Regional Ocean Modelling in Southern Africa Sea Surface Temperature [ o C] Acknowledgements: N. Chang, UCT; L. Debreu, IMAG; P. Florenchie, BCLME; J. Lefevre,

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Regional Ocean Modelling in Southern Africa Sea Surface Temperature [ o C] Acknowledgements: N. Chang, UCT; L. Debreu, IMAG; P. Florenchie, BCLME; J. Lefevre, IRD; J.R.E. Lutjeharms, UCT; E. Machu, IRD; P. Marchesiello, IRD; F. Shillington, UCT, J. Veitch, UCT.

1 - Some modelling tools used at IRD (Institut de Recherche pour le Developpement) ROMS_AGRIF: ROMS with embedding ROMSTOOLS: A Series of Tools for the Pre- and Post-processing of Oceanic Regional ROMS Simulations. 2 - SAfE (Southern Africa Experiments) Climatology experiment (Process studies) Inter-annual experiment Nested models. Regional Ocean Modelling in Southern Africa

ROMS_AGRIF: Embedding capabilities "from the large scale to the coastal applications" ROMS_AGRIF: - Arbitrary number of embedded grids. - Parent/child exchanges during run time. - OpenMP/MPI compliant. - Enforcement of mass conservation in agreement with ROMS time stepping. - Biology. - 2way nesting in progress. After Penven, P., L. Debreu, P. Marchesiello and J.C. McWilliams, Application of the ROMS embedding procedure for the Central California Upwelling System, 2006, Ocean Modelling, 12,

ROMS_TOOLS: A toolbox for ROMS pre- and post-processing Goal: to simplify the design and analysis of ROMS model configurations

An observation: Similarities for the choices in different ROMS applications. Possibility to use a systematic approach Strategy: Global datasets: etopo2, WOA2001, TPX06, DASILVA Climatology ROMS input netcdf files: roms_grd.nc, roms_frc.nc, roms_blk.nc, roms_ini.nc, roms_clm.nc, roms_bry.nc ROMS_AGRIF ROMS output netcdf files: roms_his.nc, roms_avg.nc ROMS_GUI Visualization Diagnostic tools Analysis OPENDAP servers: NCEP, GFS, ECCO, SODA ROMSTOOLS

roms_gui: visualization.

Inter-annual simulations ~/Roms_tools/Run/run_roms_inter.csh make_OGCM.m, make_NCEP.m Use of OPENDAP to get automatically the necessary data over the web (OGCMs: ECCO, SODA, surface forcing: NCEP). Real-time coastal system ~/Roms_tools/Run/run_roms_forecast.csh make_forecast.m Hypothesis: Large scale: slow. On the shelf: winds

Real Time ROMS Ocean Simulations in the Southern Benguela Model grid: 1/9 degree resolution (i.e. 10 km); 72 X 94 X 32 grid points. Lateral boundary conditions: ECCO. Surface forcing: GFS. One model run every day: 1 day hindcast + 8 days forecast.

2 - SAfE (Southern Africa Experiments) image source: J. Lutjeharms, Upwelling Agulhas Current Benguela upwelling system: influence of the Agulhas Current ? Agulhas Current: - Velocities up to 2 m.s Sverdrups. - Sources: South-Western Indian Ocean. image source: J. Lutjeharms, 2006.

SAfE strategy: - Parent model which resolves both the Agulhas (from its sources to the spawning of Agulhas Rings) and the Benguela. - Coastal zooms depending on the scientific interest. Large region: intermediate resolution (20-25 km) for the parent model. easy to test new ideas or parameters

¼ o resolution (i.e km) 244 X 192 X 32 grid points Bottom topography: GEBCO Boundary conditions (climatology run): WOA 2001 Surface forcing (climatology run): COADS SAfE parent configuration

SAfE AVISO Annual mean SSH [cm]: RMS SSH [cm]: Upstream of the Agulhas Retroflection: - spurious recirculation. - spurious high level of variability. AVISO SAfE Problem: High variability upstream of the Agulhas Retroflection.

Surface layer eddy kinetic energy [log (m 2 /s 2 )] (adapted from Wallcraft et al., 2002). NLOM: Global layered ocean model at 1/32°resolution (Wallcraft et al., 2003). Wallcraft, A. J., Hurlburt, H. E., Rhodes, R. C. and J. F. Shriver, 1/32 o global ocean modeling and prediction, Intern. report, Wallcraft, A. J., Kara, A. B., Hurlburt, H. E. and P. A. Rochford, The NRL Layered Global Ocean Model(NLOM) with an embedded mixed layer submodel: formulation and tuning, J. Atmos. Ocean. Tech., 2003, 20, /16° NLOM ( ) 1/32° NLOM ( ) Topex/Poseidon ( )

POP: Global z-coordinate ocean model at 1/10°resolution (Maltrud and McClean, 2005). Maltrud, M. E. and J. L. McClean, An eddy resolving 1/10 o ocean simulation, Ocean Modelling, 2005, 8, Surface height variability [cm] (adapted from Maltrud and McClean, 2005). 1/10° POP ( ) 0.28° POP ( ) TOPEX/ERS ( )

OFES: Global z-coordinate ocean model at 1/10°resolution (Sasaki et al., 2005). Figures adapted from Sasaki et al., Sasaki, H., Komori, N., Takahashi, K., Masumoto, Y. and H. Sakuma, Fifty years Time-integration of Global Eddy-resolving Simulation, Intern. Report, RMS SSH [cm] (years )mean SSH [cm] Snapshot of sea surface height [cm] and velocity vectors at 100m.

RMS sea surface elevation [cm]: SAfE – Smagorinsky (a=0.1) SAfE– Smagorinsky (a=0.05) SAfE – Smagorinsky (a=0.025) SAfE – Smagorinsky (a=0.0125) SAfE AVISO Smoother topography + Parametrisation of shear induced horizontal turbulent mixing (Smagorinski, 1963): New SAfE simulations

Final SAfE climatology experiment: Penven, P., J. Lutjeharms and P. Florenchie, Madagascar: a pacemaker for the Agulhas Current system ? Geophys. Res. Lett., 2006, 33, L17609, doi: /2006GL

image source: J. Lutjeharms, SAfE annual mean transport (1500m - surface)

Madagascar: a pacemaker for the Agulhas Current System ? Penven, P., J. Lutjeharms and P. Florenchie, Madagascar: a pacemaker for the Agulhas Current system ? Geophys. Res. Lett., 2006, 33, L17609, doi: /2006GL

SAfE Inter-annual simulation Boundary conditions: SODA (Carton et al., 2005) Surface forcing: NCEP/NCAR (bulk formula). Time period: (+ 2 years spin-up). SST [ o C] in St Helena Bay [33 o S-31 o S; 17 o E-19 o E]: 1 - Annual mean: SAfE ~ SODA: 17.4 o C (0.5 higher than OI-SST). 2 - Seasonal cycle: SAfE: winter warm bias (no summer bias). 3 - Non seasonal anomalies: RMS(OI-SST - SODA) = 0.56 o C RMS(OI-SST - SAfE) = 0.45 o C Correlation Coefficients: OI-SST/SODA: 0.62; OI-SST/SAfE: Annual anomalies: RMS(OI-SST - SODA) = 0.29 o C RMS(OI-SST - SAfE) = 0.2 o C Correlation Coefficients: OI-SST/SODA: 0.61; OI-SST/SAfE: 0.65 SODA SAfE OI-SST Without data assimilation, in the Benguela, SAfE perform at least as well as SODA.

Nested model for the Agulhas Bank (N. Chang, UCT PhD student) Zoom in SAfE. Resolution: 1/12 o (i.e. ~ 8 km). Analysis of the dynamics of the cool ridge, the seasonal cycle, the effects of the wind.

Nested model for the West Coast (J. Veitch, UCT PhD student) Zoom in SAfE. Resolution: 1/12 o (i.e. ~ 8 km). Comparisons between the South Benguela (seasonal upwelling) and the North Benguela (perennial upwelling).

Biological application (collaboration with V. Kone & E. Machu, IRD)

Conclusion ROMS: Generic and robust regional oceanic model. ROMSTOOLS: Systematic approach. Climatological, long term inter-annual and quasi real time applications. SAfE: Spurious recirculation upstream of the Agulhas Retroflection. Role of Madagascar. Dynamics of the cool ridge. Dynamics of the Benguela upwelling system. Applications to fisheries.