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COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

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Title: COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


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 Cheneys 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
Once
hour
6 States 6 Fluxes
7 States 9 Fluxes
4 States 3 Fluxes
6 States 13 Fluxes
day
Once
per
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 (gt2500yrs)
_at_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
Mississipi State
Kentucky
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
0.1 deg
0.28 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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