日本地球惑星科学連合2022年大会

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS01] 東アジアの異常天候・都市災害と気候変動との関わり

2022年5月29日(日) 11:00 〜 13:00 オンラインポスターZoom会場 (6) (Ch.06)

コンビーナ:Inatsu Masaru(北海道大学大学院理学研究院)、コンビーナ:高薮 縁(東京大学 大気海洋研究所)、Chairperson:Masaru Inatsu(北海道大学大学院理学研究院)

11:00 〜 13:00

[AAS01-P02] Trends and projection of heavy snowfall in Hokkaido, Japan, as an application of self-organizing map

*稲津 將1、川添 祥1森 正人2 (1.北海道大学大学院理学研究院、2.九州大学応用力学研究所)

キーワード:降雪、天気図パターン、自己組織化写像

This paper showed the frequency of local-scale heavy winter snowfall in Hokkaido, Japan, its historical change, and its response to global warming using self-organizing maps (SOM) of synoptic-scale sea level pressure anomaly. Heavy snowfall days were here defined as days on which the snowfall exceeded 10mmin water equivalent. It was shown that the SOMs can be grouped into three categories for heavy snowfall days: 1) a passage of extratropical cyclones to the south of Hokkaido, 2) a pressure pattern between the Siberian high and the Aleutian low, and 3) a low pressure anomaly just to the east of Hokkaido. Groups 1 and 2 were associated with heavy snowfall in Hiroo (located in southeastern Hokkaido) and in Iwamizawa (western Hokkaido), respectively, and heavy snowfall in Sapporo (western Hokkaido) was related to group 3. The large-ensemble historical simulation reproduced the observed increasing trend in group 2, and future projections revealed that group 2 was related to a negative phase of the western Pacific pattern and that the frequency of this group would increase in the future. Heavy snowfall days associated with SOM group 2 would also increase as a result of the increase in water vapor and preferable weather patterns in a globally warming climate, in contrast to the decrease of heavy snowfall days at other sites associated with SOM group 1.