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Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts

The CCSM Consortium led by Phil Jones at LANL is focused on advancing climate science through software development, model enhancement, and performance optimization. With a diverse team and advanced technology, they aim to address climate change challenges and improve climate predictions.

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Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts

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  1. COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC) Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts

  2. The SciDAC CCSM Consortium consists of PI: R. Malone4, J. Drake5 , Site-Contacts: C. Ding2, S. Ghan6, D. Rotman3, J. Taylor1, J. Kiehl7, W. Washington7, S.-J. Lin8, Co-Is: J. Baumgardner4, T. Bettge7, L. Buja7, S. Chu4, T. Craig7, P. Duffy3, J. Dukowicz4, S. Elliot4, D. Erickson5, M. Ham5, Y. He2, F. Hoffman5, E. Hunke4, R. Jacob1, P. Jones4, J. Larson1, J. Lamarque7, W. Lipscomb4, M. Maltrud4, D. McKenna7, A. Mirin3, W. Putman8, W. Sawyer8, J. Schramm7, T. Shippert6, R. Smith4, P. Worley5, W. Yang2 1Argonne National Lab, 2Lawrence Berkeley National Lab, 3Lawrence Livermore National Lab, 4Los Alamos National Lab, 5Oak Ridge National Lab, 6Pacific Northwest National Lab, 7National Center for Atmospheric Research, 8NASA-Goddard Space Flight Center

  3. Climate System

  4. Climate Change

  5. Science Goals • Assessment and prediction • IPCC, national assessments (alarmist fearmongering) • Energy policy (Dick Cheney’s private sessions) • Regional climate prediction • High resolution, downscaling, water! • Atmospheric chemistry/ocean biogeochemistry • Carbon cycle • Aerosols

  6. Project Goals • Software • Performance portability • Software engineering (repositories, standardized testing – No Code Left Behind initiative) • Model Development • Better algorithms • New physical processes (esp. chemistry, biogeochemistry)

  7. Community Climate System Model Land LSM/CLM Atmosphere CAM NSF/DOE 270 Participants 7 States 10 Fluxes 6 States 6 Fluxes Once hour per per Flux Coupler hour Once 6 States 6 Fluxes 7 States 9 Fluxes 4 States 3 Fluxes 6 States 13 Fluxes day per Once per Once hour 6 Fluxes 11 States 10 Fluxes Ocean POP Ice CICE/CSIM

  8. Coupler Architecture • Issues: • sequencing • frequency • distribution • parallelism • single or multiple • executables • stand alone execution • MPH3 (multi-processor handshaking) library for coupling component models • CPL6 -- Implemented, Tested, Deployed • ESMF/CCA Version 1.0 Released November 2002

  9. Prediction and Assessment Many century-scale simulations (>2500yrs) @~5yrs/day Cycle vampires: Many dedicated cycles at computer centers

  10. Performance Portability • Vectorization • POP easy (forefront of retro fashion) • CAM, CICE, CLM • Blocked/chunked decomposition • Sized for vector/cache • Load balanced distribution of blocks/chunks • Hybrid MPI/OpenMP • Land elimination • Performance modeling w/PERC

  11. Performance

  12. Rapid Climate Change

  13. THC Crisis Center

  14. Polar and THC

  15. HYPOP • Arbitrary Lagrangian-Eulerian vertical coordinate • Keep Lagrangian in deep ocean • Remap to z-coordinate in mixed layer • CSU SciDAC • New time stepping/mode splitting • Progress • Model currently working in z-coord mode • Examining vertical grid generators • Testing

  16. CICE • Incremental Remapping for Sea Ice and Ocean Transport • Incremental remapping scheme that proved to be three times faster than MPDATA, total model speedup of about 30% --added to CCSM/CSIM • CICE3.0 restructered for vector Community Sea Ice Model • Sensitivity analysis and parameter tuning test of the CICE code • Automatic Differentiation (AD)-generated derivative code

  17. Regional Prediction Kentucky Mississipi State Oklahoma State Stanford

  18. Atmosphere/Land

  19. Resolution and Precipitation (DJF) precipitation in the California region in 5 simulations, plus observations. The 5 simulations are: CCM3 at T42 (300 km), CCM3 at T85 (150 km) , CCM3 at T170 (75 km), CCM3 at T239 (50 km), and CAM2 with FV dycore at 0.4 x 0.5 deg. CCM3 extreme precipitation events depend on model resolution. Here we are using as a measure of extreme precipitation events the 99th percentile daily precipitation amount. Increasing resolution helps the CCM3 reproduce this measure of extreme daily precipitation events.

  20. Subgrid Orography Scheme • Reproduces orographic signature without increasing dynamic resolution • Realisitic precipitation, snowcover, runoff • Month of March simulated with CCSM

  21. Eddy-Resolving Ocean Obs 2 deg 0.28 deg 0.1 deg

  22. Greenhouse Gases • Energy production • Bovine flatulence • Presidential campaigning • Source-based scenarios

  23. Aerosol Uncertainty

  24. Atmospheric Chemistry • Gas-phase chemistry with emissions, deposition, transport and photo-chemical reactions for 89 species. • Experiments performed with 4x5 degree Fvcore – ozone concentration at 800hPa for selected stations (ppmv) • Mechanism development with IMPACT • A)    Small mechanism (TS4), using the ozone field it generates for photolysis rates. • B)     Small mechanism (TS4), using an ozone climatology for photolysis rates. • C)    Full mechanism (TS2), using the ozone field it generates for photolysis rates. Zonal mean Ozone, Ratio A/C Zonal mean Ozone, Ratio B/C

  25. Ocean Biogeochemistry • LANL Ecosystem Model • nutrients (nitrate, ammonium, iron, silicate) • phytoplankton (small, diatom, coccolithophores) • zooplankton • bacteria, dissolved organic material, detritus • dissolved inorganic carbon (DIC), alkalinity • trace gases (dimethyl sulfide, carbonyl sulfide, methyl halides and nonmethane hydrocarbons) • elemental cyclings (C,N,Fe,Si,S)

  26. Ocean Biogeochemistry • Iron Enrichment in the Parallel Ocean Program • Surface chlorophyll distributions in POP • for 1996 La Niña and 1997 El Niño

  27. Global DMS Flux from the Ocean using POP The global flux of DMS from the ocean to the atmosphere is shown as an annual mean. The globally integrated flux of DMS from the ocean to the atmosphere is 23.8 Tg S yr-1 .

  28. Things not mentioned… • Software engineering • Other model improvements • fvcore work • land model (river transport, biogeochem, etc.) • Ocean grid/topography generator • Parallel I/O work • ESG • Now how much would you pay? You also get…

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