JpGU-AGU Joint Meeting 2020

Session information

[E] Poster

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS17] Climate variability and predictability on subseasonal to decadal timescales

convener:Takashi Mochizuki(Department of Earth and Planetary Sciences, Kyushu University), V Ramaswamy(NOAA GFDL), Yushi Morioka(Japan Agency for Marine-Earth Science and Technology)

Many efforts have been made to understand and predict climate on subseasonal to decadal timescales (e.g. MJO, IOD, ENSO, PDV, AMV), while our knowledge still remains at an insufficient level to fully resolve socioeconomic challenges arising from climate variations and change. Model simulations and predictions usually present large uncertainties, particularly due to lack of understanding of weather and climate interactions across different spatial and temporal timescales (e.g. tropical cyclones and ENSO), as well as due to multiple physical processes underlying climate variations (e.g. troposphere-stratosphere coupling, air-sea-ice interactions; atmosphere-ocean-land interactions). Recently, datasets from Coupled Model Intercomparison Project Phase 6 (CMIP6) have been opened to the public, and understanding and predicting the changing climate together with its impacts on frequency and intensity of abnormal weather (e.g. cold/heat waves, tropical storms, and floods/droughts) should also be a timely topic in the areas of earth science and socioeconomics. This session aims to share current knowledge of subseasonal to decadal climate variability and predictability in order to identify the unresolved issues and aim at a better understanding and accurate prediction. This session invites all abstracts related to the observational, theoretical, process-level and modelling research on subseasonal to decadal variability and predictability of climate.

*Yukiko Imada1, Hiroaki Tatebe2, Masayoshi Ishii1, Yoshimitsu Chikamoto6, Masato Mori4, Miki Arai2, Shinjiro Kanae5, Masahiro Watanabe3, Masahide Kimoto3 (1.Meteorological Research Institute, Japan Meteorological Agency, 2.Japan Agency for Marine-Earth Science and Technology, 3.Atmosphere and Ocean Research Institute, the University of Tokyo, 4.Research Center for Advanced Science and Technology, the University of Tokyo, 5.Tokyo Institute of Technology, 6.University of Utah)

*Jing Duan1,2,3, Yuanlong Li1,2,3, Lei Zhang4, Fan Wang1,2,3 (1.Institute of Oceanology, Chinese Academy of Sciences, 2.Function Laboratory for Ocean Dynamics and Climate, Qingdao National Laboratory for Marine Science and Technology, 3.Center for Ocean Mega-Science, Chinese Academy of Sciences, 4.Department of Atmospheric and Oceanic Sciences, University of Colorado)