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.