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

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 an...

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Veröffentlicht in:Climate dynamics 2019-12, Vol.53 (11), p.7113-7130
Hauptverfasser: Toyoda, Takahiro, Iwamoto, Katsushi, Urakawa, L. Shogo, Tsujino, Hiroyuki, Nakano, Hideyuki, Sakamoto, Kei, Yamanaka, Goro, Komuro, Yoshiki, Nishino, Shigeto, Ukita, Jinro
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Sprache:eng
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Zusammenfassung: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 5 × 10 3 – 10 × 10 3  km 3 . Subsequent sea-ice melting was also enhanced, leading to the greater amplitude of the seasonal cycle by approximately 2 × 10 3  km 3 (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.
ISSN:0930-7575
1432-0894
DOI:10.1007/s00382-019-04979-8