17:15 〜 18:30
*岩切 友希1、渡部 雅浩1 (1.東京大学大気海洋研究所)
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セッション情報
[E] ポスター発表
セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境
[A-OS09] Climate variability and predictability on subseasonal to multidecadal timescales
2021年6月3日(木) 17:15 〜 18:30 Ch.03
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)
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.