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New vigour involving statisticians to overcome ensemble fatigue

Author

Listed:
  • Rasmus Benestad

    (Research and Development, The Norwegian Meteorological institute)

  • Jana Sillmann

    (Center for International Climate Research Oslo)

  • Thordis Linda Thorarinsdottir

    (Norwegian Computing Center)

  • Peter Guttorp

    (Norwegian Computing Center
    University of Washington, Statistics)

  • Michel d. S. Mesquita

    (Uni Research Climate, Bjerknes Centre for Climate Research)

  • Mari R. Tye

    (National Center for Atmospheric Research, Capacity Center for Climate and Weather Extremes, Mesoscale and Microscale Meteorology Laboratory)

  • Petteri Uotila

    (Finnish Meteorological Institute, Climate Research)

  • Cathrine Fox Maule

    (Statistics Denmark, Research Services)

  • Peter Thejll

    (Danish Meteorological Institute)

  • Martin Drews

    (Systems Analysis, Technical University of Denmark)

  • Kajsa M. Parding

    (The Norwegian Meteorological Institute)

Abstract

This Perspective considers how to better use and explore climate model output, considering whether statisticians can help achieve better design of ensembles and interpretation of output.

Suggested Citation

  • Rasmus Benestad & Jana Sillmann & Thordis Linda Thorarinsdottir & Peter Guttorp & Michel d. S. Mesquita & Mari R. Tye & Petteri Uotila & Cathrine Fox Maule & Peter Thejll & Martin Drews & Kajsa M. Par, 2017. "New vigour involving statisticians to overcome ensemble fatigue," Nature Climate Change, Nature, vol. 7(10), pages 697-703, October.
  • Handle: RePEc:nat:natcli:v:7:y:2017:i:10:d:10.1038_nclimate3393
    DOI: 10.1038/nclimate3393
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    Cited by:

    1. 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.
    2. Piyush Jain & Mari R. Tye & Debasish Paimazumder & Mike Flannigan, 2020. "Downscaling fire weather extremes from historical and projected climate models," Climatic Change, Springer, vol. 163(1), pages 189-216, November.

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