NOAA Global Systems Laboratory, Boulder, Colorado, USA
Amy Solomon
Cooperative Institute for Research in Environmental Sciences and NOAA Physical Sciences Laboratory, University of Colorado Boulder, Boulder, Colorado, USA
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Total article views: 2,790 (including HTML, PDF, and XML)
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2,155
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2,790
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175
HTML: 2,155
PDF: 537
XML: 98
Total: 2,790
BibTeX: 131
EndNote: 175
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Total article views: 2,083 (including HTML, PDF, and XML)
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1,750
270
63
2,083
77
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HTML: 1,750
PDF: 270
XML: 63
Total: 2,083
BibTeX: 77
EndNote: 137
Views and downloads (calculated since 03 Jul 2024)
Cumulative views and downloads
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Total article views: 707 (including HTML, PDF, and XML)
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405
267
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707
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HTML: 405
PDF: 267
XML: 35
Total: 707
BibTeX: 54
EndNote: 38
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Viewed (geographical distribution)
Total article views: 2,790 (including HTML, PDF, and XML)
Thereof 2,699 with geography defined
and 91 with unknown origin.
Total article views: 2,083 (including HTML, PDF, and XML)
Thereof 2,010 with geography defined
and 73 with unknown origin.
Total article views: 707 (including HTML, PDF, and XML)
Thereof 689 with geography defined
and 18 with unknown origin.
The study brings to light the suitability of CICE for seasonal prediction being contingent on several factors, such as initial conditions like sea ice coverage and thickness, as well as atmospheric and oceanic conditions including oceanic currents and sea surface temperature. We show there is potential to improve seasonal forecasting by using a more reliable sea ice thickness initialization. Thus, data assimilation of sea ice thickness is highly relevant for advancing seasonal prediction skills.
The study brings to light the suitability of CICE for seasonal prediction being contingent on...