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Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
Visualization of a new generation of climate simulations with Avizo Green
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Visualization of a new generation of climate simulations with Avizo Green

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By Michael Böttinger (DKRZ - Deutsches Klimarechenzentrum, German Climate Computing Center)

By Michael Böttinger (DKRZ - Deutsches Klimarechenzentrum, German Climate Computing Center)

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  • 1. Visualization of a new generation of climate simulations with Avizo GreenMichael BöttingerDeutschesKlimarechenzentrumGerman Climate Computing Center Michael Böttinger, DKRZ 1
  • 2. DKRZ – who we are High Performance Computing Center National Service Facility for Climate- and Earth System Research Limited (non for profit) Company (Shareholder: MPG: 53%, University HH: 27%, AWI: 10%, HZG: 10%) Michael Böttinger, DKRZ 2
  • 3. High Performance Computing• IBM "Power6“: 264 Nodes • 8448 Cores • 158 TeraFlops (sustained) • System memory 20 TByte• Infiniband Interconnect (4xDDR)• 6 PByte GPFS file system• Optimized for Climate Modeling• >100 PByte Archive Capacity Top500 (06/2009): Rank 27 Top500 (09/2011): Rank 98 Michael Böttinger, DKRZ 3
  • 4. The Climate SystemMichael Böttinger, DKRZ 4
  • 5. Atmosphere Model Conservation Laws (Momentum, Energy, Mass) State Equations Radiation Boundary Conditions: i.e. Earth Geometry, Astronomical Parameters, Distribution of Land and Sea Differential Equations Michael Böttinger, DKRZ 5
  • 6. Atmosphere Models... approximate solution: finite differences method using a 3D-computational grid Michael Böttinger, DKRZ 6
  • 7. Climate Models – Data Structures◦ Georefererenced data -> Mapping◦ Relatively coarse 3D grids, some quantities only 2D◦ Grids: rectilinear, curvilinear, rotated, irregular …◦ Multivariate / scalar and vector fields◦ Special values◦ Time axis: very long time series◦ Coupled models: distinct grids◦ Multi run experiments (ensembles) Michael Böttinger, DKRZ
  • 8. A coupled climate modelSun Atmosphere concentrations (GHG, SO4) Momentum Energy Land Surface Water Coupler Ocean Source: MPI-M Michael Böttinger, DKRZ 8
  • 9. IPCC AR4 / CMIP3 Scenarios for energy production, Emission scenarios land use, etc. for CO2 and other gases/aeros. Carbon Cycle Model Change in the concentration of CO2 and other? gases/aeros. Climate Model Climate change (Temperature, Precipitation,…) Michael Böttinger, DKRZ                                           9
  • 10. Earth System Model Atmosphere Coupler Vegetation / LandOcean: Physics Biogeochem. Michael Böttinger, DKRZ 10
  • 11. Simulations for CMIP5 / IPCC AR5 Simulations performed by DKRZ 2010/2011 Earth System Model MPI-ESM: land biosphere, ocean- biogeochemistry (developed by MPI-M) Computational demand: factor 60 compared to IPCC AR4 13 000 simulated model years Results: 650 TB raw data, 60 TB in ESG Michael Böttinger, DKRZ 11
  • 12. CMIP5 Experiments with MPI-ESM Base experiments ◦ e.g. the recent history historical 1850 to 2005. Projections (Scenarios) ◦ 2005 to 2100, and 2005 to 2300, 3 different scenarios Decadal climate forecasts Role of the carbon cycle with respect to climate change Long history ◦ e.g. the time 850 to 1850 or the last glacial maximum Michael Böttinger, DKRZ 12
  • 13. IPCC AR5 Simulations Introduction: RCP ScenariosRCP = Representative Concentration Pathways Michael Böttinger, DKRZ 13
  • 14. IPCC AR5 Simulations Introduction: RCP ScenariosMichael Böttinger, DKRZ 14
  • 15. IPCC AR5 Simulations Projected Temperature ChangesMichael Böttinger, DKRZ 15
  • 16. IPCC AR5 Simulations Projected Temperature ChangesMichael Böttinger, DKRZ 16
  • 17. Ensemble Mean Temperature Change relative to 1986-2005 Michael Böttinger, DKRZ 17
  • 18. Michael Böttinger, DKRZ 18
  • 19. Michael Böttinger, DKRZ 19
  • 20. Simulated Sea Ice Concentration for September (blue) and March (white) Michael Böttinger, DKRZ 20
  • 21. Michael Böttinger, DKRZ 21
  • 22. Simulated Sea Level Change (without possible contributions of land ice) Michael Böttinger, DKRZ 22
  • 23. Michael Böttinger, DKRZ 23
  • 24. Michael Böttinger, DKRZ 24
  • 25. Michael Böttinger, DKRZ 25
  • 26. Michael Böttinger, DKRZ 26
  • 27. Information and Data Access Earth System Grid IS-ENES Data Accesshttp://www.dkrz.de/Klimaforschung/konsortial/ipp-ar5/ Michael Böttinger, DKRZ 27
  • 28. Beyond IPCC AR5 simulations STORM is a consortium effort aiming at multi-century climate change integrations with a high resolution climate model Michael Böttinger, DKRZ 28
  • 29. 1/10 Deg MPI-OMMichael Böttinger, DKRZ 29
  • 30. Michael Böttinger, DKRZ 30
  • 31. Avizo GreenAvizo with domain specific extensions, i.e. NetCDF CF-1.0 Reader ◦ supports regular, rectilinear, rotated, curvilinear and irregular grids ◦ Long time series: streaming for time dependent data ◦ Caching in memory Map Projections ◦ Cylindric Equidistant, Spherical, Mollweide etc. „Earth“ Module ◦ Textures, LOD techniques ◦ Topography / Bathymetry ◦ Continental and political Outlines HW-based Bump Shading for 2D Slices Vector Vis Methods Volume Rendering for rectilinear grids Michael Böttinger, DKRZ
  • 32. Status and Challenges High visual quality of the resulting imagery (relatively) easy to use. DKRZ contributions to Avizo Green: ◦ Avizo Green Tutorial (see http://www.dkrz.de/Nutzerportal- en/doku/halo/sw/avizo/avizo) ◦ Enhanced modules, i.e. DKRZ-Earth, BumpSliceDOI (under development) Next generation climate model: unstructured grid -> developed for DKRZ, now included in Avizo7 (funded by DKRZ and MPI-M) More stability needed Scalability: Performance problems with large grids Michael Böttinger, DKRZ 32
  • 33. Merci!boettinger@dkrz.dehttp://www.dkrz.de Michael Böttinger, DKRZ 33
  • 34. Model Configurations MPI-ESM LR: T63L47/GR15L40 ◦ Atmosphere: horizontally ~200 km, 47 height levels (up to 80 km height) ◦ Ocean: variable resolution between 12 and 150 km, 40 depth levels MPI-ESM MR: T63L95/TP04L40 ◦ Atmosphere: horizontally ~200 km, 95 height levels (up to 80 km height) ◦ Ocean: variable resolution at 0.4° (~40 km), 40 depth levels Michael Böttinger, DKRZ 34

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