mon. Weather Rev., 136, 3018–3034, https://doi.org/10.1175/2008MWR2433.1, 2008.
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