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
Viewed
Total article views: 3,112 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,358
637
117
3,112
158
206
HTML: 2,358
PDF: 637
XML: 117
Total: 3,112
BibTeX: 158
EndNote: 206
Views and downloads (calculated since 28 Aug 2023)
Cumulative views and downloads
(calculated since 28 Aug 2023)
Total article views: 2,329 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,918
333
78
2,329
103
168
HTML: 1,918
PDF: 333
XML: 78
Total: 2,329
BibTeX: 103
EndNote: 168
Views and downloads (calculated since 03 Jul 2024)
Cumulative views and downloads
(calculated since 03 Jul 2024)
Total article views: 783 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
440
304
39
783
55
38
HTML: 440
PDF: 304
XML: 39
Total: 783
BibTeX: 55
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: 3,112 (including HTML, PDF, and XML)
Thereof 3,006 with geography defined
and 106 with unknown origin.
Total article views: 2,329 (including HTML, PDF, and XML)
Thereof 2,245 with geography defined
and 84 with unknown origin.
Total article views: 783 (including HTML, PDF, and XML)
Thereof 761 with geography defined
and 22 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...