17:15 〜 18:45
[ACG31-P01] Multi-year predictive skill of the wintertime heavy rainfall potentials in western Japan
*望月 崇1 (1.九州大学大学院理学研究院)
[E] ポスター発表
セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般
2024年5月27日(月) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)
コンビーナ:Murakami Hiroyuki(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research)、森岡 優志(海洋研究開発機構)、Kataoka Takahito、Yang Xiaosong(NOAA Geophysical Fluid Dynamics Laboratory)
Climate variability on subseasonal to centennial timescales (e.g., Madden-Julian Oscillation, El Nino/Southern Oscillation (ENSO), Indian Ocean Dipole, Pacific Decadal Variability, Atlantic Multidecadal Variability, Southern Ocean Centennial Variability) has significant impacts on global socioeconomic activities by inducing extreme climate events (e.g., atmospheric and marine heatwaves/coldwaves, hurricanes/typhoons/cyclones, and floods/droughts) and influencing their physical characteristics. Numerous efforts have been made to comprehensively understand and skillfully predict subseasonal to centennial climate variabilities using observation data and dynamical/statistical models. However, most models still undergo systematic biases in the amplitude, spatial patterns, and frequency of these climate variabilities. These model biases often stem from an inadequate grasp of weather and climate interactions across different spatiotemporal scales (e.g., tropical cyclones-ENSO) and incomplete representation of the complex and nonlinear processes within the climate system (e.g., troposphere-stratosphere coupling, atmosphere-ocean-sea ice interactions). Therefore, a seamless approach to climate modeling and observational studies across different spatiotemporal scales is essential. This session welcomes all research activities related to subseasonal to centennial climate variabilities and/or predictability utilizing observational data (e.g., satellite, ship, buoy/float, proxy data), theoretical/modeling approaches, and artificial intelligence/machine learning frameworks. Research topics involving the analysis of the Coupled Model Intercomparison Project Phase 6 (CMIP6) are also welcome.
17:15 〜 18:45
*望月 崇1 (1.九州大学大学院理学研究院)
17:15 〜 18:45
*Kairan Ying1、Dabang Jiang2、Xiaogu Zheng3、Carsten S. Frederiksen4 (1.National Institute of Natural Hazards、2.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China、3.International Global Change Institute, Hamilton, New Zealand、4.The Bureau of Meteorology, Melbourne, Australia)
17:15 〜 18:45
*Xiaosong Yang1、Thomas Delworth1、Liwei Jia1、Nathaniel Johnson1、Feiyu Lu1、Colleen McHugh1 (1.NOAA Geophysical Fluid Dynamics Laboratory)
17:15 〜 18:45
17:15 〜 18:45
*Yushi Morioka1、Syukuro Manabe2、Liping Zhang3,4、Thomas L. Delworth3、William Cooke3、Masami Nonaka1、Swadhin Behera1 (1.Japan Agency for Marine-Earth Science and Technology、2.Atmospheric and Oceanic Sciences Program, Princeton University、3.Geophysical Fluid Dynamics Laboratory, NOAA、4.University Corporation for Atmospheric Research, Boulder, Colorado)
17:15 〜 18:45
*Yi-chao Wu1、Li-Huan Hsu1、Shao-Chin Huang1、Wan-Ru Huang2、Jung-Lien Chu1、Yi-Chiang Yu1 (1.National Science and Technology Center for Disaster Reduction、2.Department of Earth Sciences, National Taiwan Normal University)
17:15 〜 18:45
*Zhenghui Lu1 (1.National Institute of Natural Hazards, Ministry of Emergency Management of China)
17:15 〜 18:45
*川上 雄真1、中野 英之1、浦川 昇吾1、豊田 隆寛1、坂本 圭2、西川 史朗3、杉山 徹3、黒木 聖夫3、石川 洋一3、佐藤 克成2、山中 吾郎1 (1.気象庁気象研究所、2.気象庁、3.海洋研究開発機構)
17:15 〜 18:45
*村上 裕之1、Cooke William1、水田 亮2、遠藤 洋和2、吉田 康平2、Wang Shuai3、Hsu Pang-Chi4 (1.Geophysical Fluid Dynamics Laboratory、2.気象研究所、3.Univeristy of Delaware、4.Nanjing University of Information Science and Technology)
17:15 〜 18:45
*Margarita Popkova1、Vladimir Shishov1 (1.Siberian Federal University)
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