JpGU-AGU Joint Meeting 2020

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-AS02] 東アジアの異常天候・都市災害と気候変動との関わり

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

[AAS02-P05] Impacts of climate change on heavy wet snowfall in Japan: differences among wether patterns

*大庭 雅道1杉本 聡一郎1 (1.電力中央研究所)

キーワード:大気着氷雪、気候変動、豪湿雪、自己組織化マップ、気象パターン、湿着雪

Wet snow is a primary cause of atmospheric icing, which can lead to severe damage to power towers and lines, resulting in electrical breakdowns and blackouts. This study investigated the influence of climate change on heavy wet snowfall events during the winter season in Japan. Self-organizing maps (SOMs) were used to explore the weather patterns (WPs) associated with changes in heavy wet snowfall. This study used climate projections obtained from the database for Policy Decision-making for Future climate change (d4PDF) to investigate the impacts of climate change on wet snowfall in Japan. The SOM technique was applied using the surface atmospheric circulation to determine the dominant heavy wet snowfall WP. The SOMs showed that some WPs had a significant effect on the magnitude, frequency, and location of heavy wet snowfall in Japan. The projected changes in the amount of heavy wet snowfall showed a nonuniform spatial distribution. Additionally, the impact of climate forcing on WPs associated with heavy wet snowfall was evaluated to understand the spatially heterogeneous changes in wet snowfall. The SOM analysis results suggest that the future changes in spatially heterogeneous extreme wet snowfall can be attributed to differences in WP responses to climate change. These differences can be attributed to the future variations in the region of the atmospheric layer at temperatures near 0 °C (rain-snow transition layer) among WPs, which can alter the spatial distribution and frequency of heavy wet snowfall. The findings can help inform structural design requirements to withstand regional climate change.