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Statistical problems in the probabilistic prediction of climate change

Author

Listed:
  • Peter Guttorp
  • Stephan R. Sain
  • Christopher K. Wikle
  • David B. Stephenson
  • Matthew Collins
  • Jonathan C. Rougier
  • Richard E. Chandler

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Guttorp & Stephan R. Sain & Christopher K. Wikle & David B. Stephenson & Matthew Collins & Jonathan C. Rougier & Richard E. Chandler, 2012. "Statistical problems in the probabilistic prediction of climate change," Environmetrics, John Wiley & Sons, Ltd., vol. 23(5), pages 364-372, August.
    • Handle: RePEc:wly:envmet:v:23:y:2012:i:5:p:364-372
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    Cited by:

    1. Timothy Osborn & Craig Wallace & Ian Harris & Thomas Melvin, 2016. "Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation," Climatic Change, Springer, vol. 134(3), pages 353-369, February.
    2. Timothy J. Osborn & Craig J. Wallace & Ian C. Harris & Thomas M. Melvin, 2016. "Pattern scaling using ClimGen: monthly-resolution future climate scenarios including changes in the variability of precipitation," Climatic Change, Springer, vol. 134(3), pages 353-369, February.
    3. Julie E. Shortridge & Benjamin F. Zaitchik, 2018. "Characterizing climate change risks by linking robust decision frameworks and uncertain probabilistic projections," Climatic Change, Springer, vol. 151(3), pages 525-539, December.
    4. Esther Salazar & Dorit Hammerling & Xia Wang & Bruno Sansó & Andrew O. Finley & Linda O. Mearns, 2016. "Observation-based blended projections from ensembles of regional climate models," Climatic Change, Springer, vol. 138(1), pages 55-69, September.
    5. Julie Shortridge & Janey Smith Camp, 2019. "Addressing Climate Change as an Emerging Risk to Infrastructure Systems," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 959-967, May.

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