日本地球惑星科学連合2022年大会

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[E] 口頭発表

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

[A-CG34] Climate Variability and Predictability on Subseasonal to Multidecadal Timescales

2022年5月25日(水) 09:00 〜 10:30 201A (幕張メッセ国際会議場)

コンビーナ:森岡 優志(海洋研究開発機構)、コンビーナ:Murakami Hiroyuki(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research)、那須野 智江(国立研究開発法人 海洋研究開発機構)、コンビーナ:Zhang Liping(NOAA GFDL Princeton)、Chairperson:Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research)、那須野 智江(国立研究開発法人 海洋研究開発機構)


Climate variability on subseasonal to multidecadal timescales (e.g., Madden-Julian Oscillation, El Nino/Southern Oscillation (ENSO), Indian Ocean Dipole, Pacific Decadal Variability, Atlantic Multidecadal Variability, Southern Ocean Centennial Variability) exerts great influences on global socioeconomic activities by modulating physical characteristics of extreme weather events (e.g., heatwaves/coldwaves, tropical cyclones, and floods/droughts). Many efforts have been made to accurately understand and skillfully predict subseasonal to multidecadal climate variability. However, models have shown systematic biases in amplitude, spatial pattern, and frequency of these climate variabilities. These model biases often stem from multiple factors such as poor 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 interactions) so that seamless studies on climate variability are required. This session invites all research activities related to the subseasonal to multidecadal climate variability using observational data (e.g., satellite, ship, buoy/float, proxy data), theoretical/modeling approaches, and artificial intelligence/machine learning frameworks. The research topics through analyzing Coupled Model Intercomparison Project Phase 6 (CMIP6) are also welcomed.

09:15 〜 09:30

*I-I Lin1、Suzana Camargo2、Christina Patricola3、Julien Boucharel4、Savin Chand5、Phil Klotzbach6、Johnny Chan7、Bin Wang4、Ping Chang9、Tim Li8、FeiFei Jin4 (1.National Taiwan University、2.Columbia University、3.Lawrence Berkeley Lab、4.University of Hawaii、5.Federation University、6.Colorado State University、7.City University of Hong Kong、8. University of Hawaii、9.Texas A and M University)

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