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Transcript
The “Pangaea” Simulator -- An Decision-MakerOriented International Climate Simulator
Drew Jones
Sustainability Institute
Working with Ventana Systems
and MIT System Dynamics Group
September 2008
QuickTime™ and a
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are needed to see this picture.
Simulation Creation Team
• Lead Modeler
– Dr. Tom Fiddaman, Ventana Systems
• http://www.metasd.com/index.html
• Modeling, Framing, and Presentation Design
– Andrew Jones, Sustainability Institute
• http://www.sustainabilityinstitute.org/
• [email protected]
– Dr. Lori Siegel, contractor to SI
• Modeling and Framing
– Dr. John Sterman, MIT
• http://web.mit.edu/jsterman/www/
QuickTime™ and a
decompressor
are needed to see this picture.
“Climate Interactive” is a growing coalition of
business, academic, & nonprofit organizations
QuickTime™ and a
decompressor
are needed to see this picture.
Creating a portfolio of fast, accessible, robust, transparent
simulations to help address climate change
Climate Interactive Senior Team Members
Dr. John Sterman, MIT Sloan School of Management
Director, System Dynamics Group
Author, Business Dynamics: Systems Thinking and
Modeling for a Complex World
Dr. Peter Senge, MIT
Senior Lecturer, Sloan School of Management
Founding Chairman, Society for Organizational Learning
Author, The Fifth Discipline
Dr. Michelle Erickson, Citigroup
Director, Sustainable Information Technology Program
Dr. Bill Moomaw, The Fletcher School, Tufts University
Director of the Center for International Environment & Resource Policy
Lead author, Intergovernmental Panel on Climate Change 2003 (IPCC)
Purpose of Simulator is to Help Decision Makers
Understand Dynamics of Climate Mitigation
Inputs
Outputs
• Fossil fuel emissions by
countries or “economy
group”
• Land use emissions
• Additional sequestration
from aforestation
• Other greenhouse gas
emissions
• CO2 in the atmosphere
• Global temperature
• Total emissions
• Total removals to oceans,
biomass etc.
• Sea level rise
Regional FF Emissions
6B
4.5 B
750
600
3B
And Developing Major
Economies
1.5 B
ppm
TonsC/year
CO2 concentration in the atmosphere
Emissions from
Developed Major
Economies
450
One goal
And Non-Major
Economies
0
2007
2023
2038
2054
2069
Time (year)
2085
2100
300
2000
CO2 in the
atmosphere
2020
2040
2060
2080
2100
Simulator Helps Users Conduct Customized Tests:
(all graphs fossil fuel
What If…..?
emissions)
Regional FF Emissions
Business as usual
4.5 B
TonsC/year
TonsC/year
7.5 B
5B
All reduced 80%
by 2050?
Or by 2030?
4.5 B
3B
3B
1.5 B
2.5 B
0
2007
6B
6B
TonsC/year
10 B
Regional FF Emissions
Regional FF Emissions
1.5 B
2023
2038
2054
2069
Time (year)
2085
0
2007
2100
0
2007
2023
2038
2054
2069
Time (year)
2085
2023
2038
2100
Regional FF Emissions
2054
2069
Time (year)
2085
2100
Regional FF Emissions
Regional FF Emissions
6B
6B
6B
Some by 2030
and others 2060?
1.5 B
4.5 B
TonsC/year
3B
Starting in 2018?
4.5 B
TonsC/year
TonsC/year
4.5 B
3B
Developed acts
but undeveloped
doesn’t?
3B
1.5 B
1.5 B
0
2007
2023
2038
2054
2069
Time (year)
2085
2100
0
2007
2023
2038
2054
2069
Time (year)
2085
2100
0
2007
2023
2038
2054
2069
Time (year)
2085
2100
What Would Be the Effect on CO2 Concentrations
in the Atmosphere Over Time?
CO2 in the Atmosphere
1,000
ppm
825
650
475
300
2000
2020
2040
ppm CO2 in Atmosphere : cap at 95 emissions
ppm CO2 in Atmosphere : all 80% by 2050 plus seq
ppm CO2 in Atmosphere : base
ppm CO2 in Atmosphere : mostly developed
Goal for CO2 in the atmosphere : cap at 95 emissions
2060
2080
2100
What Would Total Emissions Looks Like, Divided
by Economy Group, since 1900?
FF Emissions by Country Group
(fossil fuel emissions)
8B
TonsC/year
6B
4B
2B
Developed MEs
0
1900
1930
1960
1990
2020
Time (year)
Developed ME CO2 FF emissions : all 80% by 2050 plus seq
Developing ME CO2 FF emissions : all 80% by 2050 plus seq
Non ME CO2 FF emissions : all 80% by 2050 plus seq
2050
2080
How About for Specific Countries?
(fossil fuel emissions)
Regional Emissions by country/region
6B
4.5 B
tonsC/year
India
China
Japan
3B
Russia
EU
1.5 B
US
0
1900
Historical
Historical
Historical
Historical
Historical
Historical
and forecast
and forecast
and forecast
and forecast
and forecast
and forecast
1920
national
national
national
national
national
national
1940
CO2 FF
CO2 FF
CO2 FF
CO2 FF
CO2 FF
CO2 FF
1960
1980
2000
2020
emissions[US] : all 80% by 2050 plus seq
emissions[EU] : all 80% by 2050 plus seq
emissions[Russia] : all 80% by 2050 plus seq
emissions[Japan] : all 80% by 2050 plus seq
emissions[China] : all 80% by 2050 plus seq
emissions[India] : all 80% by 2050 plus seq
2040
2060
2080
2100
Or Cumulative Fossil Fuel Emissions?
Cumulative Emissions by country/region
Fraction of Global Cumulative Emissions by country/region
400 B
0.3
300 B
tonsC
0.4
0.2
India
China
Japan
Russia
200 B
EU
0.1
100 B
US
0
1990
National
National
National
National
National
National
2010
fraction of accumulated world FF
fraction of accumulated world FF
fraction of accumulated world FF
fraction of accumulated world FF
fraction of accumulated world FF
fraction of accumulated world FF
2030
2050
2070
CO2 emissions[US] : all 80% by 2050 plus seq
CO2 emissions[EU] : all 80% by 2050 plus seq
CO2 emissions[Russia] : all 80% by 2050 plus seq
CO2 emissions[Japan] : all 80% by 2050 plus seq
CO2 emissions[China] : all 80% by 2050 plus seq
CO2 emissions[India] : all 80% by 2050 plus seq
2090
0
2000
Accumulated national
Accumulated national
Accumulated national
Accumulated national
Accumulated national
Accumulated national
2015
FF
FF
FF
FF
FF
FF
2030
2045
CO2[US] : all 80% by 2050 plus seq
CO2[EU] : all 80% by 2050 plus seq
CO2[Russia] : all 80% by 2050 plus seq
CO2[Japan] : all 80% by 2050 plus seq
CO2[China] : all 80% by 2050 plus seq
CO2[India] : all 80% by 2050 plus seq
2060
2075
2090
Or Global Temperature?
Global Temperature Increase
3
2.5
DegreesC
2
1.5
1
0.5
0
1980
2000
2020
2040
Relative Temperature : all 80% by 2050 plus seq
Relative Temperature : cap at 95 emissions
Relative Temperature : base
Relative Temperature : mostly developed
Goal for Temperature : all 80% by 2050 plus seq
2060
2080
2100
What If We Boost Removals With Sequestration
Through Aforestation?
CO2 in the Atmosphere
Sources of Total Removals
800
700
4.475 B
oceans
2.95 B
seq.
1.425 B
600
ppm
TonC/year
6B
500
-100 M
1900
biomass
1930
1960
1990 2020
Time (year)
2050
2080
Goal
400
300
2000
2020
2040
2060
2080
Results with 80% reduction in fossil fuel emissions
plus 1.6 GTC/year in additional sequestration by 2050
2100
Users Move Sliders to Select “What If”
Experiments Using the Prototype Control Panel
QuickTime™ and a
decompressor
are needed to see this picture.
Historical Fit Results
Temperature -- Model vs Data
900 B
1
800 B
0.625
DegreesC
TonC
CO2 vs Data
700 B
-0.125
600 B
500 B
1740
0.25
1770
1800
1830
1860 1890
Time (year)
CO2 in Atmosphere : all 80% by 2050 plus seq
Mauna Loa CO2 TonC : all 80% by 2050 plus seq
Siple Ice CO2 TonC : all 80% by 2050 plus seq
1920
1950
1980
2010
-0.5
1850 1870 1890 1910 1930 1950 1970 1990
Time (year)
Modeled Temperature
Hadley data
JWW data
Angell data
Exploring Implications of Uncertainty in
Parameters Through Sensitivity Testing
Temperature Uncertainty
5
4
DegreesC
3
2
1
0
1900
1940
1980
2020
Time (year)
2060
2100
Overview of Model Structure
Specific country
emissions
Specific country
emissions
Specific country
emissions
Developing
major
economies
Developed
major
economies
Non
major
economies
Changes to:
Aforestation
Deforestation
Other
GHGs
Total fossil
fuel CO2
emissions
Carbon
cycle
Land use
CO2 emissions
CO2
Sequestration
Forests
Climate
GHGs
in atm
Temp
The
CoreCarbon
of theCycle
Carbon
Simplified
Sector Cycle Sector
CO2 in
Humus
Flux Biomass to Humus
Flux Humus to Atmosphere
CO2 in
Flux Biomass to AtmosphereBiomass
CO2 in
Atmosphere
Flux Atm to Biomass
<CO2
Emissions>
Flux Atm to Ocean
CO2 in
Mixed Layer
(7 layers)
Diffusion Flux
CO2 in Deep
Ocean
(7 layers)
The Core of the Climate Sector
Climate Sensitivity
Climate Feedback Param
Feedback Cooling
CO2 Radiative Forcing
Other Forcings
Relative Atmosphere
and Upper Ocean
Temperature
Temp Diff
Relative Deep
Ocean Temp
CFC Forcing
Heat in
Atmosphere
and Upper
Ocean
Radiative Forcing
Heat Transfer
Heat in Deep
Ocean
CH4 and N2O
RF input
We Use Metaphors to Help Explain Model Behavior:
Think of CO2 in the Atmosphere as a Bathtub
Emissions
CO2 in the atmosphere
The tub is filled by
emissions and drained
by net removals into
oceans and biomass.
The inflow is roughly
double the outflow
Net Removals
The “flat path” caps emissions above
removals. More is still flowing into the bathtub
than is flowing out. So the level of water in the
bathtub continues to rise.
For Example: 80% Reduction Brings Emissions
Down to Meet Removals
Total Emissions and Removals
24 B
Emissions
CO2 in the
atmosphere
TonC/year
18 B
12 B
Emissions
6B
0
2000
Net Removals
2020
2040
2060
2080
2100
So levels of CO2 in the atmosphere
stabilize.
Net Removals
Our Simulator Use Philosophy
• Runs fast for high-iteration model testing
– Model simulates 500 years in less than .1 second
– Allows for practical analysis in areas such as uncertainty, tradeoffs, optimization, and robustness
• Hands-on use by policy-makers
– Simulators designed to be used easily on a laptop by nonmodelers
• Transparency
– We share model equations
– No black box models
• Understanding causes of dynamics
– We take the time to ensure users understand why the model is
doing what it is doing. We don’t say, “because the model says
so”.
Simulator to Benefit From and
Supplement Other Models
• Pangaea uses data, structure and insights from
other, larger, more disaggregated and detailed
models
– EG, the Integrated Assessment Models (IAMs)
• Nations model generates internally consistent
scenarios that could be tested and refined and
verified in larger models
• Our purpose is to create a small model and
make it useful to policy setting and learning
about complex dynamics
Sources of Structure and Data
Carbon Cycle and
Temperature
Bolin, B. 1986.
Fiddaman. T.S. 1997.
Nordhaus, W. D. 1992, 1994, 2000
Goudriaan, J. and P. Ketner. 1984.
Oeschger, H., U. Siegenthaler, et al. 1975.
Rotmans, J. 1990.
Schwartz, S.E. 2007.
Schneider, S.H., and S.L. Thompson. 1981.
Socolow, R.H. And S.H. Lam. 2007.
Wullschleger, S. D., W. M. Post, et al. 1995.
Sea Level Rise
Rahmstorf, S. 2007.
Sources of Historical Data
Historical FF CO2
Carbon Dioxide Information Analysis Center.
http://cdiac.ornl.gov/ftp/ndp030/CSV-FILES/
Historical
Population
Carbon Dioxide Information Analysis Center.
Calculated by dividing FF emissions by FF emissions per
capita
Historical GDP
Department of Energy’s Energy Information Administration.
http://www.eia.doe.gov/pub/international/iealf/tableh1cco2.xls.
Historical CO2
atmospheric
concentrations
Mauna Loa – National Oceanic & Atmospheric Administration
http://www.esrl.noaa.gov/gmd/ccgg/trends/
Siple Ice - Carbon Dioxide Information Analysis Center. 1994.
Historical CO2 Record from the Siple Station Ice Core
http://cdiac.ESD.ORNL.GOV/trends/co2/siple.htm
Historical
Temperature
Changes
HADCRUT3, Hadley Centre of the UK Met Office. National
Climatic Data Center, NCDC.
CFC Forcing
Goddard Institute for Space Studies (GISS).
http://data.giss.nasa.gov/modelforce/ghgases/
Other Forcings
GISS. http://data.giss.nasa.gov/modelforce/
Sources of Projected Data
Projected FF CO2
emissions,
atmospheric
concentrations, and
temperature
BAU:
US MiniCAM EMF Standard Reference
Europe AIM96 Standard Reference
China MiniCAM EMF Standard Reference
India MERGE 3.0 Ref
World MiniCAM EMF14 Standard Reference
World CETA EMF14 Standard Reference
World AIM EMF14 Standard Reference
World ASF SRES A1 Scenario
Reduction:
World MiniCAM EMF14 Accelerated Technology
World CETA EMF14 Accelerated Technology
Projected N2O and
CH4 atmospheric
concentrations
IPCC Third Assessment Report. 2001. Chapter 6.
Radiative Forcing of Climate Change. P.358.
We Have Calibrated Our Future Global Fossil
Fuel Emissions to Track MiniCAM Most Closely
Global Fossil Fuel Emissions
40 B
tonsC/year
30 B
20 B
10 B
0
1990
2010
2030
World CO2 FF emissions : BAU
MiniCAM EMF14 Standard Reference
CETA EMF14 Standard Reference
AIM96 Standard Standard Reference
ASF SRES A1 Data
2050
Time (year)
2070
2090
We Have Calibrated Our Country-Level Fossil Fuel
Emissions to Track MiniCAM, AIM, and MERGE
EU Emissions Calibration
4B
4B
3B
3B
tonsC/year
tonsC/year
US Emissions Calibration
2B
1B
2B
1B
0
1990
2010
2030 2050 2070
Time (year)
0
1990
2090
CO2 FF emissions[US] : BAU
USA MiniCAM EMF Stnd Ref
US Emissions AIM EMF16 Mod Ref
2090
India Emissions Calibration
8B
4B
6B
3B
tonsC/year
tonsC/year
2030 2050 2070
Time (year)
CO2 FF emissions[EU] : BAU
EU Emissions AIM EMF16 Mod Ref
China Emissions Calibration
4B
2B
0
1990
2010
2B
1B
2010
2030 2050 2070
Time (year)
CO2 FF emissions[China] : BAU
China MiniCAM EMF Stnd Ref
China AIM96 Standard Scenario
2090
0
1990
2010
2030 2050 2070
Time (year)
CO2 FF emissions[India] : BAU
India MERGE3 Ref
2090
We Compared Our Model’s Business as Usual
Scenario for CO2 Concentrations to Other Models
IPCC CO2 Atm Conc Models vs Nations Model
1,000
ppm
750
500
250
0
1990
2000
2010
2020
ppm CO2 in Atmosphere : BAU
MiniCAM Stnd Ref
CETA EMF14 Stnd Ref
RICE EMF14
2030
2040 2050
Time (year)
2060
2070
2080
2090
2100
We Compared Our Model’s Response to the
MiniCAM Business as Usual Fossil Fuel
Emissions Scenario
CO2 concentration in the atmosphere
Result when
our carbon
cycle is fed
by
MiniCAM’s
emissions
ppm
800
400
0
1990
2010
2030
2050
Time (year)
Our Model
MiniCAM
2070
2090
We Compared Our Model’s Response to the
MiniCAM “Accelerated Tech” Reduction
Fossil Fuel Emissions Scenario
CO2 concentration in the atmosphere
Result when
our carbon
cycle is fed
by
MiniCAM’s
emissions
400
MiniCAM FF Emissions for Accel Tech Reduction Scenario
200
8B
1990
2020
2050
Time (year)
Our Model
MiniCAM
2080
6B
tonsC/year
ppm
600
4B
2B
0
1990
2010
2030
2050
Time (year)
Emissions World MiniCAM Accel Tech : bau
2070
2090
We Plan to Post the Sim Online for Global Use
QuickTime™ and a
decompressor
are needed to see this picture.
More information
• Models on which the model that created these runs were based
– http://www.metasd.com/models/index.html#Climate
• Interactive version covering some of these ideas
– http://www.seed.slb.com/en/scictr/watch/climate_change/challenge.htm
– http://www.sustainabilityinstitute.org/tools_resources/climatebathtubsim.
html
– http://web.mit.edu/jsterman/www/GHG.html
• Video version
– http://video.google.com/videoplay?docid=8235725143334110601&pr=g
oog-sl
• Other related simulations
– http://www.sustainabilityinstitute.org/climate_change/simulations.html \
• Project blog
– http://climateinteractive.wordpress.com/
• For an interactive, online demonstration, contact
– [email protected]