Rapid, flexible simulations to aid climate negotiations: The ...web.mit.edu/fens/docs/Sterman...

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1 Rapid, flexible simulations to aid climate negotiations: The C-ROADS Climate Model MITEI External Advisory Board 8 October 2009 John Sterman Jay W. Forrester Professor of Management Professor of Engineering Systems Director MIT System Dynamics Group MIT Sloan School of Management [email protected] web.mit.edu/jsterman/www 617.253.1951 How do people think about climate change? How do we move beyond delay, denial and despair?

Transcript of Rapid, flexible simulations to aid climate negotiations: The ...web.mit.edu/fens/docs/Sterman...

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    Rapid, flexible simulations to aid climate negotiations:


    The C-ROADS Climate ModelMITEI External Advisory Board

    8 October 2009

    John StermanJay W. Forrester Professor of Management

    Professor of Engineering SystemsDirector MIT System Dynamics Group

    MIT Sloan School of [email protected]

    web.mit.edu/jsterman/www617.253.1951

    How do people think about climate change?

    How do we move beyond delay, denial and despair?

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    Emissions now exceed the IPCC Worst-case Scenario.

    Foss

    il Fu

    el E

    miss

    ions

    (GtC

    /yr)

    (IPCC Worst-Case)

    2007: 2.2 ppm/year

    Atmospheric CO2 Concentration, 2008:

    385 ppm 37% above pre-industrial

    Atmospheric CO2 Concentration

    Data Source: Pieter Tans and Thomas Conway, NOAA/ESRL

    http://www.esrl.noaa.gov/gmd/webdata/ccgg/trends/co2_data_mlo.pdf

    Growth in Atmospheric CO2 1970-79: 1.3 ppm/year 1980-89: 1.6 ppm/year 1990-99: 1.5 ppm/year 2000-07: 2.0 ppm/year 2007: 2.2 ppm/year

    2008: 1.7 ppm/year

    Acc

    eler

    atin

    g

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    Impacts of Projected Warming by 2100

    (IPCC AR4)

    Mean and 90% confidence interval of Projected

    Warming by 2100 under

    Business as Usual

    (IPCC AR4, A1FI scenario)

    1.5 °C2.7 °F

    4.0 °C7.2 °F

    6.4 °C11.5 °F

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    1.5 °C2.7 °F

    4.0 °C7.2 °F

    6.4 °C11.5 °F

    3.5 °C6.3 ° F

    5.2 °C9.4 °F

    7.4 °C13.3 °F

    MIT Joint Program on Global Change

    (Sokolov et al. 2009, Journal of Climate)

    Projected mean temp increase by 2100

    under BAU: 5.2 °C (9.4 °F)

    90% range:3.5 – 7.4 °C

    (6.3 – 13.3 °F)

    Impacts of Projected Warming by 2100

    •  Technical, economic and social innovation

    •  Strong, enforceable intʼl agreements and domestic policies to reduce GHG emissions

    •  Strong public support for intʼl agreements and national policies

    •  Distributed leadership—
Govʼt, Corporate, Civil Society

    Meeting the Climate Change Challenge Requires

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    •  How proposals of individual nations translate into emissions paths at the national level

    •  How national proposals aggregate to global emissions

    •  How global emissions affect atmospheric GHG concentrations, global mean surface temperature, sea level, other climate impacts

    It is difficult for negotiators and policymakers to understand:

    •  Peopleʼs understanding of climate dynamics is poor-  Even among highly educated with strong STEM training

    Sterman, J. (2008) Science 322: 532-533, 24 Oct.�Sterman, J. and L. Booth Sweeney (2007). Climatic Change 80(3-4): 213-238.

    •  Existing climate models –  Unavailable or not fully documented–  Expensive–  Opaque to policymakers–  Cycle time for simulations, sensitivity analysis too long for real-

    time use by negotiators

    •  Proposals for emissions reductions often –  Framed in incompatible terms (emissions vs. emissions per

    capita vs. emissions intensity of GDP)–  Use different metrics (GtC vs. GtCO2 vs. GtCO2e)–  Use different projections for population & economic growth

    Need for rapid, flexible climate models:

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    Policymaker Mental Models“Currently, in the UNFCCC negotiation process, the concrete environmental consequences of the various positions are not clear to all of us. There is a dangerous void of understanding of the short and long term impacts of the espoused …unwillingness to act on behalf of the Parties.” 

    – Christiana Figueres, UNFCCC negotiator 
 for Costa Rica

    Difficulty assessing proposals“...delegates [in Bonn] complained that their heads were spinning as they were trying to understand the science and assumptions underlying the increasing number of proposals tabled for Annex I countries’ emission reduction ranges.

    http://www.iisd.ca/vol12/enb12403e.html

    “They all seem to use different base years and assumptions…:  how can we make any sense of them?” commented one negotiator.”

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    Purpose of C-ROADS
(Climate Rapid Overview And Decision Support)

    Improve understanding of important climate dynamics among Policymakers Educators The public

    to help ensure that climate policy is informed by vetted, peer-reviewed science

    C-ROADS Development Team
(Climate Rapid Overview And Decision Support)

    –  Dr. Tom Fiddaman, Ventana Systems–  Dr. Travis Franck, MIT & Tufts Fletcher School–  Andrew Jones, Sustainability Institute–  Dr. Phil Rice, Sustainability Institute–  Dr. Beth Sawin, Sustainability Institute–  Dr. Lori Siegel, Sustainability Institute–  Dr. John Sterman, MIT System Dynamics Group

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    Partners and Financial Supporters

    To meet the challenge, 
C-ROADS designed to be:

    •  Fast Simulates in < 1 second

    • Accessible and Transparent Used easily on a laptop by non-modelers Open-box; all assumptions easily

    examined• Grounded in and consistent with

    accepted climate science Explicit carbon cycle, radiative balance Calibrated to and tested against IPCC

    AR4, other models and data

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    17

    (10 layers)

    Carbon Cycle•  Atmosphere•  Two biosphere

    compartments•  Ocean:

    •  Mixed layer•  10 deep ocean layers

    •  Explicit stock/flow structure for other GHGs•  CH4•  N2O•  HFCs, PFCs, SF6, etc.

    •  Aerosols & Black Carbon

    18

    (10 layers)

    Radiative Balance

    OtherForcings

    •  CO2•  CH4•  N2O•  Other GHGs•  Aerosols•  Black carbon•  Heat transfer to

    surface, deep ocean

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    Atmospheric CO2 vs. History

    1850 1900 1950 2000

    ppm

    400

    350

    300

    250

    200

    C-ROADS

    Data

    C-ROADS vs C4MIP
SRES A2, coupled models

    C-ROADS

    Friedlingstein, P., et al. (2006), Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison. Journal of Climate, 19(14), 3337-3353.

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    C-ROADS Projections
vs. AR4 Ensemble

    IPCC AR4 Fig. SPM.5

    *

    *

    * * *

    * 43

    2

    1

    0

    IPCC AR4 Fig. SPM.5

    C-ROADS Projections
vs. AR4 Ensemble

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    Sea Level HistorySea Level vs Data

    40

    -70

    -180

    -290

    -4001850 1872 1894 1916 1938 1960 1982 2004

    Time (Year)

    mm

    Tide Gauge v 2000 : sr7m3Sat v 2000 : sr7m3Sea Level Rise[i A1FI] : sr7m3Sea Level Rise[i B1] : sr7m3Sea Level Rise[Committed] : sr7m3

    C-ROADS

    Tide Gauge

    Satellite

    mm

    1850 1900 1950 2004

    40

    -70

    -180

    -290

    -400

    C-ROADS Scientific Review Panel

    • Dr. Robert Watson Department for Environment, Food and Rural Affairs (DEFRA) and former chair, IPCC

    • Mr. Eric Beinhocker McKinsey Global Institute • Dr. Klaus Hasselmann Max-Planck Institut für Meteorologie • Dr. David Lane London School of Economics • Dr. Jørgen Randers Norwegian School of Management (BI) • Dr. Stephen Schneider Stanford University • Dr. Bert de Vries Netherlands Environmental Assessment Agency,

    RIVM

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    Conclusion of Scientific Review PanelThe C-ROADS model •  “reproduces the response properties of state-of-the-art

    three dimensional climate models very well.” •  “is a sensitivity tool, rather than a tool to provide precise

    quantitative estimates of projected emissions, CO2 concentrations, and temperature and sea level responses.”

    •  “Given the modelʼs capabilities and its close alignment with a range of scenarios published in the Fourth Assessment Report of the IPCC we support its widespread use among a broad range of users and recommend that it be considered as an official United Nations tool. ”

    Model Demonstration

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    How is C-ROADS being used?• Policymakers and negotiators:

    –  Internal capability to use model– Scenario and policy assessment

    •  US, China, other nations• Media and the public:

    – “State of the global deal” reported on climateinteractive.org

    • Educators, business, civil society:– Free web version: C-LEARN–  “Copenhagen Climate Exercise” (Role-play simulation

    of UNFCCC negotiations)– Available at climateinteractive.org

    Educational version of C-ROADS:Available free at climateinteractive.org

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    Future Development•  To enhance the model:

    –  Additional feedbacks, climate impacts–  Additional policies, scenarios–  Economic impacts (mitigation and adaptation costs, transition

    dynamics)

    •  To support policymakers and negotiators:–  Create a common, transparent platform UNFCCC parties and

    others (e.g., US-China bilateral talks) use jointly to evaluate proposed emission reductions goals and policies.

    •  To support educators, businesses, civil society:–  Open source version of C-LEARN anyone can modify, enhance–  Train citizens to use the model, run the Copenhagen Climate

    Simulation, and embed the model in curricula at all levels (K-12, university, executive, government, public education)

    Thank you


    For more information:

    climateinteractive.org