9:00 AM - 9:15 AM
[ACG32-01] Representation of the Madden-Julian Oscillation and its impacts in S2S models
★Invited Papers
*Frederic Vitart1 (1.European Centre for medium-range weather forecasts)
[E] Oral
A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General
Mon. May 22, 2023 9:00 AM - 10:15 AM 104 (International Conference Hall, Makuhari Messe)
convener:Yushi Morioka(Japan Agency for Marine-Earth Science and Technology), Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research), Takahito Kataoka, Liping Zhang, Chairperson:Hiroyuki Murakami(Geophysical Fluid Dynamics Laboratory/University Corporation for Atmospheric Research), Takahito Kataoka, Yushi Morioka(Japan Agency for Marine-Earth Science and Technology)
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 huge impacts on global socioeconomic activities by inducing extreme climate events (e.g., atmospheric and marine heatwaves/coldwaves, major hurricanes/typhoons/cyclones, and floods/droughts) and modulating their physical characteristics. Many efforts have been made to accurately understand and skillfully predict subseasonal to centennial climate variabilities using observation data and dynamical/statistical models. However, most models still undergo systematic biases in amplitude, spatial pattern, and frequency of these climate variabilities. The model biases often originate from a lack of understanding of weather and climate interactions across different spatiotemporal scales (e.g., tropical cyclones-ENSO) and incomplete representation of complex and non-linear processes in the climate system (e.g., troposphere-stratosphere coupling, atmosphere-ocean-sea ice interactions). Therefore, seamless climate modeling and observational studies across different spatiotemporal scales are indispensable. This session invites all research activities related to the subseasonal to centennial climate variabilities 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.
9:00 AM - 9:15 AM
*Frederic Vitart1 (1.European Centre for medium-range weather forecasts)
9:15 AM - 9:30 AM
*Takashi Kawamura1, Kento Usui1, Satoru Okajima2, Shion Sekizawa2, Ayumu Miyamoto2, Masaki Toda2, Yu Kosaka2, Hisashi Nakamura2 (1.Faculty of Science, University of Tokyo, 2.Research Center for Advanced Science and Technology, University of Tokyo)
9:30 AM - 9:45 AM
*Mingyu Park1,2, Nathaniel Johnson2 (1.Princeton Univ., 2.Geophysical Fluid Dynamics Laboratory)
9:45 AM - 10:00 AM
*Takeshi Doi1, Swadhin Behera1 (1.JAMSTEC)
10:00 AM - 10:15 AM
*Shoji Hirahara1, Yutaro Kubo1,2, Takuma Yoshida1,2, Takuya Komori1,2, Toshinari Takakura1,2, Hiroyuki Sugimoto1,2,3, Yukimasa Adachi2,1, Ichiro Ishikawa1,2, Yosuke Fujii1,2, Yuhei Takaya1,2 (1.Meteorological Research Institute, 2.Numerical Prediction Development Center, 3.Japan Meteorological Agency)
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