High-resolution ocean modelling at the MPI
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1 High-resolution ocean modelling at the MPI Jin-Song von Storch Hamburg CLIVAR WGOMD Workshop on High Resolution Ocean Climate Modelling, 7-9 April 2014, Kiel
2 Technical and organizational overview I The high-resolution ocean modelling activity at MPI was initiated by the German consortium project STORM, launched in cooperation with CliSAP of University Hamburg, DKRZ and other partners in Germany OGCM: MPIOM/TP6ML80 with a tripolar grid, 1/10 o (3600X2392 grid points), 80 levels - no GM, a staggered 2nd order TVD advection scheme for u,v, T and S, diffusion coefficient proportional to the local isophycnal diffusion and dependent of grid spacing, vertical mixing based on PP + turbulent mixing due to winds, a sea-ice model formulated using viscous-plastic rheology AGCM: ECAHM6 T255L95
3 Technical and organizational overview II Simulations performed: - an ocean-only run with MPIOM/TP6ML80 forced with 6 hourly NCEP/NCAR reanalysis-1 for the period an AMIP run with ECHAM6/T255L95 forced by the CMIP5 boundary conditions for the period Two runs coupled to ECHAM6/T255L95 (40 yrs, 60 yrs) starting from different initial conditions with hourly coupling - an ocean-only run with MPIOM/TP6ML40 forced by the lunisolar tidal potential and climatological winds and with SST and SSS restored to monthly climatology (in cooperation with Malte Müller) - a two months ocean-only run forced by the NCEP/NCAR reanalysis, but the 6 hourly winds are replaced by 5-day running averaged winds
4 Technical and organizational overview III Peculiarities for the 65-yr NCEP run: use a processoriented and dynamic output, rather than the standard uniform output - accumulate 3-dimensional second moments on-line and store on monthly basis - document the whole simulation by archiving all 3d prognostic variables, all 3d second moments, and some derived variables on monthly basis - document short-term variations using 3d hourly output for all prognostic variables for a period of 6 months and daily output at selected levels throughout the integration
5 Scientific issues I: The mechanical energy cycle of the ocean and the roles of meso-scale eddies and internal waves for the energy pathways - wind-induced near-inertial waves - internal tides - internal waves spontaneously generated by eddying flows
6 1/10o MPIOM simulation of meso-scale eddies and internal tides 1 log (u 2 + v 2 ) 2 1 ~ 30cm / s 100m ( log u M 2,bc ) 100m 1.6 ~ 2cm / s v '2 1 log (u '2 + v '2 ) 2 1 ~ 30cm / s von Storch et al m by Zhuhua Li
7 The Lorenz Energy Cycle MPIOM Ocean (von Storch et al. 2012) Atmos (ERA-40) (Li et al. 2007)
8 The Lorenz Energy Cycle MPIOM Ocean (von Storch et al. 2012) Atmos (ERA-40) (Li et al. 2007) an ocean without eddies an atmosphere without synoptic variability
9 The Lorenz Energy Cycle MPIOM Ocean (von Storch et al. 2012) Atmos (ERA-40) (Li et al. 2007)
10 The Lorenz Energy Cycle MPIOM Ocean (von Storch et al. 2012) Atmos (ERA-40) (Li et al. 2007) a global baroclinic pathway transferring of about 0.8 TW in the ocean significant conversion from K m to P m, so that the baroclinic pathway is fueled by winds rather than by differentially heating only as in the atmosphere
11 Scientific issues II: parameterization of meso-scale eddies: deterministic versus stochastic scheme The deterministic paradigm b t + F = q, F = vb = vb + ( vb) ' v b + v ' b ' resolved parameterized in form of a deterministic scheme
12 Eddy heat flux at 2038 m: typical magnitude of the fluctuating eddy forcing magnitude of the mean eddy forcing Li & von Storch, 2013
13 Eddy heat flux at 2038 m: fluctuating forcing is about one order of magnitude or more larger than the mean forcing typical magnitude of the fluctuating eddy forcing magnitude of the mean eddy forcing Li & von Storch, 2013
14 Scientific issues III: Impact of meso-scale eddies on the stability and sensitivity of AMOC - high-resolution coupled modelling needs to be further matured - a further increase in high-performance computing capacity is most welcome
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