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

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...

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Main Authors: Francis X. Diebold, Glenn D. Rudebusch
Format: Report
Language:unknown
Subjects:
Online Access:http://arxiv.org/pdf/1912.10774
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spelling ftrepec:oai:RePEc:arx:papers:1912.10774 2024-04-14T08:05:58+00:00 Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections Francis X. Diebold Glenn D. Rudebusch http://arxiv.org/pdf/1912.10774 unknown http://arxiv.org/pdf/1912.10774 preprint ftrepec 2024-03-19T10:38:04Z 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. Report Arctic Arctic Ocean Climate change Sea ice RePEc (Research Papers in Economics) Arctic Arctic Ocean
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description 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.
format Report
author Francis X. Diebold
Glenn D. Rudebusch
spellingShingle Francis X. Diebold
Glenn D. Rudebusch
Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
author_facet Francis X. Diebold
Glenn D. Rudebusch
author_sort Francis X. Diebold
title Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
title_short Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
title_full Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
title_fullStr Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
title_full_unstemmed Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections
title_sort probability assessments of an ice-free arctic: comparing statistical and climate model projections
url http://arxiv.org/pdf/1912.10774
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Climate change
Sea ice
genre_facet Arctic
Arctic Ocean
Climate change
Sea ice
op_relation http://arxiv.org/pdf/1912.10774
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