CCSM3

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CCSM3s IPCC Simulations and Lessons Learned

• Bill Collins
• http//www.cgd.ucar.edu/wcollins
• National Center for Atmospheric Research
• Boulder, Colorado

• IPCC Production and Data Transfer
• Scientific results from IPCC Simulations
• Lessons Learned

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Contributions from CCSM to IPCC
IPCC Emissions Scenarios
CCSM3 Simulations
IPCC 4th Assessment

• Results
• 10,000 simulated years
• Largest submission to IPCC
• 100 TB of model output

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The Experimental Configuration(from IPCC TAR)
A2
A1B
B1
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Production Schedule of IPCC Runs
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IPCC Ensembles on US Machines
http//www.cgd.ucar.edu/ccr/ipcc_status/
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US Simulations for IPCC FAR
Phase Run Ensemble Members Base Extensions Total Years
1 1870 1 440 Coverage of 1870-2300 870
2 20th C. 5 130 650
3 Constant 5 2000-2100 500
A1B 5 2000-2200 ?2300 (1 ) 1100
A2 5 2000-2100 500
B1 5 2000-2200 ?2300 (1 ) 1100
Controls 1990 1 500 500
1CO2 1 450 450
Total 5670
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Computational Resources for Simulations

• Execution speed 3.5 years/day on 192 IBM
  Power-4 CPUs
• Time required to simulate 5370 years5670 / 3.5
  1620 wall-clock days
• CPU time for 1 simulated year1146 CPU hours
• Equivalent number of CPU hours for IPCC
  runs5670 ? 1146 6.5 ? 106 CPU hours

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IPCC Ensembles on the Earth Simulator
http//www.cgd.ucar.edu/oce/weese/status/ccsm_data
.html
All data has been transferred to NCAR mass store.
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Statistics of the IPCC Ensembles

• Ensemble size
• 20th Century 8
• A1B Scenario 8
• B1 Scenario 8
• Commitment 8
• A2 Scenario 5
• Total integration 10,800 years
• Data volume 110 TB

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Resolutions for all Modeling Groups
Karl Taylor, PCMDI
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Model Simulations by all Groups
Karl Taylor, PCMDI
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Transfer of the Data to PCMDI

• First 1-TB disk transferred to PCMDI in October.
  Three Disks are now in use.
• CCSM IPCC data is now on the PCMDI IPCC website
  http//www-pcmdi.llnl.gov/
• Estimated scheduling of data transfers
• Details http//swiki.ucar.edu/cgd-ccr/48
• Sequence
• 20thC
• CAM monthly
• CAM daily/6hr
• CLM monthly
• Controls
• CAM monthly
• CAM daily/6hr
• CLM monthly
• Scenarios
• CAM monthly
• CLM monthly
• POP and CSIM monthly to follow.

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Papers on CCSM IPCC Scenario Runs

• Meehl et al, 2005 How much more global warming
  and sea level rise? In press, Science
• Meehl et al, 2005Climate change in the 20th and
  21st centuries andclimate change commitment in
  the CCSM3 Submitted to J. Climate
• Bryan et al, 2005Response of the North Atlantic
  Thermohaline Circulation and Ventilation to
  Increasing Carbon Dioxide in CCSM3 Submitted to
  J. Climate
• Kyosei Consortium, 2005Analysis of CO2
  overshoot experiments

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Global Temperature and Sea Level
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Ocean Temperature and Overturning
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Increases in Surface Temperature
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Increases in Precipitation
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Arctic Sea Ice Concentrations
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Changes in Sea Ice Coverage
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Lesson 1 Experimental Design Plan

• Contents goals of the experiments
• Description of all forcing agents vs. time
• Description of pre-industrial spin-up
• Pre-industrial configuration tuned for energy
  balance?
• Simulation for year 2000 integrated backwards to
  19th C.?
• Experimental basis for pre-industrial spin-up
• Description and plan for CCSM resource
  requirements
• CCSM software engineering support
• Development efforts by working groups and WG
  liaisons
• Plan and timeline for dissemination of
  experiments
• Distribution within the CCSM community
• Distribution to wider climate community

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Lesson 2 Development of Forcings
Forcing 20th Century 21st-23rd Century
Greenhouse Gases Observed SRES
Ozone Trop MOZART Strat Solomon TropMOZART scaled by O3 TAR forcing Strat Solomon
Sulfate Aerosols SO2 Smith/Wigley SO2 SRES
Carbon Aerosols Population Scaling SO2 Scaling
Sea-salt Dust Year 2000 values Year 2000 values
Volcanic Aerosols Ammann (2003) Year 2000 values
Solar Variation Lean (1995) Year 2000 values
Indirect Effects None None
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Aerosol Optical Depths during 20th C.
Sulfates
Black Organic Carbon
Strat. Volcanics
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Present-day Aerosol Optical Depths
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Comparison of CCSM3 and Global Surface
Temperatures

• Eight-member ensemble
• T85 atmosphere land
• 1-degree ocean sea-ice

Meehl et al, 2004
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Recommendations on Forcings

• Coordination with other groups
• For example, Bouchers shared SO4 data set
• Efforts for AR4 to develop common forcings
• Develop components of state-of-art forcings
• Emissions as functions of space and time
• Chemical transport framework to simulate agents
• Parameterization development for indirect effects
• Exploration of indirect forcings, for example
• Effects of irrigation
• Effects of land-use change

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Lesson 3 Design of Model Spin-up
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Effects of Energy Balance on Ocean Temperature
in 1870 Control
Trend ?0.17 K/Century
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Lesson 4 (Ideally) Start Early

• Sequential, not concurrent, mile-stones
• Release of CCSM3 to the community
• Peer-reviewed documentation of CCSM3
• Execution of IPCC experiments
• We did all of these in 2004!

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Lesson 5 Check Throughput of Data Transfer
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Lesson 6 Plan for all End Users

• Issue CCSM output 100 TB
• This is orders of magnitude more data than our
  colleagues in IPCC WG2 and WG3 are used to
  analyzing.
• How do we make the data accessible usable?
• Recommendations for steps forward
• NCARs GIS tool for model output?