Evaluation of a near-global eddy-resolving ocean model

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),...

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Bibliographic Details
Published in:Geoscientific Model Development
Main Authors: Oke, PR, Griffin, DA, Schiller, A, Matear, R, Fiedler, R, Mansbridge, J, Lenton, A, Cahill, M, Chamberlain, MA, Ridgway, K
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2013
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Online Access:https://doi.org/10.5194/gmd-6-591-2013
http://ecite.utas.edu.au/119508
Description
Summary: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 chlorophyll a 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 chlorophyll a, 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 Nĩno-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.