Articles | Volume 12, issue 6
https://doi.org/10.5194/tc-12-2005-2018
https://doi.org/10.5194/tc-12-2005-2018
Research article
 | 
15 Jun 2018
Research article |  | 15 Jun 2018

Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice–ocean data assimilation system

Takuya Nakanowatari, Jun Inoue, Kazutoshi Sato, Laurent Bertino, Jiping Xie, Mio Matsueda, Akio Yamagami, Takeshi Sugimura, Hironori Yabuki, and Natsuhiko Otsuka

Viewed

Total article views: 3,517 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,244 1,139 134 3,517 90 105
  • HTML: 2,244
  • PDF: 1,139
  • XML: 134
  • Total: 3,517
  • BibTeX: 90
  • EndNote: 105
Views and downloads (calculated since 01 Feb 2018)
Cumulative views and downloads (calculated since 01 Feb 2018)

Viewed (geographical distribution)

Total article views: 3,517 (including HTML, PDF, and XML) Thereof 3,152 with geography defined and 365 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Mar 2024
Download
Short summary
Medium-range predictability of early summer sea ice thickness in the East Siberian Sea was examined, based on TOPAZ4 forecast data. Statistical examination indicates that the estimate drops abruptly at 4 days, which is related to dynamical process controlled by synoptic-scale atmospheric fluctuations such as an Arctic cyclone. For longer lead times (> 4 days), the thermodynamic melting process takes over, which represents most of the remaining prediction.