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Performance of a Semi-Implicit, Semi-Lagrangian Dynamical Core for High Resolution NWP over Complex Terrain. L.Bonaventura D.Cesari. Outline of discretization approach. Semi-implicit, semi-lagrangian two time level discretization (2d tests: Bonaventura JCP 2000)
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Performance of a Semi-Implicit, Semi-Lagrangian Dynamical Corefor High Resolution NWP over Complex Terrain L.BonaventuraD.Cesari
Outline of discretization approach • Semi-implicit, semi-lagrangian two time level discretization (2d tests: Bonaventura JCP 2000) • Finite volume approach for the divergence • Weakly nonlinear system Ax+f(x)=b, symmetric and well-conditioned for any orography • 2nd order in time, 4th order in space SL advection scheme • Improved interpolation at the boundary for SL advection (joint work with G.Rosatti, University of Trento)
2D Gallus-Klemp lee wave test case Vorticity=O(10e-4)
Setup of tests for comparison of numerical efficiency • 180*180*40 =O(1.3e+6) gridpoints • dx=2 km, dz=300 m, dt=40 s • Some 1000 m high mountains • A -8 K temperature anomaly (coldbubble) on top of each mountain • IBM SP4 of CINECA (48 nodes with 16 CPUs each, 1.5 Ghz for each CPU) • native xlf90 compiler and all standard optimizations switched on • Comparison against LokalModell of DWD
Comparison with terrain following semi-implicit LM • Difficulty of a fair comparison (different stopping criteria and implementation details) • Slower convergence of iterative solver for terrain following semi-implicit
Conclusions • Semi-implicit, semi-lagrangian method using finite volume discretization of the divergence and improved lower boundary condition • Gain in efficiency over terrain following coordinates, good parallel performance
Development plans • Further testing (Boulder storm, Scania test) • ARPA-SMR: development of a full SI-SL NWP model in the framework of the COSMO consortium adapting the LokalModell physics • MPI:test tube for numerical methods to be used in ICON, the new global nonhydrostatic dynamical core