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Modeling seasonal onset of coastal ice

Author

Listed:
  • Xialong Ji

    (University of Michigan)

  • Andrew D. Gronewold

    (NOAA Great Lakes Environmental Research Laboratory)

  • Houraa Daher

    (University of Miami)

  • Richard B. Rood

    (University of Michigan)

Abstract

To support regional management planning decisions, and to protect human health and safety, we developed a new statistical model that simulates the onset of seasonal ice cover along the shoreline of a US National Park (the Apostle Islands National Lakeshore, or APIS). Our model encodes relationships between different modes of climate variability and regional ice cover from 1972 to 2015, and successfully simulates both the timing of ice onset and the probability that ice cover might form at all in a particular winter season. We simulate both of these endpoints using a novel combination of statistical hazard (or survival) and beta regression models. Our analysis of coastal ice cover along the APIS reinforces findings from previous research suggesting that the late 1990s signified a regime shift in climate conditions across North America. Before this period, coastal ice cover conditions at the APIS were often suitable for pedestrian access, while after this period coastal ice cover at the APIS has been highly variable. Our new model accommodates this regime shift, and provides a stepping stone towards a broad range of applications of similar models for supporting regional management decisions in light of evolving climate conditions.

Suggested Citation

  • Xialong Ji & Andrew D. Gronewold & Houraa Daher & Richard B. Rood, 2019. "Modeling seasonal onset of coastal ice," Climatic Change, Springer, vol. 154(1), pages 125-141, May.
  • Handle: RePEc:spr:climat:v:154:y:2019:i:1:d:10.1007_s10584-019-02400-1
    DOI: 10.1007/s10584-019-02400-1
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    References listed on IDEAS

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    1. Lacey A. Mason & Catherine M. Riseng & Andrew D. Gronewold & Edward S. Rutherford & Jia Wang & Anne Clites & Sigrid D. P. Smith & Peter B. McIntyre, 2016. "Fine-scale spatial variation in ice cover and surface temperature trends across the surface of the Laurentian Great Lakes," Climatic Change, Springer, vol. 138(1), pages 71-83, September.
    2. Ronald L. Wasserstein & Nicole A. Lazar, 2016. "The ASA's Statement on p -Values: Context, Process, and Purpose," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 129-133, May.
    3. Matthew H. England & Shayne McGregor & Paul Spence & Gerald A. Meehl & Axel Timmermann & Wenju Cai & Alex Sen Gupta & Michael J. McPhaden & Ariaan Purich & Agus Santoso, 2014. "Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus," Nature Climate Change, Nature, vol. 4(3), pages 222-227, March.
    4. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
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    Cited by:

    1. Rafael Almar & Julien Boucharel & Marcan Graffin & Gregoire Ondoa Abessolo & Gregoire Thoumyre & Fabrice Papa & Roshanka Ranasinghe & Jennifer Montano & Erwin W. J. Bergsma & Mohamed Wassim Baba & Fei, 2023. "Influence of El Niño on the variability of global shoreline position," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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