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: 2,733 (including HTML, PDF, and XML)
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2,111
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PDF: 525
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Total: 2,733
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EndNote: 172
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Total article views: 2,038 (including HTML, PDF, and XML)
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1,711
265
62
2,038
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HTML: 1,711
PDF: 265
XML: 62
Total: 2,038
BibTeX: 75
EndNote: 134
Views and downloads (calculated since 03 Jul 2024)
Cumulative views and downloads
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Total article views: 695 (including HTML, PDF, and XML)
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400
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HTML: 400
PDF: 260
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Total: 695
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: 2,733 (including HTML, PDF, and XML)
Thereof 2,640 with geography defined
and 93 with unknown origin.
Total article views: 2,038 (including HTML, PDF, and XML)
Thereof 1,963 with geography defined
and 75 with unknown origin.
Total article views: 695 (including HTML, PDF, and XML)
Thereof 677 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...