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Detecting failure of climate predictions

Author

Listed:
  • Michael C. Runge

    (USGS Patuxent Wildlife Research Center)

  • Julienne C. Stroeve

    (National Snow and Ice Data Center, University of Colorado
    University College London)

  • Andrew P. Barrett

    (National Snow and Ice Data Center, University of Colorado)

  • Eve McDonald-Madden

    (School of Geography, Planning, and Environmental Management, University of Queensland)

Abstract

This study shows how failure to capture system dynamics can be detected in climate model predictions. This information should improve model projections and facilitate better decision-making.

Suggested Citation

  • Michael C. Runge & Julienne C. Stroeve & Andrew P. Barrett & Eve McDonald-Madden, 2016. "Detecting failure of climate predictions," Nature Climate Change, Nature, vol. 6(9), pages 861-864, September.
    • Handle: RePEc:nat:natcli:v:6:y:2016:i:9:d:10.1038_nclimate3041
    DOI: 10.1038/nclimate3041
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    Cited by:

    1. Kelsey L. Ruckert & Yawen Guan & Alexander M. R. Bakker & Chris E. Forest & Klaus Keller, 2017. "The effects of time-varying observation errors on semi-empirical sea-level projections," Climatic Change, Springer, vol. 140(3), pages 349-360, February.

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