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When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume

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  • Diebold, Francis X.
  • Rudebusch, Glenn D.
  • Göbel, Maximilian
  • Goulet Coulombe, Philippe
  • Zhang, Boyuan

Abstract

Rapidly diminishing Arctic summer sea ice is a strong signal of the pace of global climate change. We provide point, interval, and density forecasts for four measures of Arctic sea ice: area, extent, thickness, and volume. Importantly, we enforce the joint constraint that these measures must simultaneously arrive at an ice-free Arctic. We apply this constrained joint forecast procedure to models relating sea ice to atmospheric carbon dioxide concentration and models relating sea ice directly to time. The resulting “carbon-trend” and “time-trend” projections are mutually consistent and predict a nearly ice-free summer Arctic Ocean by the mid-2030s with an 80% probability. Moreover, the carbon-trend projections show that global adoption of a lower carbon path would likely delay the arrival of a seasonally ice-free Arctic by only a few years.

Suggested Citation

  • Diebold, Francis X. & Rudebusch, Glenn D. & Göbel, Maximilian & Goulet Coulombe, Philippe & Zhang, Boyuan, 2023. "When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume," Journal of Econometrics, Elsevier, vol. 236(2).
    • Handle: RePEc:eee:econom:v:236:y:2023:i:2:s0304407623001951
    DOI: 10.1016/j.jeconom.2023.105479
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    References listed on IDEAS

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    1. Diebold, Francis X. & Rudebusch, Glenn D., 2022. "Probability assessments of an ice-free Arctic: Comparing statistical and climate model projections," Journal of Econometrics, Elsevier, vol. 231(2), pages 520-534.
    2. Sarah W. Cooley & Jonathan C. Ryan & Laurence C. Smith & Chris Horvat & Brodie Pearson & Brigt Dale & Amanda H. Lynch, 2020. "Coldest Canadian Arctic communities face greatest reductions in shorefast sea ice," Nature Climate Change, Nature, vol. 10(6), pages 533-538, June.
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    Cited by:

    1. B. Cooper Boniece & Lajos Horv'ath & Lorenzo Trapani, 2023. "On changepoint detection in functional data using empirical energy distance," Papers 2310.04853, arXiv.org.

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    More about this item

    Keywords

    Climate change; Cryosphere; Climate prediction; Climate forecasting; Carbon dioxide concentration; Carbon emissions;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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