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  • Slide 1
  • Open source modeling as an enabler of transparent decision making Ian Foster Computation Institute University of Chicago & Argonne National Laboratory
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  • Wicked problem Mess Super wicked problem
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  • The primitive equations of atmospheric dynamics The Global Climate, J. Houghton (Ed), CUP, 1985, p41
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  • ModelNationality Open source ? BCCChina BCCRNorway CCSMUSA CGCMCanada CNRMFrance CSIROAus ECHAMGermany ECHO-GGermany FGOALSChina GFDLUSA GISSUSA INMRussia MIROCJapan MRIJapan PCMUSA UKMOUK Andy Pitman and Steven Phipps, UNSW (FOSS4G keynote, 2009)
  • Slide 11
  • ModelNationality Open source ? BCCChina No BCCRNorway Noi CCSMUSA CGCMCanada No CNRMFrance No CSIROAus ECHAMGermany No ECHO-GGermany FGOALSChina No GFDLUSA GISSUSA INMRussia No MIROCJapan No MRIJapan No PCMUSA No UKMOUK Andy Pitman and Steven Phipps, UNSW (FOSS4G keynote, 2009)
  • Slide 12
  • ModelNationality Open source ? BCCChina No BCCRNorway No CCSMUSA CGCMCanada No CNRMFrance No CSIROAus Via license, never latest version ECHAMGermany No ECHO-GGermany FGOALSChina No GFDLUSA GISSUSA INMRussia No MIROCJapan No MRIJapan No PCMUSA No UKMOUK Via license, never latest version Andy Pitman and Steven Phipps, UNSW (FOSS4G keynote, 2009)
  • Slide 13
  • ModelNationality Open source ? BCCChina No BCCRNorway No CCSMUSA CGCMCanada No CNRMFrance No CSIROAus Via license, never latest version ECHAMGermany No ECHO-GGermany A variant may be available FGOALSChina No GFDLUSA A variant may be available GISSUSA INMRussia No MIROCJapan No MRIJapan No PCMUSA No UKMOUK Via license, never latest version Andy Pitman and Steven Phipps, UNSW (FOSS4G keynote, 2009)
  • Slide 14
  • ModelNationality Open source ? BCCChina No BCCRNorway No CCSMUSA Yes fully accessible CGCMCanada No CNRMFrance No CSIROAus Via license, never latest version ECHAMGermany No ECHO-GGermany A variant may be available FGOALSChina No GFDLUSA A variant may be available GISSUSA Yes fully accessible INMRussia No MIROCJapan No MRIJapan No PCMUSA No UKMOUK Via license, never latest version Andy Pitman and Steven Phipps, UNSW (FOSS4G keynote, 2009)
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  • A Question of Balance, W. Nordhaus, 2008, p205 A subset of the DICE model
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  • Coarse-grained 64x128 (~2.8) grid used in 4 th Intergovernmental Panel on Climate Change (IPCC) studies
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  • Oxford CLIMOX model
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  • Opportunities for improvement Resolution: geographic, sectoral, population Resource accounting: fossil fuels, water, etc. Human expectations, investment decisions Intrinsic stochasticity Uncertainty and human response to uncertainty Impacts, adaptation Capital vintages Technological change Institutional and regulatory friction Imperfect competition Human preferences Population change Trade, leakages National preferences, negotiations, conflict
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  • Republicans: According to an MIT study, cap and trade could cost the average household more than $3,100 per year Reilly: Analysis misrepresented The correct estimate is approximately $340. Reilly: "I made a boneheaded mistake in an Excel spreadsheet. Revises $340 to $800.
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  • Most existing models are proprietary ADAGE ( RTI Inc.) IGEM (Jorgenson Assoc.) IPM ( ICF Consulting) FASOM ( Texas A&M) Four closed models
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  • Community Integrated Model of Energy and Resource Trajectories for Humankind (CIM-EARTH) www.cimearth.org
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  • Center for Robust Decision making on Climate and Energy Policy (RDCEP)
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  • Producer j solves: Output MaterialsEnergyKapitalLabor OO ME KL
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  • Basic producer problem Utility Widget1Widget2Gadget1Gadget2 Each consumer: Market : UU WW GG
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  • The Global Trade Analysis Project
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  • Fossil energy reserves China Sub S. Africa World Oil U.S. Brazil Mid East/ N. Afr.
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  • Difference from 2000 2010 cell coverage fractions
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  • Difference from 2000 2022 cell coverage fractions
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  • MODIS Annual Global LC (MCD12Q1) resolution: 15 seconds (~500m) variables: primary cover (17 classes), confidence (%), secondary cover time span: 2001-2008 Harvested Area and Yields of 175 crops (Monfreda, Ramankutty, and Foley 2008) resolution: 5 minutes (~9km) variables: harvested area, yield, scale of source time span: 2000 (nominal) Global Irrigated Areas Map (GIAM) International Water Management Institute (IWMI) resolution: 5 minutes (~9km) variables: various crop system/practice classifications time span: 1999 (nominal)
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  • NLCD 2001 resolution: 1 second (~30m) variables: various classifications including 4 developed classes and separate pasture/crop cover classes time span: 2001 World Database on Protected Areas resolution: sampled from polygons; aggr. to 10km variables: protected areas time span: 2009 FAO Gridded Livestock of the World (GLW) resolution: 3 minutes (~5km) variables: various livestock densities and production systems time span: 2000 and 2005 (nominal)
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  • Model evaluation Building time-series land cover products for validation Integrating ultra-high resolution regional datasets to improve models Gather multi-scale inventory data (county, state, nation) over 60 yrs NLCD 2000 NLCD 2005
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  • Wicked, messy problems Need for transparency and broad participation Open source! Must encompass the entire modeling process CIM-EARTH
  • Slide 39
  • Acknowledgements Numerous people are involved in the RDCEP and CIM-EARTH work, including: Lars Peter Hansen, Ken Judd, Liz Moyer, Todd Munson (RDCEP Co-Is) Buz Brock, Joshua Elliott, Don Fullerton, Tom Hertel, Sam Kortum, Rao Kotamarthi, Peggy Loudermilk, Ray Pierrehumbert, Alan Sanstad, Lenny Smith, David Weisbach, and others Many thanks to our funders: DOE, NSF, the MacArthur Foundation, Argonne National Laboratory, and U.Chicago
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  • Thank you! Ian Foster [email protected] Computation Institute University of Chicago & Argonne National Laboratory