日本地球惑星科学連合2025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-HW 水文・陸水・地下水学・水環境

[A-HW28] 水循環・水環境

2025年5月28日(水) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:濱 侃(千葉大学大学院園芸学研究院)、榊原 厚一(信州大学理学部理学科)、林 武司(秋田大学教育文化学部)、福士 圭介(金沢大学環日本海域環境研究センター)

17:15 〜 19:15

[AHW28-P06] Assessing Changes in Snow Depth and Snow Water Equivalent in Japanese Mountains Over 25 Years

*砂子 宗次朗1、山口 悟1、伊藤 陽一1、山下 克也1、荒川 逸人2、根本 正樹2 (1.防災科学技術研究所雪氷防災研究センター、2.防災科学技術研究所雪氷防災研究センター新庄雪氷環境実験所)

キーワード:Snow water equivalent、Mountain snow、Hydrological resources

Mountain snow in Japan plays a crucial role as a water resource that supplements water supply. Recent climate change is expected to alter snow conditions, making it essential to understand these changes and their impacts. However, snow and meteorological observations in mountainous regions face significant challenges due to severe winter weather conditions, and there are only a limited number of previous studies with long-term observations. As a result, long-term and extensive observational data necessary for understanding snow conditions remain insufficient.
The Snow and Ice Research Center (SIRC) of the National Research Institute for Earth Science and Disaster Resilience has operated a snow and weather observation network for over 25 years. This network spans a wide area from northern to western Japan, monitoring variations in meteorological and snow conditions at high elevations. This study aims to statistically analyze the long-term observational data to gain a comprehensive understanding of recent changes in snow conditions in Japan’s mountainous regions. In particular, we focus on the variation characteristics of maximum snow depth and snow water equivalent.
The observation sites are distributed from Aomori Prefecture (40.655°N, 140.293°E) to Tottori Prefecture (35.340°N, 133.582°E), covering an elevation range of 98 m to 1310 m. The analysis showed that although the trends in maximum snow depth and snow water equivalent are similar, the fluctuations in snow water equivalent are more pronounced than those in snow depth. Although not statistically significant, a decreasing trend in maximum snow depth has been observed at nearly all observation sites in recent years. Furthermore, maximum snow depth strongly depends on elevation, showing different trends between mountainous and low-elevation areas. Detailed results on the influence of climate change on mountain snow conditions will be discussed in the presentation.