Session Details - AS17


Session Details
Section AS - Atmospheric Sciences
Session Title Variability and Predictability of the Multi-scale Asia-Pacific Climate System
Main Convener Dr. Chung-Kyu Park (APEC Climate Center, Korea, South)
Co-convener(s) Prof. Toshio Yamagata (University of Tokyo, Japan)
Prof. Bin Wang (IPCC/University of Hawaii, United States)
Prof. Hui-Jun Wang (Institute of Atmospheric Physics, China)
Dr. Harry Hendon (BMRC, Australia)
Prof. Jagadish Shukla (IGES/COLA,GMU, United States)
Dr. Antonio Navarra (INGV/CMCC, Italy)
Session Description Understanding and predicting climate variability of the Asia-Pacific sector has been a challenging issue owing to the multitude of complex processes and phenomena that vary on a wide range of spatial and temporal scales. Recent discoveries of new coupled atmosphere-ocean interactions such as the IOD, ENSO Modoki etc., for example, point out the need for further research in understanding the processes relevant to predictions and predictability of the Asia-Pacific climate. The background warming in recent three decades, either natural or anthropogenic, introduces long-term variability that poses yet other challenge for making predictions and for assessing predictability. Despite limitations, recent advances in GCMs and earth observations have helped to improve the understanding of intraseasonal to decadal predictability of the Asian-Pacific climate, and to advance systems for prediction.
We invite presentations on climate variability and predictability in the Asia-Pacific region, including the Asia-Australasian monsoons, tropical cyclone activity, coupled atmosphere ocean interactions such as ENSO and the IOD, their decadal and longer term behavior and their teleconnections, and intraseasonal variations such as the Madden-Julian Oscillation. The session is open to observational analyses and modeling studies relevant to the theme. We also invite papers on progress in prediction of the Asia-Pacific climate, including extreme events and intraseasonal, interannual and interdecadal variations.