Uncertainty analysis in climate change assessments

Nature Climate Change volume 3, pages769–771(2013)Cite this article

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Use of state-of-the-art statistical methods could substantially improve the quantification of uncertainty in assessments of climate change.

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Figure 1: Uncertainty of projected sea-level rise for 2075 in Olympia, Washington under high emission scenario RCP 8.5 (ref. 23).

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Affiliations

  1. National Center for Atmospheric Research, Boulder, 80307, Colorado, USA

    Richard W. Katz

  2. University of Glasgow, Glasgow, G12 8QW, UK

    Peter F. Craigmile

  3. Ohio State University, Columbus, 43210, Ohio, USA

    Peter F. Craigmile

  4. University of Washington, Seattle, 98195, Washington, USA

    Peter Guttorp

  5. Norwegian Computing Center, Oslo, NO-0314, Norway

    Peter Guttorp

  6. Pennsylvania State University, University Park, 16802, Pennsylvania, USA

    Murali Haran

  7. University of California at Santa Cruz, Santa Cruz, 95064, California, USA

    Bruno Sansó

  8. University of Chicago, Chicago, 60637, Illinois, USA

    Michael L. Stein

Authors
  1. Richard W. Katz
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  2. Peter F. Craigmile
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  3. Peter Guttorp
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  4. Murali Haran
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  5. Bruno Sansó
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  6. Michael L. Stein
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Corresponding author

Correspondence to Richard W. Katz.

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Katz, R., Craigmile, P., Guttorp, P. et al. Uncertainty analysis in climate change assessments. Nature Clim Change 3, 769–771 (2013). https://doi.org/10.1038/nclimate1980

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