Incorporation of satellite-derived thin-ice data into a global OGCM simulation

Incorporation of satellite-derived thin-ice data into a global OGCM simulation
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将卫星衍生的薄冰数据纳入全球 OGCM 模拟

DOI:
10.1007/s00382-019-04979-8
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发表时间:
2019
期刊:
影响因子:
4.6
通讯作者:
Jinro Ukita
Jinro Ukita
中科院分区:
地球科学2区
文献类型:
--
作者:
Takahiro Toyoda;Katsushi Iwamoto;L. Shogo Urakawa;Hiroyuki Tsujino;Hideyuki Nakano;Kei Sakamoto;Goro Yamanaka;Yoshiki Komuro;Shigeto Nishino;Jinro Ukita

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薄海冰的存在表明极地海洋的冻结条件很活跃。我们提出了一个简单而有效的方法,将信息的薄冰类耦合海洋海冰模式模拟。在我们的方法中,薄冰的分布限制厚冰的范围,并通过海冰约束大气-海洋热交换。我们的模型模拟与卫星获得的北冰洋的薄冰数据的合并表明,海冰和上层海洋领域,包括海冰厚度在加拿大群岛和格陵兰岛北部地区,混合层的深度在北极中部,并在开放的海洋表层盐度的代表性大大提高。由于薄冰数据限制,海冰产量增加,北冰洋海冰总体积增加了-km 3。随后的海冰融化也得到了加强,导致季节性周期的振幅增加了约km 3(没有加入薄冰数据的实验基线值的15%)。总的来说,我们的研究结果表明,卫星派生的薄海冰信息的合并有很大的潜力,改善耦合海洋海冰模拟。
The presence of thin sea ice is indicative of active freezing conditions in the polar ocean. We propose a simple yet effective method to incorporate information of thin-ice category into coupled ocean–sea-ice model simulations. In our approach, the thin-ice distribution restricts thick-ice extent and constrains atmosphere–ocean heat exchange through the sea ice. Our model simulation with the incorporation of satellite-derived thin-ice data for the Arctic Ocean showed much improved representation of sea-ice and upper-ocean fields, including sea-ice thickness in the Canadian Archipelago and the region north of Greenland, mixed-layer depth over the Central Arctic, and surface-layer salinity over the open ocean. Enhanced sea-ice production by the thin-ice data constraint increased the total sea-ice volume of the Arctic Ocean by–km3. Subsequent sea-ice melting was also enhanced, leading to the greater amplitude of the seasonal cycle by approximatelykm3(15% of the baseline value from the experiment without the thin-ice data incorporation). Overall, our results demonstrate that the incorporation of satellite-derived information on thin sea ice has great potential for the improvement of coupled ocean–sea-ice simulations.
使用 AMSR-E 薄冰厚度算法绘制北冰洋海冰生成图
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