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Reflections on cross-impact balances, a systematic method constructing global socio-technical scenarios for climate change research

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  • Vanessa J. Schweizer

    (University of Waterloo)

Abstract

Experiences with an algorithmic technique—cross-impact balances (CIB)—for exploring scenarios rather than relying solely upon expert intuitions are discussed. With CIB, two types of uncertainty for climate change research have been explored: (1) socio-technical uncertainties not represented explicitly in integrated assessment models (sometimes called “context scenarios”) and (2) sampling the space of possible futures to model. By applying CIB retrospectively and prospectively to two global socio-economic scenario exercises for climate change research (the Special Report on Emissions Scenarios and the Shared Socioeconomic Pathways), CIB proved instructive in two ways. First, CIB revealed system behaviors that were not obvious when social variables, such as quality of governance, were not captured explicitly by integrated assessment models. Second, CIB can algorithmically rank different plausible futures according to their self-consistency. These two capabilities have raised awareness about the limitations of accepting what may be “obvious” to model, as practices that focus solely on quantitative variables or rely upon intuitions for scenario analysis may result in detailed analyses of only a subset of important policy-relevant futures. From these experiences, systematic methods like CIB are recommended in conjunction with more detailed modeling to develop integrated socio-technical scenarios in energy-economy research.

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  • Vanessa J. Schweizer, 2020. "Reflections on cross-impact balances, a systematic method constructing global socio-technical scenarios for climate change research," Climatic Change, Springer, vol. 162(4), pages 1705-1722, October.
    • Handle: RePEc:spr:climat:v:162:y:2020:i:4:d:10.1007_s10584-019-02615-2
    DOI: 10.1007/s10584-019-02615-2
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    1. Yamineva, Yulia, 2017. "Lessons from the Intergovernmental Panel on Climate Change on inclusiveness across geographies and stakeholders," Environmental Science & Policy, Elsevier, vol. 77(C), pages 244-251.
    2. Tietje, Olaf, 2005. "Identification of a small reliable and efficient set of consistent scenarios," European Journal of Operational Research, Elsevier, vol. 162(2), pages 418-432, April.
    3. Dale Rothman & Patricia Romero-Lankao & Vanessa Schweizer & Beth Bee, 2014. "Challenges to adaptation: a fundamental concept for the shared socio-economic pathways and beyond," Climatic Change, Springer, vol. 122(3), pages 495-507, February.
    4. B.C. O'Neill & T Carter & Kl Ebi & J. Edmonds & Stéphane Hallegatte & E. Kemp-Benedict & E. Kriegler & L. Mearns & R. Moss & K. Riahi & B. van Ruijven & D. van Vuuren, 2012. "Meeting Report of the Workshop on The Nature and Use of New Socioeconomic Pathways for Climate Change Research," Working Papers hal-00801931, HAL.
    5. Vanessa Schweizer & Brian O’Neill, 2014. "Systematic construction of global socioeconomic pathways using internally consistent element combinations," Climatic Change, Springer, vol. 122(3), pages 431-445, February.
    6. Céline Guivarch & Julie Rozenberg & Vanessa Schweizer, 2016. "The diversity of socio-economic pathways and CO2 emissions scenarios: Insights from the investigation of a scenarios database," Post-Print halshs-01292901, HAL.
    7. Martin Kowarsch & Jennifer Garard & Pauline Riousset & Dominic Lenzi & Marcel J. Dorsch & Brigitte Knopf & Jan-Albrecht Harrs & Ottmar Edenhofer, 2016. "Scientific assessments to facilitate deliberative policy learning," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-20, December.
    8. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    9. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    10. Thomas Wilbanks & Kristie Ebi, 2014. "SSPs from an impact and adaptation perspective," Climatic Change, Springer, vol. 122(3), pages 473-479, February.
    11. Weimer-Jehle, Wolfgang & Buchgeister, Jens & Hauser, Wolfgang & Kosow, Hannah & Naegler, Tobias & Poganietz, Witold-Roger & Pregger, Thomas & Prehofer, Sigrid & von Recklinghausen, Andreas & Schippl, , 2016. "Context scenarios and their usage for the construction of socio-technical energy scenarios," Energy, Elsevier, vol. 111(C), pages 956-970.
    12. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    13. Céline Guivarch & Robert Lempert & Evelina Trutnevyte, 2017. "Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty," Post-Print halshs-01579281, HAL.
    14. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    15. Nebojsa Nakicenovic & Robert Lempert & Anthony Janetos, 2014. "A Framework for the Development of New Socio-economic Scenarios for Climate Change Research: Introductory Essay," Climatic Change, Springer, vol. 122(3), pages 351-361, February.
    16. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
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