Art

J-GLOBAL ID：202002266504402464   Reference number：20A0601560

Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system

TOPAZ4海氷海洋データ同化システムにおける北極海の夏季の海氷のアンサンブル予測実験

Author (6)： NAKANOWATARI T. (Hokkaido National Fisheries Res. Inst., JPN) ,  XIE J. (Nansen Environmental and Remote Sensing Center, NOR) ,  BERTINO L. (Nansen Environmental and Remote Sensing Center, NOR) ,  MATSUEDA M. (Univ. Tsukuba, JPN) ,  YAMAGAMI A. (Univ. Tsukuba, JPN) ,  INOUE J. (National Inst. Polar Res., JPN)
Material： Proceedings of the International Symposium on Okhotsk Sea & Polar Oceans
Volume： 35th  Page： 92-95  Publication year： Feb. 15, 2020 
JST Material Number： J1594A  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *ensemble forecast ,  *Arctic Ocean ,  data assimilation ,  summer ,  ice thickness ,  *sea ice ,  wind stress
Semi thesaurus term： *ensemble prediction ,  ocean data assimilation ,  summertime ,  sea ice thickness

JST classification (1)： Sea ice  (DC06050C)

Reference (12)：

• Eguíluz, V. M., J. Fernández-Gracia, X. Irigoien, and C. M. Duarte (2016), A quantitative assessment of Arctic shipping in 2010-2014, Sci. Rep., 6, 30682, doi:10.1038/srep30682.
• Fichefet, T. and M. A. Morales Maqueda (1997), Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics, J. Geophys. Res., 102, 12, 609-12, 646, doi:10.1029/97JC00480.
• Hunke, E. C. and J. K. Dukowicz (1997), An elastic-viscous-plastic model for sea ice dynamics, J. Phys. Oceanogr., 27, 1849-1867.
• Marchenko, N. (2012), Russian Arctic Seas. Navigational conditions and accidents. Springer, Berlin, Heidelberg, p. 293.
• Nakanowatari, T., J. Inoue, K. Sato, L. Bertino, J. Xie, M. Matsueda, A. Yamagami, T. Sugimura, H. Yabuki, N. Otsuka (2018), Medium-range predictability of summertime sea ice thickness distribution in the East Siberian Sea on TOPAZ4 data assimilation system, The Cryosphere, 12, 2005-2020, https://doi.org/10.5194/tc-12-2005-2018, 2018.

Terms in the title (6)： 海氷 ,  海洋データ同化 ,  北極海 ,  夏季 ,  アンサンブル予測 ,  実験