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Ocean Science An interactive open-access journal of the European Geosciences Union
Ocean Sci., 6, 269-284, 2010
https://doi.org/10.5194/os-6-269-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
25 Feb 2010
Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales
T. Penduff2,1, M. Juza1, L. Brodeau1, G. C. Smith3,*, B. Barnier1, J.-M. Molines1, A.-M. Treguier4, and G. Madec3,5 1Laboratoire des Écoulements Géophysiques et Industriels, UMR 5519, CNRS and Université de Grenoble, BP 53, 38041, Grenoble, France
2Department of Oceanography, The Florida State University, Tallahassee, USA
3National Oceanography Centre, Southampton, UK
4Laboratoire de Physique des Océans, UMR 6523, CNRS, IFREMER and UBO, 29280 Plouzané, France
5Laboratoire d'Océanographie et du Climat: Expérimentations et Approches Numériques, UMR 7159, CNRS, IPSL, and UPMC, 75252 Paris, France
*now at: Northwest Atlantic Fisheries Centre, Fisheries and Ocean Canada, St John's, Canada
Abstract. Four global ocean/sea-ice simulations driven by the same realistic 47-year daily atmospheric forcing were performed by the DRAKKAR group at 2°, 1°, ½°, and ¼° resolutions. Simulated mean sea-surface heights (MSSH) and sea-level anomalies (SLA) are collocated over the period 1993–2004 onto the AVISO dataset. MSSH fields are compared with an inverse estimate. SLA datasets are filtered and compared over various time and space scales with AVISO regarding three characteristics: SLA standard deviations, spatial correlations between SLA variability maps, and temporal correlations between observed and simulated band-passed filtered local SLA timeseries. Beyond the 2°−1° transition whose benefits are moderate, further increases in resolution and associated changes in subgrid scale parameterizations simultaneously induce (i) strong increases in SLA standard deviations, (ii) strong improvements in the spatial distribution of SLA variability, and (iii) slight decreases in temporal correlations between observed and simulation SLA timeseries. These 3 effects are not only clear on mesoscale (14–180 days) and quasi-annual (5–18 months) fluctuations, but also on the slower (interannual), large-scale variability ultimately involved in ocean-atmosphere coupled processes. Most SLA characteristics are monotonically affected by successive resolution increases, but irregularly and with a strong dependance on frequency and latitude. Benefits of enhanced resolution are greatest in the 1°−½° and ½°−¼° transitions, in the 14–180 day range, and within eddy-active mid- and high-latitude regions. In the real ocean, most eddy-active areas are characterized by a strong SLA variability at all timescales considered here; this localized, broad-banded temporal variability is only captured at ¼° resolution.

Citation: Penduff, T., Juza, M., Brodeau, L., Smith, G. C., Barnier, B., Molines, J.-M., Treguier, A.-M., and Madec, G.: Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales, Ocean Sci., 6, 269-284, https://doi.org/10.5194/os-6-269-2010, 2010.
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