A Spring Barrier for Regional Predictions of Summer Arctic Sea Ice
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2019
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Details
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Journal Title:Geophysical Research Letters
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Description:Seasonal forecast systems can skillfully predict summer Arctic sea ice up to 4 months in advance. For some regions, however, there is a springtime predictability barrier that causes forecasts initialized prior to May to be less skillful. Since this barrier has only been documented in a few general circulation models (GCMs), we evaluate GCMs participating in phase 5 of the Coupled Model Intercomparison Project. We first show sea ice volume skillfully predicts summer sea ice area (SIA) and has similar skill to a perfect model experiment. Given this result, we assess regional SIA predictability across each GCM and find a universal predictability barrier in late spring. For SIA at each summer target month in the marginal seas of the Arctic basin, a notable drop in prediction skill occurs from June to May in each GCM. This suggests summer sea ice forecasts initialized after 1 June will have substantially better prediction skill than forecasts initialized before.
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Source:Geophysical Research Letters, 46(11), 5937-5947
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DOI:
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ISSN:0094-8276 ; 1944-8007
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Rights Information:Other
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Compliance:Library
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Main Document Checksum:urn:sha-512:0fefbb12784902393a721a124cdf7002459ab1c6562b8151346b98c9f42243ac11435f9cc1b0a1c70a6a9c720a23c72befa0458027c7741ee546efba51379164
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