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PUMA and Planet Simulator Installation Graphics Model setup Climate Richard Blender Москва June 18, 2010

PUMA and Planet Simulator Installation Graphics Model setup Climate Richard Blender Москва June 18, 2010. PUMA and Planet Simulator (PlaSim). Installation Model Starter Graphical User Interface PUMA design Planet Simulator design and climate. PUMA and Planet Simulator: Credits.

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PUMA and Planet Simulator Installation Graphics Model setup Climate Richard Blender Москва June 18, 2010

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  1. PUMA and Planet SimulatorInstallation GraphicsModel setupClimateRichard BlenderМосква June 18, 2010

  2. PUMA and Planet Simulator (PlaSim) • Installation • Model Starter Graphical User Interface • PUMA design • Planet Simulator design and climate

  3. PUMA and Planet Simulator: Credits Frank Lunkeit Edilbert Kirk Thomas Frisius Klaus Fraedrich Torben Kunz, Simon Blessing, Silke Schubert Kerstin Haberkorn, Hartmut Borth Email addresses: 1st.2nd@zmaw.de, e.kirk@gmx.de

  4. PUMA and Planet Simulator: Model Design Model Environment for geophysical fluid dynamics and climate simulations Earth, Mars and Titan Modular, Parallel, Portable Fortran90, MPI Data compatible  GRIB, NetCDF, ECHAM Documentation Users's Guide, Reference Manual, Commented Fortran 90 source code Graphics Interactive Graphical User Interface Open source

  5. Model Starter most

  6. PUMA and Planet Simulator: Package Installation See also the file README Most version 16 soon available

  7. PUMA and Planet Simulator: Installed directories and files

  8. PUMA and Planet Simulator: directories Time steps PUMA PlaSim T21 60 45 min T42 30 15 Restart In directory /run (im /puma or /plasim) Asks for file puma_restart Create by cp puma_status puma_restart Boundary conditions e.g. SST in PlaSim, altered in version 16, using codes Directory /run File surface.txt (12 months, annual cycle)

  9. GUI Start GUI: >most.x Specify parameters

  10. Model starter Most, Graphical user interface Graphical User Interface GUI PUMA Change parameters and output windows interactively DISP Noise amplitude DTEP Temp diff Equator - Pole DTNS Temp diff North - South Global means Select visible windows impacts CPU time

  11. PUMA and Planet Simulator Graphical User Interface GUI Planet Simulator amplitudes CO2 concentration [ppmv] GSOL0 solar const [W/m2] DAWN zenith angle threshold speed

  12. PUMA and Planet Simulator: Run long term simulations Preparation using GUI Simulation

  13. PUMA and Planet Simulator: Postprocessing, the ´Pumaburner´

  14. PUMA and Planet Simulator: Pumaburner options (v5 available)

  15. PUMA Portable University Model of the Atmosphere Primitive equation GCM with diabatic forcing

  16. PUMA: History PUMA is based on the multi-level spectral model SGCM (Simple Global Circulation Model) described by Hoskins and Simmons (1975) and James and Gray (1986). B. J. Hoskins and A. J. Simmons. A multi-layer spectral model and the semi-implicit method. Quart. J. Roy. Meteor. Soc., 101:637–655, 1975.

  17. Major extensions in PUMA Portable FORTRAN-90 Parallelization MPI-library (Message Passing Interface library) to run PUMA on parallel machines. PUMA is fully parallelized, as many CPU’s as latitudes (e.g. 32 in T21 resolution). Graphics Xlib (X11R6) library needed for the graphical user interface Truncation The truncation scheme is standard triangular truncation, compatible to other T-models like ECHAM. Data data compatible to ECHAM/Afterburner

  18. PUMA and PlaSim-Atmosphere (also PUMA-II) Hydrostatic primitive equations Spectral, triangular truncation, n = 21, 31, 42, 85, 127, 170, … Standard T21, T42, ..., higher resolutions tested σ coordinates, N = 5, 10 levels Integration Vorticity: leap frog, Robert Asselin filter Divergence: Semi-implicit (SGCM Hoskins and Simmons, 1975)

  19. PUMA: Forcing by Restoration temperature Diabatic heating with restoration temperature (‘Newtonian cooling’)

  20. Restoration temperature (standard setup) meridional gradient decreases with height and vanishes at the tropopause Restoration temperature (°C) standard parameters: (ΔTR)EP = 70 K (ΔTR)NS = 0 K

  21. Friction and Hyperdiffusion Linear drag (Rayleigh friction) in vorticity and divergence τlevel dependent Hyperdiffusion for a spectral mode γ

  22. Scaling

  23. Vertical Discretization (σ) N = 5, 10, 20, ... levels

  24. PUMA: validation of the dynamical core (Johan Liakka)

  25. Planet Simulator ‘Earth System Model’ including atmosphere, ocean, and land Atmosphere based on PUMA (‘PUMA-II’) Some parameterizations are of intermediate complexity

  26. Planet Simulator: Parameterizations Surface fluxes bulk formulas drag and transfer coefficents Richardson number

  27. Planet Simulator: Diffusion Differences compared to PUMA Vertical diffusion Horizontal diffusion (n^2 diffusion above threshold)

  28. Planet Simulator: Radiation Short wave radiation Clear sky (Lacis and Hansen, 1974) Rayleigh scattering, ozone absorption, water vapor absorption, absorption and scattering by aerosols (dust and cloud droplets) Clouds cloud liquid water path Long wave radiation Clear sky (Manabe and Möller, 1961) Water vapor, carbon dioxide and ozone Clouds Gray bodies - or cloud flux emissivity from cloud liquid water content Vertical discretization: Chou et al. (2002) Additional Newtonian cooling Possible to correct uppermost level

  29. Planet Simulator: Precipitation and Clouds Cumulus convection: Kuo-type convection scheme Large scale precipitation for supersaturation At the surface a distinction between rain and snow fall Cloud cover and cloud liquid water content: diagnostic, Slingo and Slingo (1991) Dry convective adjustment (for dry adiabatically unstable layers)

  30. Planet Simulator: land surface and soil Soil Temperature N = 5 layers Δz = (0.4 m, 0.8 m, 1.6 m, 3.2 m, 6.4 m). Hydrology single-layer bucket model river transport Land surface Albedo, Roughness length glacier mask for permanent ice sheets Evaporation efficiency Biome model optional

  31. Planet Simulator: Ocean Observed SST (AMIP) Mixed layer ocean (Kraus, 1967; Dommenget and Latif, 2000) LSG (Large scale geostrophic, Meier Reimer) Sea ice model (thermodynamic), Semtner (1976)

  32. Planet Simulator: Vegetation model Biome model SIMBA Includes vegetation impact on land surface parameters Two carbon pools: fast representing leaf area slow: woody biomass Vegetation cover By surface temperature, soil moisture, and maximum LAI (2…6) Impacts on albedo, roughness length, latent heat flux

  33. Planet Simulator: Climate report Frank Lunkeit Edilbert Kirk Klaus Fraedrich Kerstin Haberkorn Frank Sielmann Andrea Schneidereit

  34. Planet Simulator: Zonally averaged zonal wind and air temperature [m/s], [°C]

  35. Planet Simulator: Mean sea level pressure [hPa]

  36. Planet Simulator: precipitation [mm/season]

  37. PUMA and Planet Simulator Applications and References

  38. PUMA and Planet Simulator: Design and validation Fraedrich, K., H. Jansen, E. Kirk, U. Luksch, F. Lunkeit, 2005: The Planet Simulator: Towards a user friendly model. - Meteorol. Z. 14, 299-304. Kirk, E., K. Fraedrich, F. Lunkeit, and C. Ulmen, 2009: The Planet Simulator: A coupled system of climate modules with real time visualization, CSPR report, Linköping universitet, 45, Art. 7 Liakka, J., 2006: Validation of the dynamical core of the Portable University Model of the Atmosphere (PUMA) Blessing, S., R. J. Greatbatch, K. Fraedrich, and F. Lunkeit, 2008: Interpreting the atmospheric circulation trend during the last half of the 20th century: Application of an adjoint model. Journal of Climate, 21, 4629-4646 Frisius, T., K. Fraedrich, W. Wang, and X. Zhu, 2009: A spectral barotropic model of the wind-driven world ocean. Ocean Modelling, 30, 310-322

  39. PUMA and Planet Simulator: Dynamical systems analysis Seiffert, R., R. Blender, and K. Fraedrich, 2006: Subscale forcing in a global atmospheric circulation model and stochastic parameterisation. Quart. J. Roy. Meteorol. Soc., 132, 1627-1654 Pèrez-Munuzuri, V., R. Deza, K. Fraedrich, T. Kunz, and F. Lunkeit, 2005: Coherence resonance in an atmospheric global circulation model. Phys. Rev. E, 71, 065602(1-4) Lunkeit, F, 2001: Synchronisation experiments with an atmospheric global circulation model. Chaos, 11, 47-51. Guerrieri, A., 2009: Estimate of the largest Lyapunov characteristic exponent of a high dimensional atmospheric global circulation model. A sensitivity analysis. ENEA - Clima Globale - Unità Simulazioni Atmosferiche Centro Ricerche Casaccia, Roma

  40. PUMA and Planet Simulator: Climate Lucarini, V., K. Fraedrich, and F. Lunkeit, 2010: Thermodynamic analysis of snowball earth hysteresis experiment: efficiency, entropy production, and irreversibility. Q. J. R. Meterol. Soc., 136, 2-11 Walter, K., U. Luksch, and K. Fraedrich, 2001: A response climatology of idealised midlatitude SST anomaly experiments with and without stormtrack. J. Climate, 14, 467-484 Lunkeit, F., K. Fraedrich, and S.E. Bauer, 1998: Storm tracks in a warmer climate: Sensitivity studies with a simplified global circulation model. Climate Dynamics, 13, 813-826 Fraedrich, K., H. Jansen, E. Kirk, and F. Lunkeit, 2005b: The Planet Simulator: Green planet and desert world. Meteorol. Zeitschrift, 14, 305-314. Grieger, B., Segschneider, J. H. U. Keller, A. Rhodin, F. Lunkeit, E. Kirk, and K. Fraedrich, 2004: Simulating Titan's tropospheric circulation with the portable university model of the atmosphere. Advances in Space Research, 34, 1650-1654 Stenzel, O., B. Grieger, H. U. Keller, R. Greve, K. Fraedrich, and F. Lunkeit, 2007: Coupling Planet Simulator Mars, a general circulation model of the Martian atmosphere, to the ice sheet model SICOPOLIS. Planetary and Space Science, 55, 2087-2096

  41. PUMA and Planet Simulator: Processes von Hardenberg, J., K. Fraedrich, F. Lunkeit, and A. Provenzale, 2000: Transient chaotic mixing during a baroclinic life cycle. Chaos, 10, 122-134 Kunz, T., K. Fraedrich, and F. Lunkeit, 2009: Response of idealized baroclinic wave life cycles to stratospheric flow conditions. J. Atmos. Sci., 66, 2288-2302 Kunz, T., K. Fraedrich, and E. Kirk, 2008: Optimisation of simplified GCMs using circulation indices and maximum entropy production. Climate Dynamics, 30, 803-813. Müller, W., R. Blender, and K. Fraedrich, 2002: Low frequency variability in idealised GCM experiments with circumpolar and localised storm tracks. Nonlinear Processes Geophys., 9, 37-49 Franzke, C., K. Fraedrich, and F. Lunkeit, 2001: Teleconnections and low frequency variability in idealized experiments with two storm tracks. Q. J. R. Meteorol. Soc., 127, 1321-1339

  42. Thank you * Cпасибо * Danke

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