Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections

31 Pages Posted: 21 Dec 2020 Last revised: 18 Aug 2024

See all articles by Francis X. Diebold

Francis X. Diebold

University of Pennsylvania - Department of Economics; National Bureau of Economic Research (NBER)

Glenn D. Rudebusch

Federal Reserve Bank of San Francisco

Multiple version iconThere are 2 versions of this paper

Date Written: December 2020

Abstract

The downward trend in the amount of Arctic sea ice has a wide range of environmental and economic consequences including important effects on the pace and intensity of global climate change. Based on several decades of satellite data, we provide statistical forecasts of Arctic sea ice extent during the rest of this century. The best fitting statistical model indicates that overall sea ice coverage is declining at an increasing rate. By contrast, average projections from the CMIP5 global climate models foresee a gradual slowing of Arctic sea ice loss even in scenarios with high carbon emissions. Our long-range statistical projections also deliver probability assessments of the timing of an ice-free Arctic. These results indicate almost a 60 percent chance of an effectively ice-free Arctic Ocean sometime during the 2030s—much earlier than the average projection from the global climate models.

Suggested Citation

Diebold, Francis X. and Rudebusch, Glenn D., Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections (December 2020). NBER Working Paper No. w28228, Available at SSRN: https://ssrn.com/abstract=3753138

Francis X. Diebold (Contact Author)

University of Pennsylvania - Department of Economics ( email )

Ronald O. Perelman Center for Political Science
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National Bureau of Economic Research (NBER)

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Glenn D. Rudebusch

Federal Reserve Bank of San Francisco ( email )

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