Ice–ocean coupled computations for sea-ice prediction to support ice navigation in Arctic sea routes

Polar research

Hajime Yamaguchi¹  Jun Ono²  Liyanarachchi Waruna Arampath De Silva⁴ 

[1] Graduate School of Frontier SciencesUniversity of Tokyo, 5-1-5 Kashiwanoha, Kashiwa 277-8561, JapanCorrespondence;Graduate School of Frontier SciencesUniversity of Tokyo, 5-1-5 Kashiwanoha, Kashiwa 277-8561, Japan;Japan Agency for Marine–Earth Science and Technology, 3173-25, Showa-machi, Yokohama, Kanagawa 236-0001, Japan;National Institute of Polar Research, 10-3 Midori-cho, Tachikawa, Tokyo 190-8518, Japan

关键词: Arctic sea ice;    numerical simulation;    floe collision;    Arctic sea routes;   

DOI  :  10.3402/polar.v34.25008

学科分类：自然科学（综合）

来源: Co-Action Publishing

【 摘 要 】

With the recent rapid decrease in summer sea ice in the Arctic Ocean extending the navigation period in the Arctic sea routes (ASR), the precise prediction of ice distribution is crucial for safe and efficient navigation in the Arctic Ocean. In general, however, most of the available numerical models have exhibited significant uncertainties in short-term and narrow-area predictions, especially in marginal ice zones such as the ASR. In this study, we predict short-term sea-ice conditions in the ASR by using a mesoscale eddy-resolving ice–ocean coupled model that explicitly treats ice floe collisions in marginal ice zones. First, numerical issues associated with collision rheology in the ice–ocean coupled model (ice–Princeton Ocean Model [POM]) are discussed and resolved. A model for the whole of the Arctic Ocean with a coarser resolution (about 25 km) was developed to investigate the performance of the ice–POM model by examining the reproducibility of seasonal and interannual sea-ice variability. It was fo...

【 授权许可】

CC BY-NC