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Meaningful climate science

Author

Listed:
  • Theodore G. Shepherd

    (University of Reading)

  • Elisabeth A. Lloyd

    (Indiana University)

Abstract

Within the climate science community, useable climate science has been understood as quantitative, usually as a best estimate together with a quantified uncertainty. Physical scientists are trained to produce numbers and to draw general, abstract conclusions. In general, however, people relate much better to stories and to events they have experienced, which are inevitably contingent and particular. Sheila Jasanoff has argued elsewhere that the process of abstraction in climate science “detaches knowledge from meaning”. Perhaps useable climate science is, then, meaningful climate science. We argue here that the development of meaningful climate science can be achieved by adopting a storyline approach to climate variability and change. By ‘storyline’ we mean a physically self-consistent unfolding of past events or of plausible future events or pathways. Storylines represent a combination of qualitative and quantitative information, where the qualitative element represents a packaging or contextualization of the quantitative aspects, which ensures that data can be meaningfully interpreted. Viewed from this perspective, we show that physical climate storylines can be aligned with several well-established vehicles for translation of knowledge between diverse communities: narratives, boundary objects, and data journeys. They can therefore be used as a ‘pidgin language’ to enrich the set of tools available to climate scientists to bring meaning to climate knowledge. “And what is the use of a book”, thought Alice, “without pictures or conversations?” (Lewis Carroll, Alice’s Adventures in Wonderland).

Suggested Citation

  • Theodore G. Shepherd & Elisabeth A. Lloyd, 2021. "Meaningful climate science," Climatic Change, Springer, vol. 169(1), pages 1-16, November.
    • Handle: RePEc:spr:climat:v:169:y:2021:i:1:d:10.1007_s10584-021-03246-2
    DOI: 10.1007/s10584-021-03246-2
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    References listed on IDEAS

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    11. Theodore G. Shepherd, 2021. "Bringing physical reasoning into statistical practice in climate-change science," Climatic Change, Springer, vol. 169(1), pages 1-19, November.
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    Cited by:

    1. Alberto Arribas & Ross Fairgrieve & Trevor Dhu & Juliet Bell & Rosalind Cornforth & Geoff Gooley & Chris J. Hilson & Amy Luers & Theodore G. Shepherd & Roger Street & Nick Wood, 2022. "Climate risk assessment needs urgent improvement," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    2. Tian-Yuan Huang & Liangping Ding & Yong-Qiang Yu & Lei Huang & Liying Yang, 2023. "From AR5 to AR6: exploring research advancement in climate change based on scientific evidence from IPCC WGI reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5227-5245, September.
    3. Deborah R. Coen & Adam Sobel, 2022. "Introduction: Critical and historical perspectives on usable climate science," Climatic Change, Springer, vol. 172(1), pages 1-9, May.

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