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.

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. 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
Science Goals
•
Assessment and prediction
– IPCC, national assessments (alarmist
fearmongering)
– Energy policy (Dick Cheney’s private sessions)
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Regional climate prediction
– High resolution, downscaling, water!
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Atmospheric chemistry/ocean
biogeochemistry
– Carbon cycle
– Aerosols
Project Goals
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Software
– Performance portability
– Software engineering (repositories,
standardized testing – No Code Left Behind
initiative)
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Model Development
– Better algorithms
– New physical processes (esp. chemistry,
biogeochemistry)
Coupler Architecture
Issues:
•sequencing
•frequency
•distribution
•parallelism
•single or multiple
executables
•stand 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
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Sized for vector/cache
Load balanced distribution of blocks/chunks
Hybrid MPI/OpenMP
Land elimination
Performance modeling w/PERC
Performance
Regional Prediction
Kentucky
Oklahoma State
Mississipi State
Stanford
Atmosphere/Land
Subgrid Orography Scheme
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Reproduces
orographic
signature without
increasing dynamic
resolution
Realisitic
precipitation,
snowcover, runoff
Month of March
simulated with
CCSM
Eddy-Resolving Ocean
Obs
2 deg
0.28 deg
0.1 deg
Greenhouse Gases
• Energy production
• Bovine flatulence
• Presidential campaigning
•Source-based scenarios
Aerosol Uncertainty
Atmospheric Chemistry
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Gas-phase chemistry with emissions, deposition, transport and photochemical reactions for 89 species.
Experiments performed with 4x5 degree Fvcore – ozone concentration at
800hPa for selected stations (ppmv)
Mechanism development with IMPACT
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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
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LANL Ecosystem Model
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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
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Starley Thompson LLNL, David Erickson ORNL (PCM-IBIS)
C-cycle code completed, tested coupled to relevant GCM
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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
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Gordan Bonan NCAR (CCSM2-LPJ derivative - see Bonan et al. 2003. GBC
11:1543-1566)
Joerg Kaduk Stanford (CCM? Or UCLA-SiB2)
Robert Dickinson Georgia Tech (CCSM?-CLM enhanced)
C-cycle code under development
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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
DecadalCent.
Priority
Carbon
Dynamics
GPP
Respiration
Allocation
Decomposition
Nitrogen dynamics
Trop Ozone effect s
Temp. acclimation
CO2 acclimation
Diffuse solar effec ts
YES
YES
YES
YES
YES
YES
Accept CAM chemistry package from SciDAC (July 2004)
 Meet with NCAR BGC working group to mesh science plans of this project to those of
the NCAR BGC working group (July 2004)
 Perform additional CAM/FV vectorization enabling chemistry/sulfur simulations on the
X1 (Oct 2004)
Accept CCSM3/IBIS model from LLNL LDRD (Oct 2004)
 Implement sulfur chemistry in CAM ozone photochemistry package (Oct 2004)
 Enable ocean produced DMS emissions to be processes through coupler and into CAM
atmospheric physics/chemistry package (Oct 2004)
DecadalCent.
Priority
Vegetation
Dynamics
DisturbanceYES
recovery
Biogeography
Land use/land cover YES
change
Hydrological
Effects
Consistent w/ LSM
Growth
Forest Mortality
YES
Decomposition
ET
Wetlands-trace gases
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