JpGU-AGU Joint Meeting 2017

Presentation information

[EJ] Oral

A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG48] [EJ] Science in the Arctic Region

Wed. May 24, 2017 1:45 PM - 3:15 PM 304 (International Conference Hall 3F)

convener:Masato Mori(Research Center for Advanced Science and Technology, the University of Tokyo), Shun Tsutaki(Japan Aerospace Exploration Agency), Shunsuke Tei(Arctic Research Center, Hokkaido University), NAOYA KANNA(Arctic Research Center, Hokkaido University), Chairperson:Masato Mori(Research Center for Advanced Science and Technology, the University of Tokyo), Chairperson:Shun Tsutaki(Japan Aerospace Exploration Agency, Japan Aerospace Exploration Agency)

2:00 PM - 2:15 PM

[ACG48-14] Evaluation of Atmospheric Response to Arctic Sea Ice Anomalies

*Masato Mori1 (1.Research Center for Advanced Science and Technology, the University of Tokyo)

Keywords:sea ice, the Arctic, cold winter

During the last decade, severe winters occurred frequently in mid-latitude Eurasia, despite increasing global- and annual-mean surface air temperature. Statistical analyses of observational data have suggested that some part of these cold winters were forced by Arctic sea-ice decline. However, numerical modelling studies have shown different conclusion depending on the used model and experimental settings, and whether or not the cause is due to sea ice reduction is controversial. Therefore, it is important to clarify the cause of the diversity of simulation results, especially the extent to which sea ice anomaly controls the atmospheric circulation.
In this research, we successfully detected the signature of Eurasian cold winters excited by sea-ice decline in the Barents-Kara Sea, by generating a four kind of long-term historical and large-member ensemble simulation based on atmospheric general circulation model (AGCM). The sea ice reduction tends to increase occurrence frequency of cold winter over the central Eurasia, but its effect may have been underestimated in the AGCM. We conclude that this is one of the big reasons that conclusion change depending on model experiments.