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: 2,894 (including HTML, PDF, and XML)
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2,222
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PDF: 570
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Total: 2,894
BibTeX: 136
EndNote: 182
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Total article views: 2,163 (including HTML, PDF, and XML)
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1,809
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67
2,163
82
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HTML: 1,809
PDF: 287
XML: 67
Total: 2,163
BibTeX: 82
EndNote: 144
Views and downloads (calculated since 03 Jul 2024)
Cumulative views and downloads
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Total article views: 731 (including HTML, PDF, and XML)
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413
283
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731
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HTML: 413
PDF: 283
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Total: 731
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: 2,894 (including HTML, PDF, and XML)
Thereof 2,800 with geography defined
and 94 with unknown origin.
Total article views: 2,163 (including HTML, PDF, and XML)
Thereof 2,086 with geography defined
and 77 with unknown origin.
Total article views: 731 (including HTML, PDF, and XML)
Thereof 714 with geography defined
and 17 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...