Japan Geoscience Union Meeting 2018

Presentation information

[EJ] Evening Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS06] Global climate change driven by the Southern Ocean and the Antarctic Ice Sheet

Mon. May 21, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Osamu Seki(Institute of Low Temperature Science, Hokkaido University), Akira Oka(Atmosphere and Ocean Research Institute, The University of Tokyo), Ryosuke Makabe(国立極地研究所, 共同), Ryu Uemura(University of the Ryukyus)

[MIS06-P13] Spatial and temporal variability of surface snow accumulation along the JARE traverse route for 1992−2013

*Shun Tsutaki1, Ayako Abe-Ouchi1,2, Hideaki Motoyama3,4, Kenji Kawamura3,4, Sam Sherriff-Tadano1 (1.The University of Tokyo, 2.JAMSTEC, 3.National Institute of Polar Research, 4.SOKENDAI)

Keywords:Antarctica, Ice sheet, mass balance

Satellite-based observations revealed the recent mass loss of the Antarctic ice sheet, and there is concern about its influence on sea level rise. Although significant mass loss has been reported in West Antarctica, spatial and temporal variability of surface mass balance is poorly understood in East Antarctica where the ice volume is more than 10 times, due to complexity in snow accumulation in space and time, resulting in relatively large uncertainty to quantify ongoing and future mass loss from the Antarctic ice sheet. Therefore, it is important to accurately quantify surface snow accumulation in East Antarctica. Surface snow accumulation has been measured along the traverse route between coastal point (S16) and the inland Dome Fuji region as a part of the Japanese Antarctic Research Expedition (JARE) since 1992. Net snow accumulation was measured by the stake method at approximately 500 points every 2 km. In this study, we re-evaluate spatial and temporal variability of surface snow accumulation between S16 and Dome Fuji region during the period of 1992−2013. Uncertainty of the snow accumulation measurements is discussed by the accumulation data obtained from 6 stake farms and 2 stake rows along the survey route. Spatiotemporal variability of snow accumulation is discussed with surface slope of the ice sheet derived from a satellite-based digital elevation model (DEM) with 10 km resolution in order to evaluate the influence of surface topography on snow accumulation. In addition, we compare the in-situ accumulation data with mean annual precipitation used in numerical modelling and discuss the characteristics of accumulation in the region.