IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v140y2017i3d10.1007_s10584-016-1864-1.html
   My bibliography  Save this article

Sources and implications of deep uncertainties surrounding sea-level projections

Author

Listed:
  • Alexander M. R. Bakker

    (Pennsylvania State University
    Rijkswaterstaat, Ministry of Infrastructure and the Environment)

  • Domitille Louchard

    (Aix-Marseille University, Mediterranean Institute of Oceanography (MIO) UM110, CEREGE UM34
    ETH Zürich)

  • Klaus Keller

    (Pennsylvania State University
    Pennsylvania State University
    Carnegie Mellon University)

Abstract

Long-term flood risk management often relies on future sea-level projections. Projected uncertainty ranges are however widely divergent as a result of different methodological choices. The IPCC has condensed this deep uncertainty into a single uncertainty range covering 66% probability or more. Alternatively, structured expert judgment summarizes divergent expert opinions in a single distribution. Recently published uncertainty ranges that are derived from these “consensus” assessments appear to differ by up to a factor four. This might result in overconfidence or overinvestment in strategies to cope with sea-level change. Here we explore possible reasons for these different interpretations. This is important for (i) the design of robust strategies and (ii) the exploration of pathways that may eventually lead to some kind of consensus distributions that are relatively straightforward to interpret.

Suggested Citation

  • Alexander M. R. Bakker & Domitille Louchard & Klaus Keller, 2017. "Sources and implications of deep uncertainties surrounding sea-level projections," Climatic Change, Springer, vol. 140(3), pages 339-347, February.
  • Handle: RePEc:spr:climat:v:140:y:2017:i:3:d:10.1007_s10584-016-1864-1
    DOI: 10.1007/s10584-016-1864-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-016-1864-1
    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/s10584-016-1864-1?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen C. Hora & Benjamin R. Fransen & Natasha Hawkins & Irving Susel, 2013. "Median Aggregation of Distribution Functions," Decision Analysis, INFORMS, vol. 10(4), pages 279-291, December.
    2. JL Bamber & WP Aspinall & RM Cooke, 2016. "A commentary on “how to interpret expert judgment assessments of twenty-first century sea-level rise” by Hylke de Vries and Roderik SW van de Wal," Climatic Change, Springer, vol. 137(3), pages 321-328, August.
    3. J. L. Bamber & W. P. Aspinall, 2013. "An expert judgement assessment of future sea level rise from the ice sheets," Nature Climate Change, Nature, vol. 3(4), pages 424-427, April.
    4. repec:cup:judgdm:v:10:y:2015:i:2:p:130-143 is not listed on IDEAS
    5. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.
    6. Michael Oppenheimer & Christopher M. Little & Roger M. Cooke, 2016. "Expert judgement and uncertainty quantification for climate change," Nature Climate Change, Nature, vol. 6(5), pages 445-451, May.
    7. Willy Aspinall, 2010. "A route to more tractable expert advice," Nature, Nature, vol. 463(7279), pages 294-295, January.
    8. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    9. Hylke Vries & Roderik S. W. Wal, 2016. "Response to commentary by J. L. Bamber, W. P. Aspinall and R. M. Cooke (2016)," Climatic Change, Springer, vol. 137(3), pages 329-332, August.
    10. Caroline Katsman & A. Sterl & J. Beersma & H. Brink & J. Church & W. Hazeleger & R. Kopp & D. Kroon & J. Kwadijk & R. Lammersen & J. Lowe & M. Oppenheimer & H. Plag & J. Ridley & H. Storch & D. Vaugha, 2011. "Exploring high-end scenarios for local sea level rise to develop flood protection strategies for a low-lying delta—the Netherlands as an example," Climatic Change, Springer, vol. 109(3), pages 617-645, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jérémy Rohmer & Gonéri Cozannet & Jean-Charles Manceau, 2019. "Addressing ambiguity in probabilistic assessments of future coastal flooding using possibility distributions," Climatic Change, Springer, vol. 155(1), pages 95-109, July.
    2. G. Guthrie, 2021. "Adapting to Rising Sea Levels: How Short-Term Responses Complement Long-Term Investment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(4), pages 635-668, April.
    3. Rui Shi & Benjamin F. Hobbs & Huai Jiang, 2019. "When can decision analysis improve climate adaptation planning? Two procedures to match analysis approaches with adaptation problems," Climatic Change, Springer, vol. 157(3), pages 611-630, December.

    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. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.
    2. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    3. David V. Budescu & Eva Chen, 2015. "Identifying Expertise to Extract the Wisdom of Crowds," Management Science, INFORMS, vol. 61(2), pages 267-280, February.
    4. Maya K. Buchanan & Robert E. Kopp & Michael Oppenheimer & Claudia Tebaldi, 2016. "Allowances for evolving coastal flood risk under uncertain local sea-level rise," Climatic Change, Springer, vol. 137(3), pages 347-362, August.
    5. Despoina Makariou & Pauline Barrieu & George Tzougas, 2021. "A Finite Mixture Modelling Perspective for Combining Experts’ Opinions with an Application to Quantile-Based Risk Measures," Risks, MDPI, vol. 9(6), pages 1-25, June.
    6. Jérémy Rohmer & Gonéri Cozannet & Jean-Charles Manceau, 2019. "Addressing ambiguity in probabilistic assessments of future coastal flooding using possibility distributions," Climatic Change, Springer, vol. 155(1), pages 95-109, July.
    7. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
    8. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.
    9. Le Bars, Dewi, 2018. "Uncertainty in sea level rise projections due to the dependence between contributors," Earth Arxiv uvw3s, Center for Open Science.
    10. Tony E. Wong & Alexander M. R. Bakker & Klaus Keller, 2017. "Impacts of Antarctic fast dynamics on sea-level projections and coastal flood defense," Climatic Change, Springer, vol. 144(2), pages 347-364, September.
    11. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
    12. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
    13. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    14. Flandoli, F. & Giorgi, E. & Aspinall, W.P. & Neri, A., 2011. "Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1292-1310.
    15. Anil Gaba & Ilia Tsetlin & Robert L. Winkler, 2017. "Combining Interval Forecasts," Decision Analysis, INFORMS, vol. 14(1), pages 1-20, March.
    16. Hylke Vries & Roderik S. W. Wal, 2016. "Response to commentary by J. L. Bamber, W. P. Aspinall and R. M. Cooke (2016)," Climatic Change, Springer, vol. 137(3), pages 329-332, August.
    17. Borgonovo, Emanuele & Marinacci, Massimo, 2015. "Decision analysis under ambiguity," European Journal of Operational Research, Elsevier, vol. 244(3), pages 823-836.
    18. Jasper Verschuur & Dewi Bars & Caroline A. Katsman & Sierd de Vries & Roshanka Ranasinghe & Sybren S. Drijfhout & Stefan G. J. Aarninkhof, 2020. "Implications of ambiguity in Antarctic ice sheet dynamics for future coastal erosion estimates: a probabilistic assessment," Climatic Change, Springer, vol. 162(2), pages 859-876, September.
    19. Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
    20. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

    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:140:y:2017:i:3:d:10.1007_s10584-016-1864-1. 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.