Japan Geoscience Union Meeting 2024

Presentation information

[J] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS11] Mountain Science

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Yoshihiko Kariya(Department of Environmental Geography, Senshu University), Akihiko SASAKI(Department of Geography and Environmental Studies, Kokushikan University), Chiyuki Narama(Niigata University, Program of Field Research in the Environmental Sciences), Motoshi Nishimura(Interdisciplinary Cluster for Cutting Edge Research, Institute for Mountain Science, Shinshu University)

5:15 PM - 6:45 PM

[MIS11-P02] The distribution of snow cover in Kamikochi, the Northern Japanese Alps

*Hikaru Kondo1, Motoshi Nishimura2, Akihiko SASAKI3, Koichi Sakakibara1, Keisuke Suzuki4 (1.Department of Environmental Sciences, Faculty of Science, Shinshu University, 2.Arctic Observation Center, National Institute of Polar Research, 3.Department of Geography and Environmental Studies, Kokushikan University, 4.Research Center for Mountain Environment, Shinshu University)

Keywords:seasonal snow cover, snowfall, alpine region, in-situ observation, Japanese Alps

Snow plays a role of a natural dam, as it is called a white dam. It has been suggested that snow cover variability in mountainous areas may increase with global warming, but there are still few studies on snow cover and snowfall amount variability in mountainous areas based on in-situ observational data. In addition, the factors contributing to local variations in snow cover in mountainous areas remain unexplained. The objective of this study was to assess 1) the variability of snow cover in mountainous areas and 2) the variability of snow cover distribution due to the pressure pattern and winds in the high-elevation basin terrain of the Kamikochi, the Northern Japanese Alps, based on the analysis of site meteorological observation data in the Kamikochi and surrounding synoptic weather during the ten seasons from 2013/14 winter season to 2022/23 winter season. No trend of increase or decrease over time was observed for the period analyzed. In the analyzed period, 2014/15 winter season had the most snowfall amount and the 2015/16 winter season had the least snowfall amount. The highest snow cover was at the highest elevation of the five sites, but the site with the most snowfall amount in a single snowfall event was not always the highest elevation site.