Impact of uncertainties in the horizontal density gradient upon low resolution global ocean modelling

Ocean Modelling

Volumn 66, Issue , 2013, Pages 64-76

  Brankart, Jean Michel ^a  

^a UNIV GRENOBLE ALPES   (France)

Author keywords

Equation of state; Global ocean model; Model uncertainties; Stochastic parameterization

Indexed keywords

EQUATION OF STATE; GEOGRAPHICAL POSITIONS; GLOBAL OCEAN MODEL; LARGE-SCALE CIRCULATION; MESOSCALE ACTIVITY; MODEL UNCERTAINTIES; SALINITY FLUCTUATION; STOCHASTIC EFFECTS;

COMPUTER SIMULATION; EQUATIONS OF STATE; OCEAN CURRENTS; RANDOM PROCESSES; SALINITY MEASUREMENT; SEAWATER EFFECTS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

UNCERTAINTY ANALYSIS;

EQUATION OF STATE; GLOBAL OCEAN; MODELING; PARAMETERIZATION; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 84876388433     PISSN: 14635003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocemod.2013.02.004     Document Type: Article

References (31)

1. Barnier B., Madec G., Penduff T., Molines J., Tréguier A., Beckmann A., Biastoch A., Boning C., Dengg J., Gulev S., Le Sommer J., Rémy E., Talandier C., Theetten S., Maltrud M., Mc Lean J. Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy permitting resolution. Ocean Dyn. 2006, 56(5-6):543-567.
2. Berloff P.S. On rectification of randomly forced flows. J. Marine Res. 2005, 63(3):497-527.
3. Berner, J., Jung, T., Palmer, N., in press. Systematic model error: the impact of increased horizontal resolution versus improved stochastic and deterministic parameterizations, J. Climate. doi:10.1175/JCLI-D-11-00297.1.
4. Blanke B., Delecluse P. Low frequency variability of the tropical atlantic ocean simulated by a general circulation model with mixed layer physics. J. Phys. Oceanograph. 1993, 23:1363-1388.
5. Bryan K., Lewis J. A water mass model of the global ocean. J. Geophys. Res. 1979, 84(C5):2503-2517.
6. Buizza R., Miller M., Palmer T.N. Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Quater. J. Royal Meteorol. Soc. 1999, 125:2887-2908.
7. Emile-Geay J., Madec G. Geothermal heating, diapycnal mixing and the abyssal circulation. Ocean Sci. 2009, 5:281-325.
8. Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 1994, 99(C5):10143-10162.
9. Ferry N., Parent L., Garric G., Barnier B., Jourdain N. The Mercator ocean team, Mercator global eddy permitting ocean reanalysis GLORYS1V1: description and results. Mercator Ocean Newslett. 2010, 36:15-27.
10. Frederiksen J., O'Kane T., Zidikheri M. Stochastic subgrid parameterizations for atmospheric and oceanic flows. Phys. Scripta 2012, 85:068202. 10.1088/0031-8949/85/06/068202.
11. Griffies S.M., Böning C., Bryan F., Chassignet E.P., Gerdes R., Hasumi H., Hirst A., Treguier A.-M., Webb D. Developments in ocean climate modelling. Ocean Modell. 2000, 2(3-4):123-192.
12. Jackett D.R., McDougall T.J. Minimal adjustment of hydrographic data to achieve static stability. J. Atmos. Oceanic Technol. 1995, 12:381-389.
13. Kazantsev E., Sommeria J., Verron J. Subgrid-scale eddy parameterization by statistical mechanics in a barotropic ocean model. J. Phys. Oceanograph. 1998, 28:1017-1042.
14. Klocker A., McDougall T.J. Influence of the nonlinear equation of state on global estimates of dianeutral advection and diffusion. J. Phys. Oceanograph. 2010, 40:1690-1709.
15. Large W., Yeager S. The global climatology of an interannually varying air-sea flux data set. Climate Dyn. 2009, 33:341-364.
16. Levitus, S. et al., 1998. World ocean database 1998, Atlas NESDIS 18, NOAA.
17. Madec, G., 2008. The NEMO team, NEMO ocean engine, Note du Pôle de modélisation 27. Institut Pierre-Simon Laplace (IPSL), France, ISSN 1288-1619.
18. Madec G., Imbard M. A global ocean mesh to overcome the north pole singularity. Climate Dyn. 1996, 12:381-388.
19. McDougall T.J., McIntosh P.C. The temporal-residual-mean velocity. Part I: Derivation and the scalar conservation equations. J. Phys. Oceanograph. 1996, 26:2653-2665.
20. McDougall T.J., McIntosh P.C. The temporal-residual-mean velocity. Part II: Isopycnal interpretation and the tracer and momentum equations. J. Phys. Oceanograph. 2001, 31:1222-1246.
21. Palmer T. Towards the probabilistic Earth-system simulator: a vision for the future of climate and weather prediction. Q. J. R. Meteorol. Soc. 2012, 138:841-861.
22. Palmer T., Shutts G., Hagedorn R., Doblas-Reyes F., Jung T., Leutbecher M. Representing model uncertainty in weather and climate prediction. Annu. Rev. Earth Planet. Sci. 2005, 33:163-193.
23. Penduff T., Juza M., Brodeau L., Smith G., Barnier B., Molines T.A.-M., Madec J.-M., G. Impact of global ocean model resolution on sea-level variability with emphasis on interannual time scales. Ocean Sci. 2010, 6:269-284.
24. Rio M., Hernandez F. A mean dynamic topography computed over the world ocean from altimetry, in situ measurements, and a geoid model. J. Geophys. Res. 2004, 109:C12032. 10.1029/2003JC002226.
25. Roullet G., Madec G. Salt conservation, free surface, and varying levels: a new formulation for ocean general circulation models. J. Geophys. Res. 2000, 105:23927-23942.
26. The DRAKKAR Group, 2007. Eddy-permitting ocean circulation hindcasts of past decades. CLIVAR Exchang. 42 12 (3), 8-10.
27. UNESCO, 1983. Algorithms for computation of fundamental property of sea water, Techn. Paper Mar. Sci. 44 UNESCO.
28. Van Kampen N.G. Stochastic Processes in Physics and Chemistry 2007, Elsevier, p. 463.
29. Williams P.D. Climatic impacts of stochastic fluctuations in air-sea fluxes. Geophys. Res. Lett. 2012, 39:L10705. 10.1029/2012GL051813.
30. Zhai X., Greatbatch R.J., Sheng J. Diagnosing the role of eddies in driving the circulation of the northwest Atlantic Ocean. Geophys. Res. Lett. 2004, 31:1-4.
31. Zidikheri M., Frederiksen J. Stochastic modelling of unresolved eddy fluxes. Geophys. Astrophys. Fluid Dyn. 2010, 104:323-348.