Visualization of a                                     new generation of climate                                  simulati...
DKRZ – who we are   High Performance Computing Center   National Service Facility for Climate- and Earth System    Resea...
High Performance Computing• IBM "Power6“: 264 Nodes   • 8448 Cores   • 158 TeraFlops (sustained)   • System memory 20 TByt...
The Climate SystemMichael Böttinger, DKRZ                          4
Atmosphere Model   Conservation Laws (Momentum, Energy, Mass)   State Equations   Radiation   Boundary Conditions: i.e...
Atmosphere Models... approximate solution: finite differences method using a 3D-computational grid                  Michae...
Climate Models – Data Structures◦   Georefererenced data -> Mapping◦   Relatively coarse 3D grids, some quantities only 2D...
A coupled climate modelSun            Atmosphere          concentrations                                     (GHG, SO4)   ...
IPCC AR4 / CMIP3      Scenarios for    energy production,                                                              Emi...
Earth System Model                        Atmosphere                         Coupler                                      ...
Simulations for                                CMIP5 / IPCC AR5   Simulations performed by DKRZ 2010/2011   Earth System...
CMIP5 Experiments with MPI-ESM   Base experiments    ◦ e.g. the recent history historical 1850 to 2005.   Projections (S...
IPCC AR5 Simulations               Introduction: RCP ScenariosRCP = Representative Concentration Pathways     Michael Bött...
IPCC AR5 Simulations          Introduction: RCP ScenariosMichael Böttinger, DKRZ                                        14
IPCC AR5 Simulations       Projected Temperature ChangesMichael Böttinger, DKRZ                                        15
IPCC AR5 Simulations        Projected Temperature ChangesMichael Böttinger, DKRZ                                         16
Ensemble Mean Temperature Change relative to 1986-2005                 Michael Böttinger, DKRZ                            ...
Michael Böttinger, DKRZ                          18
Michael Böttinger, DKRZ                          19
Simulated Sea Ice Concentration for September (blue) and March (white)                          Michael Böttinger, DKRZ   ...
Michael Böttinger, DKRZ                          21
Simulated Sea Level Change (without possible contributions of land ice)                         Michael Böttinger, DKRZ   ...
Michael Böttinger, DKRZ                          23
Michael Böttinger, DKRZ                          24
Michael Böttinger, DKRZ                          25
Michael Böttinger, DKRZ                          26
Information and Data Access     Earth System Grid IS-ENES Data Accesshttp://www.dkrz.de/Klimaforschung/konsortial/ipp-ar5/...
Beyond IPCC AR5 simulations   STORM is a consortium effort aiming at multi-century climate    change integrations with a ...
1/10 Deg MPI-OMMichael Böttinger, DKRZ                                            29
Michael Böttinger, DKRZ                          30
Avizo GreenAvizo with domain specific extensions, i.e.   NetCDF CF-1.0 Reader    ◦ supports regular, rectilinear, rotated...
Status and Challenges   High visual quality of the resulting imagery   (relatively) easy to use.   DKRZ contributions t...
Merci!boettinger@dkrz.dehttp://www.dkrz.de              Michael Böttinger, DKRZ                                        33
Model Configurations   MPI-ESM LR: T63L47/GR15L40    ◦ Atmosphere: horizontally ~200 km, 47 height levels (up to 80 km   ...
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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)

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Visualization of a new generation of climate simulations with Avizo Green

  1. 1. Visualization of a new generation of climate simulations with Avizo GreenMichael BöttingerDeutschesKlimarechenzentrumGerman Climate Computing Center Michael Böttinger, DKRZ 1
  2. 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. 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. 4. The Climate SystemMichael Böttinger, DKRZ 4
  5. 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. 6. Atmosphere Models... approximate solution: finite differences method using a 3D-computational grid Michael Böttinger, DKRZ 6
  7. 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. 8. A coupled climate modelSun Atmosphere concentrations (GHG, SO4) Momentum Energy Land Surface Water Coupler Ocean Source: MPI-M Michael Böttinger, DKRZ 8
  9. 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. 10. Earth System Model Atmosphere Coupler Vegetation / LandOcean: Physics Biogeochem. Michael Böttinger, DKRZ 10
  11. 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. 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. 13. IPCC AR5 Simulations Introduction: RCP ScenariosRCP = Representative Concentration Pathways Michael Böttinger, DKRZ 13
  14. 14. IPCC AR5 Simulations Introduction: RCP ScenariosMichael Böttinger, DKRZ 14
  15. 15. IPCC AR5 Simulations Projected Temperature ChangesMichael Böttinger, DKRZ 15
  16. 16. IPCC AR5 Simulations Projected Temperature ChangesMichael Böttinger, DKRZ 16
  17. 17. Ensemble Mean Temperature Change relative to 1986-2005 Michael Böttinger, DKRZ 17
  18. 18. Michael Böttinger, DKRZ 18
  19. 19. Michael Böttinger, DKRZ 19
  20. 20. Simulated Sea Ice Concentration for September (blue) and March (white) Michael Böttinger, DKRZ 20
  21. 21. Michael Böttinger, DKRZ 21
  22. 22. Simulated Sea Level Change (without possible contributions of land ice) Michael Böttinger, DKRZ 22
  23. 23. Michael Böttinger, DKRZ 23
  24. 24. Michael Böttinger, DKRZ 24
  25. 25. Michael Böttinger, DKRZ 25
  26. 26. Michael Böttinger, DKRZ 26
  27. 27. Information and Data Access Earth System Grid IS-ENES Data Accesshttp://www.dkrz.de/Klimaforschung/konsortial/ipp-ar5/ Michael Böttinger, DKRZ 27
  28. 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. 29. 1/10 Deg MPI-OMMichael Böttinger, DKRZ 29
  30. 30. Michael Böttinger, DKRZ 30
  31. 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. 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. 33. Merci!boettinger@dkrz.dehttp://www.dkrz.de Michael Böttinger, DKRZ 33
  34. 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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