COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC) Hereinafter referred to as the CCSM Consortium.

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Presentation transcript:

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

The SciDAC CCSM Consortium consists of PI: R. Malone 4, J. Drake 5, Site-Contacts: C. Ding 2, S. Ghan 6, D. Rotman 3, J. Taylor 1, J. Kiehl 7, W. Washington 7, S.-J. Lin 8, Co-Is: J. Baumgardner 4, T. Bettge 7, L. Buja 7, S. Chu 4, T. Craig 7, P. Duffy 3, J. Dukowicz 4, S. Elliot 4, D. Erickson 5, M. Ham 5, Y. He 2, F. Hoffman 5, E. Hunke 4, R. Jacob 1, P. Jones 4, J. Larson 1, J. Lamarque 7, W. Lipscomb 4, M. Maltrud 4, D. McKenna 7, A. Mirin 3, W. Putman 8, W. Sawyer 8, J. Schramm 7, T. Shippert 6, R. Smith 4, P. Worley 5, W. Yang 2 1 Argonne National Lab, 2 Lawrence Berkeley National Lab, 3 Lawrence Livermore National Lab, 4 Los Alamos National Lab, 5 Oak Ridge National Lab, 6 Pacific Northwest National Lab, 7 National Center for Atmospheric Research, 8 NASA-Goddard Space Flight Center

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

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)

Coupler Architecture Issues: sequencingsequencing frequencyfrequency distributiondistribution parallelismparallelism single or multiplesingle or multiple executables executables stand alone executionstand alone execution Version 1.0 Released November 2002 MPH3 (multi-processor handshaking) library for coupling component models CPL6 -- Implemented, Tested, Deployed ESMF/CCA

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

Performance

Regional Prediction Mississipi State Stanford Kentucky Oklahoma State

Atmosphere/Land

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

Eddy-Resolving Ocean 0.1 deg0.28 deg Obs2 deg

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

Aerosol Uncertainty

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

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)

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

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.

Potential U.S. Participants Runs completed Starley Thompson LLNL, David Erickson ORNL (PCM-IBIS) C-cycle code completed, tested coupled to relevant GCM Inez Fung, Scott Doney UC Berkeley (CCSM1-OCMIP2-CASA derivative) Fung, Hoffman, Doney, Lindsay (CCSM3-CLM3-CASA’ )? C-cycle code completed, run off-line completed Gordan Bonan NCAR (CCSM2-LPJ derivative - see Bonan et al GBC 11: ) Joerg Kaduk Stanford (CCM? Or UCLA-SiB2) Robert Dickinson Georgia Tech (CCSM?-CLM enhanced) C-cycle code under development Peter Thornton NCAR (CCSM3-Biome-BGC derivative) Erickson, Post, King, Gu ORNL (PCM-IBIS-GTEC loose coupling) [acclimation, moisture profile, diffuse radiation effects on veg] Ocean POP - OBGCM LANL (CCSM3-POP) DOE Deliverables: aerosol chemistry-carbon coupled model (CCSM3-IBIS)

Extensions for Carbon Cycle Where we would like to be Accurate regional modeling of carbon sources and sinks Coupling of biogeochemical processes for climate variability on decadal to century time scales