IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v177y2024i3d10.1007_s10584-024-03693-7.html
   My bibliography  Save this article

From regional climate models to usable information

Author

Listed:
  • Julie Jebeile

    (University of Bern
    CNRM UMR 3589, Météo-France/CNRS, Centre National de Recherches Météorologiques)

Abstract

Today, a major challenge for climate science is to overcome what is called the “usability gap” between the projections derived fromclimate models and the needs of the end-users. Regional Climate Models (RCMs) are expected to provide usable information concerning a variety of impacts and for a wide range of end-users. It is often assumed that the development of more accurate, more complex RCMs with higher spatial resolution should bring process understanding and better local projections, thus overcoming the usability gap. In this paper, I rather assume that the credibility of climate information should be pursued together with two other criteria of usability, which are salience and legitimacy. Based on the Swiss climate change scenarios, I study the attempts at meeting the needs of end-users and outline the trade-off modellers and users have to face with respect to the cascade of uncertainty. A conclusion of this paper is that the trade-off between salience and credibility sets the conditions under which RCMs can be deemed adequate for the purposes of addressing the needs of end-users and gearing the communication of the projections toward direct use and action.

Suggested Citation

  • Julie Jebeile, 2024. "From regional climate models to usable information," Climatic Change, Springer, vol. 177(3), pages 1-19, March.
  • Handle: RePEc:spr:climat:v:177:y:2024:i:3:d:10.1007_s10584-024-03693-7
    DOI: 10.1007/s10584-024-03693-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-024-03693-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-024-03693-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Chris D. Hewitt & Roger C. Stone & Andrew B. Tait, 2017. "Improving the use of climate information in decision-making," Nature Climate Change, Nature, vol. 7(9), pages 614-616, September.
    2. B. Hewitson & J. Daron & R. Crane & M. Zermoglio & C. Jack, 2014. "Interrogating empirical-statistical downscaling," Climatic Change, Springer, vol. 122(4), pages 539-554, February.
    3. Wendy S. Parker, 2013. "Ensemble modeling, uncertainty and robust predictions," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 4(3), pages 213-223, May.
    4. Joel Katzav & Erica L. Thompson & James Risbey & David A. Stainforth & Seamus Bradley & Mathias Frisch, 2021. "On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives," Climatic Change, Springer, vol. 169(1), pages 1-20, November.
    5. Suraje Dessai & Mike Hulme, 2004. "Does climate adaptation policy need probabilities?," Climate Policy, Taylor & Francis Journals, vol. 4(2), pages 107-128, June.
    6. Katzav, Joel & Thompson, Erica L. & Risbey, James & Stainforth, David A. & Bradley, Seamus & Frisch, Mathias, 2021. "On the appropriate and inappropriate uses of probability distributions in climate projections and some alternatives," LSE Research Online Documents on Economics 112978, London School of Economics and Political Science, LSE Library.
    7. Maria Carmen Lemos & Christine J. Kirchhoff & Vijay Ramprasad, 2012. "Narrowing the climate information usability gap," Nature Climate Change, Nature, vol. 2(11), pages 789-794, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehryar, Sara & Sasson, Idan & Surminski, Swenja, 2022. "Supporting urban adaptation to climate change: what role can resilience measurement tools play?," LSE Research Online Documents on Economics 113367, London School of Economics and Political Science, LSE Library.
    2. Christine M. Albano & Maureen I. McCarthy & Michael D. Dettinger & Stephanie A. McAfee, 2021. "Techniques for constructing climate scenarios for stress test applications," Climatic Change, Springer, vol. 164(3), pages 1-25, February.
    3. Meghan Alexander & Suraje Dessai, 2019. "What can climate services learn from the broader services literature?," Climatic Change, Springer, vol. 157(1), pages 133-149, November.
    4. Gigi Owen & Daniel B. Ferguson & Ben McMahan, 2019. "Contextualizing climate science: applying social learning systems theory to knowledge production, climate services, and use-inspired research," Climatic Change, Springer, vol. 157(1), pages 151-170, November.
    5. Shelley Gustafson & Angela Joehl Cadena & Chinh Cong Ngo & Ammar Kawash & Ienkate Saenghkaew & Paul Hartman, 2018. "Merging science into community adaptation planning processes: a cross-site comparison of four distinct areas of the Lower Mekong Basin," Climatic Change, Springer, vol. 149(1), pages 91-106, July.
    6. Jean P. Palutikof & Roger B. Street & Edward P. Gardiner, 2019. "Decision support platforms for climate change adaptation: an overview and introduction," Climatic Change, Springer, vol. 153(4), pages 459-476, April.
    7. Surminski, Swenja & Barnes, Jonathan & Vincent, Katharine, 2022. "Can insurance catalyse government planning on climate? Emergent evidence from Sub-Saharan Africa," World Development, Elsevier, vol. 153(C).
    8. Mark S Roulston & Kim Kaivanto, 2024. "Joint-outcome prediction markets for climate risks," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-14, August.
    9. Liu, Guangqiang & Zeng, Qing & Lei, Juan, 2022. "Dynamic risks from climate policy uncertainty: A case study for the natural gas market," Resources Policy, Elsevier, vol. 79(C).
    10. Xueke Li & Amanda H. Lynch, 2023. "New insights into projected Arctic sea road: operational risks, economic values, and policy implications," Climatic Change, Springer, vol. 176(4), pages 1-16, April.
    11. Chris Knudson & Zack Guido, 2019. "The missing middle of climate services: layering multiway, two-way, and one-way modes of communicating seasonal climate forecasts," Climatic Change, Springer, vol. 157(1), pages 171-187, November.
    12. S. Lorenz & S. Dessai & J. Paavola & P. Forster, 2015. "The communication of physical science uncertainty in European National Adaptation Strategies," Climatic Change, Springer, vol. 132(1), pages 143-155, September.
    13. Arun S. Malik & Stephen C. Smith, 2012. "Adaptation To Climate Change In Low-Income Countries: Lessons From Current Research And Needs From Future Research," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-22.
    14. Ojha, Hemant & Regmi, Udeep & Shrestha, Krishna K. & Paudel, Naya Sharma & Amatya, Swoyambhu Man & Zwi, Anthony B. & Nuberg, Ian & Cedamon, Edwin & Banjade, Mani R., 2020. "Improving science-policy interface: Lessons from the policy lab methodology in Nepal's community forest governance," Forest Policy and Economics, Elsevier, vol. 114(C).
    15. Christine Kirchhoff, 2013. "Understanding and enhancing climate information use in water management," Climatic Change, Springer, vol. 119(2), pages 495-509, July.
    16. Roger B. Street & Patrick Pringle & Tiago Capela Lourenço & Mariana Nicolletti, 2019. "Transferability of decision-support tools," Climatic Change, Springer, vol. 153(4), pages 523-538, April.
    17. L.E. Garcia & J.H. Matthews & D.J. Rodriguez & M. Wijnen & K.N. DiFrancesco & P. Ray, 2014. "Beyond Downscaling : A Bottom-Up Approach to Climate Adaptation for Water Resources Management," World Bank Publications - Reports 21066, The World Bank Group.
    18. Bethany Robinson & Jonathan D. Herman, 2019. "A framework for testing dynamic classification of vulnerable scenarios in ensemble water supply projections," Climatic Change, Springer, vol. 152(3), pages 431-448, March.
    19. Snow, Stephen & Fielke, Simon & Fleming, Aysha & Jakku, Emma & Malakar, Yuwan & Turner, Charles & Hunter, Tammy & Tijs, Sigrid & Bonnett, Graham, 2024. "Climate services for agriculture: Steering towards inclusive innovation in Australian climate services design and delivery," Agricultural Systems, Elsevier, vol. 217(C).
    20. Liam James Heaphy, 2018. "The challenges of aligning the scales of urban climate science and climate policy in London and Manchester," Environment and Planning C, , vol. 36(4), pages 609-628, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:177:y:2024:i:3:d:10.1007_s10584-024-03693-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.