JpGU-AGU Joint Meeting 2017

Presentation information

[JJ] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS21] [JJ] Arctic and Antarctic Science and Future Plan

Wed. May 24, 2017 3:30 PM - 5:00 PM 304 (International Conference Hall 3F)

convener:Takuji Nakamura(National Institute of Polar Research), Atsuko Sugimoto(Arctic Research Center, Hokkaido University), Shin Sugiyama(Institute of Low Temperature Science, Hokkaido University), Chairperson:Tetsuo Sueyoshi(National Institute of Polar Research), Chairperson:Takuji Nakamura(National Institute of Polar Research)

4:30 PM - 4:45 PM

[MIS21-05] Japanese contribution to the Year of Polar Prediction (YOPP)

*Jun Inoue1,2, Naohiko Hirasawa1, Tetsuo Sueyoshi1 (1.National Institute of Polar Research, 2.Japan Agency for Marine-Eeath Science and Technology)

Keywords:Arctic & Antarctic, numerical predictions for weather and sea ice, observations & modelings

To evaluate the impact of additional observation on the predictability of weather and sea-ice patterns at high latitude and beyond, Japan has contributed to establishing an experimental Arctic observing network as part of an international collaboration. It was shown that the incorporation of additional Arctic observations improves the initial analysis and enhances the skill of weather and sea-ice forecasts. Based on these achievements, Japan will extend this activity during the Year of Polar Prediction (YOPP), from mid-2017 to mid-2019, under the Japanese flagship projects, called ArCS (Arctic Challenge for Sustainability) and JARE (Japanese Antarctic Research Expedition). Using a data assimilation technique and observation data obtained from ships, land stations and drifting buoys under international collaborations, the impact of additional polar observations on predicting extreme evens in local (e.g. along Northern Sea Route) and remote regions (e.g. extreme weather events at mid-latitudes) will be assessed, contributing to optimizing a sustainable polar observing network on a cost-benefit basis.