13:45 〜 14:00
[AOS09-01] Beyond day 2: Variable-resolution convective-scale prediction on medium-range, subseasonal, and longer timescales.
★Invited Papers
*Lucas Harris1 (1.NOAA/Geophysical Fluid Dynamics Laboratory)
[E] 口頭発表
セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境
2021年6月3日(木) 13:45 〜 15:15 Ch.09 (Zoom会場09)
コンビーナ:森岡 優志(海洋研究開発機構)、Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research)、中野 満寿男(海洋研究開発機構)、V Ramaswamy(NOAA GFDL)、座長:Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research)、中野 満寿男(海洋研究開発機構)
Climate variability on subseasonal-multidecadal timescales (e.g. Madden-Julian Oscillation, ENSO, Indian Ocean Dipole, Pacific Decadal Variability, Atlantic Multidecadal Variability) has serious impacts on global and regional socioeconomic activities through changes in intensity and frequency of extreme weather events (e.g. cold/heat waves, tropical storms, and floods/droughts). Efforts have been made to understand and predict subseasonal-multidecadal climate variability, but climate simulations and predictions using state-of-the-art coupled general circulation models have biases that represent large uncertainties in amplitude and spatial patterns of the climate variability. The model uncertainties arise from multiple factors such as inadequate understanding of weather and climate interactions across different spatiotemporal scales (e.g. tropical cyclones-ENSO) and insufficient representation of the complex and non-linear climate system (e.g. troposphere-stratosphere coupling, atmosphere-ocean-sea ice-land interactions). Recently, Coupled Model Intercomparison Project Phase 6 (CMIP6) has opened up new model simulation datasets to the public, which can be expected to further advance our understanding and prediction of subseasonal-multidecadal climate variability under the changing climate. This session invites all research related to the subseasonal-multidecadal climate variability using observational, theoretical, modelling and AI/ML frameworks and especially novel approaches.
13:45 〜 14:00
*Lucas Harris1 (1.NOAA/Geophysical Fluid Dynamics Laboratory)
14:00 〜 14:15
*高須賀 大輔1、神山 翼1、末松 環2、三浦 裕亮3 (1.お茶の水女子大学理学部情報科学科、2.東京大学大気海洋研究所、3.東京大学大学院理学系研究科地球惑星科学専攻)
14:15 〜 14:30
*Shreya Dhame1、Andrea Taschetto1、Agus Santoso1,2、Giovanni Liguori3、Katrin Meissner1 (1.ARC Centre of Excellence for Climate Extremes, Climate Change Research Centre, University of New South Wales, Sydney, Australia、2.Centre for Southern Hemisphere Oceans Research (CSHOR), CSIRO Oceans and Atmosphere, Hobart, Australia、3.ARC Centre of Excellence for Climate Extremes, School of Earth, Atmosphere and Environment, Monash University, Melbourne, Australia)
14:30 〜 14:45
*Yu Zhang1,2、Shiyun Yu1,2、Dillon J. Amaya3、Yu Kosaka4、Sarah M. Larson5、Xudong Wang6、Jun-Chao Yang1,2、Malte F. Stuecker7、Shang-Ping Xie8、Arthur J. Miller8、Xiaopei Lin1,2 (1.Ocean University of China、2.Qingdao National Laboratory for Marine Science and Technology、3.University of Colorado Boulder、4.The University of Tokyo、5.North Carolina State University、6.Nanjing University of Information Science and Technology、7.University of Hawai'i at Mānoa、8.University of California San Diego)
14:45 〜 15:00
*Jun-Chao Yang1,2、Xiaopei Lin1,2、Shang-Ping Xie3、Yu Zhang1,2、Yu Kosaka4、Ziguang Li1,2 (1.Frontiers Science Center for Deep Ocean Multispheres and Earth System and Physical Oceanography Laboratory, Ocean University of China、2.Qingdao National Laboratory for Marine Science and Technology、3.Scripps Institution of Oceanography, University of California、4.Research Center for Advanced Science and Technology, University of Tokyo)
15:00 〜 15:15
*末松 環1、柳瀬 友朗4,2、三浦 裕亮3、小玉 知央5、佐藤 正樹1 (1.東京大学大気海洋研究所、2.理化学研究所計算化学研究センター、3.東京大学理学系研究科、4.京都大学大学院理学研究科、5.海洋研究開発機構)