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Institute for Meteorology and Climate Research (IMK)

Institute for Meteorology and Climate Research (IMK). Fundamental research on climate, water cycle and trace substances Turbulence, Convection, Cloud formation, Aerosol physics, Precipitation formation, Exchange processes on Earth’s surface Aerosols, Trace Gases and Climate Processes

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Institute for Meteorology and Climate Research (IMK)

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  1. Institute for Meteorology and Climate Research (IMK) Fundamental research on climate, water cycle and trace substances Turbulence, Convection, Cloud formation, Aerosol physics, Precipitation formation, Exchange processes on Earth’s surface Aerosols, Trace Gases and Climate Processes (head of group: B. Vogel) Representation of aerosols and gas phase chemistry on the regional scale (model system COSMO-ART) Particular interest on the interaction of aerosols and clouds in the atmospheric system

  2. COSMO–ART(ART = Aerosols and Reactive Trace Gases) Ext. Parameters = operational weather forecast model (DWD) Vogel et al., 2009, ACP

  3. Aerosol cloud interaction Feedback processes realized in COSMO-ART

  4. Future Applications: Decadal forecasts of the regional climate of Europe Interaction of natural and anthropogenic aerosols with climate Model runs with CCLM-ART (= climate version of COSMO-ART) Computational demand: Based on AIX (16 processors) without speed-up of COSMO-ART: 10 year model run = 112 CPU years 10-20 scenario runs Transported 3-D variables ~60 (gases) + ~ 80 (aerosols) 250x250x40 gridpoints (future applications due to increased resolution ~factor 4)

  5. Profiling test case Run of 24 h initialized at 22nd June 2007 at 00:00 UTC 193x113x40 grid points, dt=40s, resolution of 0.25° Machine: IBM AIX cluster at KIT 2 nodes with 8 cores each Profiling done with Scalasca

  6. Total run time: 268.4 CPU hours (2 nodes x 8 cores) cradm2 (31,48%) ISOROPIA (14,72%) ART org (22,72%)

  7. Further Metrics Important imbalance of the code Large need of communications due to more than 150 additional 3D prognotstic fields

  8. Way forward Model chemistry and physics: Use KPP chemical solver (GPU “version”) Use a simplified version of ISOROPIA Call chemistry and aerosols not at every time-step Try to reduce waiting time for anthropogenic emissions ( call only every 6 hours) Numerics: Code is partly vectorized -> Compiler options for non-vectorized code Lump messages together, to reduce number of communications (but increase their size) Optimize utility routines (unit conversion, string comparision)

  9. Parallel Visualization parallel visualization of output data Visualization -Cluster Data-Server convert *.grb into *.vts generate animated gif out of visualized states HPC-system Desktop-PC analyze forecast

  10. Visualization Temperature+Rain

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